Hung T. Nguyen

发表

Statistical and Dempster-Shafer techniques in testing structural integrity of aerospace structures

Roberto A. Osegueda, Seetharami R. Seelam, Ana C. Holguin, 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

From Numerical Intervals to Set Intervals (Interval-Related Results Presented at the First International Workshop on Applications and Theory of Random Sets)

Vladik Kreinovich, Hung T. Nguyen, 1997, Reliab. Comput..

50 Years of fuzzy: from discrete to continuous to - Where?

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2015, J. Intell. Fuzzy Syst..

How to fully represent expert information about imprecise properties in a computer system: random sets, fuzzy sets, and beyond: an overview

Vladik Kreinovich, Hung T. Nguyen, 2014, Int. J. Gen. Syst..

Which fuzzy logic is the best: Pragmatic approach (and its theoretical analysis)

Vladik Kreinovich, Hung T. Nguyen, 2006, Fuzzy Sets Syst..

Fuzzy systems are universal approximators for a smooth function and its derivatives

Vladik Kreinovich, Hung T. Nguyen, Yeung Yam, 2000, Int. J. Intell. Syst..

Random sets and imprecise probabilities

Hung T. Nguyen, Enrique Miranda, 2007, Int. J. Approx. Reason..

Intelligent technologies: An introduction

Vladik Kreinovich, Hung T. Nguyen, Pratit Santiprabhob, 2004, Int. J. Intell. Syst..

Extension of the concept of propositional deduction from classical logic to probability: an overview of probability-selection approaches

Hung T. Nguyen, Donald Bamber, I. R. Goodman, 2001, Inf. Sci..

Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy Beyond Experts and Beyond Probabilities

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2016, Int. J. Intell. Syst..

Extracting fuzzy sparse rules by Cartesian representation and clustering

Vladik Kreinovich, Hung T. Nguyen, Yeung Yam, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

A Hypergeometric Distribution

Hung T. Nguyen, Gerald S. Rogers, 1989 .

Towards Intuitive Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2009, IFSA/EUSFLAT Conf..

Nonparametric estimation of a scalar diffusion model from discrete time data: a survey

Hung T. Nguyen, Songsak Sriboonchitta, Christian Gouriéroux, 2017, Ann. Oper. Res..

Decision making beyond arrow's “impossibility theorem,” with the analysis of effects of collusion and mutual attraction

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2009, Int. J. Intell. Syst..

Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2015, IUKM.

Uncertainty Analysis in Economics and Finance: Preface to the Special Issue

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2020, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2018, Structural Changes and their Econometric Modeling.

Testing Simple Hypotheses

Hung T. Nguyen, Gerald S. Rogers, 1989 .

How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2018, Predictive Econometrics and Big Data.

Fuzzy control as a universal control tool

Vladik Kreinovich, Hung T. Nguyen, Ongard Sirisaengtaksin, 1996, Fuzzy Sets Syst..

Studying Volatility and Dependency of Chinese Outbound Tourism Demand in Singapore, Malaysia, and Thailand: A Vine Copula Approach

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2014, TES.

Second-order uncertainty as a bridge between probabilistic and fuzzy approaches

Vladik Kreinovich, Hung T. Nguyen, Luc Longpré, 2001, EUSFLAT Conf..

Interpolation that leads to the narrowest intervals and its application to expert systems and intelligent control

Vladik Kreinovich, Hung T. Nguyen, Robert N. Lea, 1995, Reliab. Comput..

Why are Vine Copulas so Successful in Econometrics?

Hung T. Nguyen, Olga Kosheleva, Songsak Sriboonchitta, 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Editorial

Vladik Kreinovich, Hung T. Nguyen, Pratit Santiprabhob, 2007, J. Adv. Comput. Intell. Intell. Informatics.

Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing

Vladik Kreinovich, Hung T. Nguyen, Jan Beck, 2007, Inf. Sci..

Fuzzy sets and probability

Hung T. Nguyen, H. Nguyen, 1997, Fuzzy Sets Syst..

A Theory of Conditional Information For Probabilistic Inference in Intelligent Systems: II. Product Space Approach

Hung T. Nguyen, I. R. Goodman, 1994, Inf. Sci..

On the formulation of optimization under elastic constraints (with control in mind)

Vladik Kreinovich, Hung T. Nguyen, Bernadette Bouchon-Meunier, 1996, Fuzzy Sets Syst..

Fundamentals of Statistics with Fuzzy Data

Hung T. Nguyen, Berlin Wu, B. Wu, 2006, Studies in Fuzziness and Soft Computing.

Trade-off between sample size and accuracy: Case of measurements under interval uncertainty

Vladik Kreinovich, Hung T. Nguyen, Scott Ferson, 2009, Int. J. Approx. Reason..

Extreme distributions on intervals

Vladik Kreinovich, Hung T. Nguyen, Wararit Panichkitkosolkul, 2011 .

Research on advanced soft computing and its applications

Vladik Kreinovich, Vilém Novák, Hung T. Nguyen, 2004, Soft Comput..

Symmetries: A General Approach to Integrated Uncertainty Management

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2010, IUM.

A Vine Copula Approach for Analyzing Financial Risk and Co-movement of the Indonesian, Philippine and Thailand Stock Markets

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2014, TES.

On Belief Functions and Random Sets

Hung T. Nguyen, H. Nguyen, 2012, Belief Functions.

New applications of relational event algebra to fuzzy quantification and probabilistic reasoning

Hung T. Nguyen, Donald Bamber, I. R. Goodman, 2002, Inf. Sci..

Reduction to independent variables: from normal distribution to general statistical case to fuzzy

Vladik Kreinovich, Hung T. Nguyen, Mourad Oussalah, 2001, EUSFLAT Conf..

Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty

Vladik Kreinovich, Hung T. Nguyen, 2008, Interval / Probabilistic Uncertainty and Non-Classical Logics.

Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness

Vladik Kreinovich, Hung T. Nguyen, Martine Ceberio, 2009, Foundations of Computational Intelligence.

Complexity reducing algorithm for near optimal fusion (CRANOF) with application to tracking and information fusion

Hung T. Nguyen, Donald Bamber, I. R. Goodman, 2001, SPIE Defense + Commercial Sensing.

Robust reasoning with rules that have exceptions: From second-order probability to argumentation via upper envelopes of probability and possibility plus directed graphs

Hung T. Nguyen, Donald Bamber, I. R. Goodman, 2005, Annals of Mathematics and Artificial Intelligence.

In memory of Professor Hideo Tanaka: A tennis match that never happened

Hung T. Nguyen, 2015, Fuzzy Sets Syst..

Modeling Random Phenomena

Hung T. Nguyen, Denis Bosq, 1996 .

Invariance Explains Multiplicative and Exponential Skedactic Functions

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2016, Causal Inference in Econometrics.

Chu Spaces: Towards New Foundations for Fuzzy Logic and Fuzzy Control, with Applications to Information Flow on the World Wide Web

Vladik Kreinovich, Hung T. Nguyen, Berlin Wu, 2001, J. Adv. Comput. Intell. Intell. Informatics.

Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2009, Foundations of Computational Intelligence.

How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2018, Predictive Econometrics and Big Data.

How to estimate expected shortfall when probabilities are known with interval or fuzzy uncertainty

Vladik Kreinovich, Hung T. Nguyen, Christian Servin, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees

Vladik Kreinovich, Yiyu Yao, Hung T. Nguyen, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Exclusive OR Operation That Leads to the Narrowest Intervals

Hung T. Nguyen, Alfredo Gabaldon, Alfredo Gabaldon, 1998, Reliab. Comput..

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2004, Reliab. Comput..

Hyperbolic approach to fuzzy control is optimal

Vladik Kreinovich, Hung T. Nguyen, Michael Margaliot, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

A Statistical Basis for Fuzzy Engineering Economics

Hung T. Nguyen, Berlin Wu, Songsak Sriboonchitta, 2015, Int. J. Fuzzy Syst..

Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty

Vladik Kreinovich, Hung T. Nguyen, Scott Ferson, 2008, Interval / Probabilistic Uncertainty and Non-Classical Logics.

A Measure of Average sensitivity for fuzzy Logics

Vladik Kreinovich, Hung T. Nguyen, Dana Tolbert, 1994, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Beyond Traditional Probabilistic Methods in Econometrics

Hung T. Nguyen, Nguyen Ngoc Thach, Nguyen Duc Trung, 2018, ECONVN.

Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2015, IUKM.

Fuzzy Aggregation Techniques in Situations Without Experts: Towards A New Justification

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

Dirty pages of logarithm tables, lifetime of the universe, and subjective (fuzzy) probabilities on finite and infinite intervals

Vladik Kreinovich, Hung T. Nguyen, Luc Longpré, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Deduction from conditional knowledge

Hung T. Nguyen, Donald Bamber, I. R. Goodman, 2004, Soft Comput..

Fifty Years of Fuzzy Sets: Contributions to Fuzzy Theory (Preface to the Special Issue)

Vladik Kreinovich, Hung T. Nguyen, 2016, Int. J. Intell. Syst..

Prescription of N topdressing rates at panicle initiation stage of rice

Hung T. Nguyen, Byun-Woo Lee, Byun-Woo Lee, 2005 .

Fuzzy and random sets

Hung T. Nguyen, 2005, Fuzzy Sets Syst..

Epistemic Uncertainty Modeling: The-state-of-the-art

Hung T. Nguyen, 2015, IUKM.

On Fuzzy Theory for Econometrics

Hung T. Nguyen, Songsak Sriboonchitta, 2015, Fifty Years of Fuzzy Logic and its Applications.

Quantum Ideas in Economics Beyond Quantum Econometrics

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2018, ECONVN.

Fuzzy/Probability ~ Fractal/Smooth

Vladik Kreinovich, Hung T. Nguyen, Berlin Wu, 1999, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms

Witold Pedrycz, Vladik Kreinovich, Hung T. Nguyen, 2001, EUSFLAT Conf..

On Chu spaces in uncertainty analysis

Hung T. Nguyen, Nhu T. Nguyen, N. Nguyen, 2000, Int. J. Intell. Syst..

On Capacity Functionals in Interval Probabilities

Tonghui Wang, Hung T. Nguyen, Nhu T. Nguyen, 1997, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Sensitivity Analysis of Neural Control

Vladik Kreinovich, Chin-Wang Tao, Hung T. Nguyen, 2003 .

Logic-motivated choice of fuzzy logic operators

Witold Pedrycz, Vladik Kreinovich, Hung T. Nguyen, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible

Vladik Kreinovich, Hung T. Nguyen, Bernadette Bouchon-Meunier, 1997, Fuzzy Sets Syst..

Sufficient Statistics and Uniformly Most Powerful Tests

Hung T. Nguyen, Gerald S. Rogers, G. S. Rogers, 1989 .

On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems

Vladik Kreinovich, Hung T. Nguyen, Berlin Wu, 2007, Inf. Sci..

Testing When the Support Contains Parameters

Hung T. Nguyen, Gerald S. Rogers, G. S. Rogers, 1989 .

On Choquet Integral Risk Measures

Hung T. Nguyen, Songsak Sriboonchitta, 2010, IUM.

Conditional inference and logic for intelligent systems - a theory of measure-free conditioning

Hung T. Nguyen, I. R. Goodman, Elbert A. Walker, 1991 .

Normal Forms for fuzzy Logic - an Application of Kolmogorov's Theorem

Vladik Kreinovich, Hung T. Nguyen, David A. Sprecher, 1996, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

From Mean and Median Income to the Most Adequate Way of Taking Inequality into Account

Vladik Kreinovich, Hung T. Nguyen, Rujira Ouncharoen, 2015, Econometrics of Risk.

Uncertain information fusion and knowledge integration: How to take reliability into account

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Towards Efficient Prediction of Decisions under Interval Uncertainty

Vladik Kreinovich, Hung T. Nguyen, Van-Nam Huynh, 2007, PPAM.

A new derivation of centroid defuzzification

Vladik Kreinovich, Hung T. Nguyen, Mourad Oussalah, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Mathematical Foundations of Conditionals and their Probabilistic Assignments

Hung T. Nguyen, I. R. Goodman, 1995, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

On modeling of linguistic information using random sets

Hung T. Nguyen, 1984, Inf. Sci..

Gaussian processes and martingales for fuzzy valued random variables with continuous parameter

Hung T. Nguyen, Yukio Ogura, Shoumei Li, 2001, Inf. Sci..

Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 1996, Int. J. Intell. Syst..

On probabilistic methods in fuzzy theory

Tonghui Wang, Hung T. Nguyen, Berlin Wu, 2004, Int. J. Intell. Syst..

Towards Theoretical Foundations of Soft Computing Applications

Vladik Kreinovich, Hung T. Nguyen, 1995, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A theory of conditional information for probabilistic inference in intelligent systems: III. Mathematical appendix

Hung T. Nguyen, I. R. Goodman, 1993, Inf. Sci..

Decision science: Foundations and applications introduction to the special issue

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2009, Int. J. Intell. Syst..

An Application of Fuzzy Mathematical Morphology to Interval-Valued Knowledge Representation: A Remark

Hung T. Nguyen, Antony T. Popov, Leonid K. Reznik, 1998, Reliab. Comput..

An Acceptance Sampling Plan

Hung T. Nguyen, Gerald S. Rogers, 1989 .

On Evidential Measures of Support for Reasoning with Integrated Uncertainty: A Lesson from the Ban of P-values in Statistical Inference

Hung T. Nguyen, H. Nguyen, 2016, IUKM.

Random sets and large deviations principle as a foundation for possibility measures

Hung T. Nguyen, Bernadette Bouchon-Meunier, B. Bouchon-Meunier, 2003, Soft Comput..

Logit discrete choice model: a new distribution-free justification

Vladik Kreinovich, Hung T. Nguyen, Ruey Long Cheu, 2008, Soft Comput..

Computing the cube of an interval matrix is NP-Hard

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2005, SAC '05.

On dynamics of cautious belief and conditional objects

Hung T. Nguyen, Philippe Smets, P. Smets, 1993, Int. J. Approx. Reason..

How to Detect Linear Dependence on the Copula Level?

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2014, TES.

Across-the-Board Spending Cuts Are Very Inefficient: A Proof

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2016, Causal Inference in Econometrics.

How to describe partially ordered preferences, mathematical foundations

Vladik Kreinovich, Hung T. Nguyen, Bernadette Bouchon-Meunier, 1998 .

Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2016, Causal Inference in Econometrics.

What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

On hardware support for interval computations and for soft computing: theorems

Vladik Kreinovich, Hung T. Nguyen, Mutsumi Nakamura, 1997, IEEE Trans. Fuzzy Syst..

Mathematical foundations for intelligent technologies

Vladik Kreinovich, Hung T. Nguyen, Sompong Dhompongsa, 2007, Information Sciences.

On Nonlinear Correlation of Random Elements

Hung T. Nguyen, H. Nguyen, 2011, NL-MUA.

Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering

Vladik Kreinovich, Hung T. Nguyen, Berlin Wu, 2012, Studies in Computational Intelligence.

Les incertitudes dans les systèmes intelligents

Hung T. Nguyen, B. Bouchon-Meunier, B. Bouchon-Meunier, 1996 .

Interval sessions at NAFIPS/IFIS/NASA’94

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1995, Reliab. Comput..

50 Years of Fuzzy Sets: Preface

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Strict Archimedean t-norms and t-conorms as universal approximators

Vladik Kreinovich, Hung T. Nguyen, Piotr J. Wojciechowski, 1998, Int. J. Approx. Reason..

To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Probability Updating Using Second Order Probabilities and Conditional Event Algebra

Hung T. Nguyen, I. R. Goodman, I. Goodman, 1999, Inf. Sci..

Which truth values in fuzzy logics are definable?

Vladik Kreinovich, Hung T. Nguyen, Antonio di Nola, 2003, Int. J. Intell. Syst..

How to Interpret Neural Networks in Terms of Fuzzy Logic

Vladik Kreinovich, Hung T. Nguyen, Sompong Dhompongsa, 2001 .

The Replacement for Hypothesis Testing

Hung T. Nguyen, David Trafimow, William M. Briggs, 2018, Structural Changes and their Econometric Modeling.

A Closer Look at the Modeling of Economics Data

Hung T. Nguyen, Nguyen Ngoc Thach, 2019, ECONVN.

On modeling of if‐then rules for probabilistic inference

Hung T. Nguyen, I. R. Goodman, I. Goodman, 1994, Int. J. Intell. Syst..

Discrete — Time Markov Chains

Hung T. Nguyen, Denis Bosq, 1996 .

Maximum Entropy Algorithms for Uncertainty Measures

Hidetomo Ichihashi, Hung T. Nguyen, Yoichiro Maeda, 1993, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

On some claims related to Choquet integral risk measures

Hung T. Nguyen, Uyen Hoang Pham, Hien D. Tran, 2012, Ann. Oper. Res..

Some mathematical structures for computational information

Hung T. Nguyen, H. Nguyen, 2000, Inf. Sci..

Choquet weak convergence of capacity functionals of random sets

Hung T. Nguyen, Ding Feng, Ding Feng, 2007, Inf. Sci..

Vine Copulas As a Way to Describe and Analyze Multi-Variate Dependence in Econometrics: Computational Motivation and Comparison with Bayesian Networks and Fuzzy Approaches

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2014, TES.

Unimodality, Independence Lead to NP-Hardness of Interval Probability Problems

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2007, Reliab. Comput..

On Quantum Probability Calculus for Modeling Economic Decisions

Hung T. Nguyen, Songsak Sriboonchitta, Nguyen Ngoc Thach, 2018, Structural Changes and their Econometric Modeling.

A course in stochastic processes

Hung T. Nguyen, Satish Iyengar, Denis Bosq, 1996 .

Membership functions representing a number vs. representing a set: Proof of unique reconstruction

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Modeling volatility and dependency of agricultural price and production indices of Thailand: Static versus time-varying copulas

Hung T. Nguyen, Songsak Sriboonchitta, Jianxu Liu, 2013, Int. J. Approx. Reason..

Why Lattice-valued fuzzy values? A mathematical justification

Vladik Kreinovich, Hung T. Nguyen, Rujira Ouncharoen, 2015, J. Intell. Fuzzy Syst..

On Modeling of Uncertainty Measures and Observed Processes

Hung T. Nguyen, 2008, Interval / Probabilistic Uncertainty and Non-Classical Logics.

Basic Probability Background

Hung T. Nguyen, Denis Bosq, 1996 .

On the possibility of using complex values in fuzzy logic for representing inconsistencies

Vladik Kreinovich, Hung T. Nguyen, Valery Shekhter, 1998, Int. J. Intell. Syst..

Why Sugeno λ-measures

Vladik Kreinovich, Hung T. Nguyen, Saiful Abu, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals

Vladik Kreinovich, Hung T. Nguyen, Luc Longpré, 2003, Reliab. Comput..

Fuzzy techniques explain empirical power law governing wars and terrorist attacks

Vladik Kreinovich, Hung T. Nguyen, Kittawit Autchariyapanitkul, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

What if We Only Have Approximate Stochastic Dominance?

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2015, Econometrics of Risk.

Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2016, IUKM.

Asymmetric information measures: how to extract knowledge from an expert so that the expert's effort is minimal

Vladik Kreinovich, Hung T. Nguyen, Elizabeth Kamoroff, 2008, Int. J. Autom. Control..

Continuous — Time Markov Chains

Hung T. Nguyen, Denis Bosq, 1996 .

How to divide a territory? A new simple differential formalism for optimization of set functions

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1999, Int. J. Intell. Syst..

On the optimal choice of quality metric in image compression: a soft computing approach

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

Interval-Valued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control

Vladik Kreinovich, Hung T. Nguyen, Qiang Zuo, 1997, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Matching and Catching

Hung T. Nguyen, Gerald S. Rogers, 1989 .

Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2017, Robustness in Econometrics.

Theoretical foundation for iterative assessment of conditional confidence measures in the framework of conditional measure theoretic-approach

Vladik Kreinovich, Hung T. Nguyen, Mourad Oussalah, 2001, EUSFLAT Conf..

A Note on Random Upper Semicontinuous Functions

Santi Tasena, Hung T. Nguyen, Yukio Ogura, 2006, SMPS.

On Random Sets and Belief Functions

Hung T. Nguyen, H. Nguyen, 1978, Classic Works of the Dempster-Shafer Theory of Belief Functions.

On Random Sets for Inference in Statistics and Econometrics

Hung T. Nguyen, H. Nguyen, 2021, Prediction and Causality in Econometrics and Related Topics.

Special issue on soft computing in economic application

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2021, Soft Comput..

A note on the extension principle for fuzzy sets

Hung T. Nguyen, H. Nguyen, 1978 .

Random sets : theory and applications

Hung T. Nguyen, John I. Goutsias, R. Mahler, 1997 .

Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems

Hung T. Nguyen, V. Kreinovich, O. Kosheleva, 1996 .

Theoretical aspects of fuzzy control

Hung T. Nguyen, M. Sugeno, R. Yager, 1995 .

Possibility Theory, Probability and Fuzzy Sets Misunderstandings, Bridges and Gaps

Hung T. Nguyen, D. Dubois, H. Prade, 2000 .

Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty

Hung T. Nguyen, I. Goodman, H. Nguyen, 1985 .

Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference

Hung T. Nguyen, M. Grabisch, H. Nguyen, 1994 .

An Introduction to Random Sets

Hung T. Nguyen, H. Nguyen, 2006 .

A First Course in Fuzzy Logic

Hung T. Nguyen, E. Walker, H. Nguyen, 1996 .

Fuzzy systems are universal approximators for a smooth function and its derivatives

Hung T. Nguyen, V. Kreinovich, Y. Yam, 2000 .

Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty

Hung T. Nguyen, Hung T. Nguyen, Irwin R. Goodman, 1985 .

On conditional possibility distributions

Hung T. Nguyen, H. Nguyen, 1978 .

On decision making using belief functions

Hung T. Nguyen, E. Walker, H. Nguyen, 1994 .

On Random Sets and Belief Functions

Hung T. Nguyen, H. Nguyen, 1978, Classic Works of the Dempster-Shafer Theory of Belief Functions.

Density Estimation in a Continuous-Time Stationary Markov Process

Hung T. Nguyen, H. Nguyen, 1979 .

Conditional Logic in Expert Systems

Madan M. Gupta, Hung T. Nguyen, Hung T. Nguyen, 1991 .

A Survey of Uncertainty Measures: Structures and Applications

Hung T. Nguyen, H. Nguyen, 1984, 1984 American Control Conference.

On fuzziness and linguistic probabilities

Hung T. Nguyen, H. Nguyen, 1977 .

Some mathematical tools for linguistic probabilities

Hung T. Nguyen, H. Nguyen, 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.

Optimization and Decision Making under Interval and Fuzzy Uncertainty: Towards New Mathematical Foundations

Hung T. Nguyen, V. Kreinovich, 2006 .

Estimation in change-point hazard rate models

Hung T. Nguyen, E. Walker, G. S. Rogers, 1984 .

How to divide a territory? A new simple differential formalism for optimization of set functions

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1999 .

Fuzzy Systems: Modeling and Control

Hung T. Nguyen, M. Sugeno, H. Nguyen, 1998 .

Group-theoretic approach as a general framework for sensors, neural networks, fuzzy control, and genetic boolean networks

Hung T. Nguyen, V. Kreinovich, Chitta Baral, 2004 .

Manipulating the Alpha Level Cannot Cure Significance Testing

Hung T. Nguyen, Corson N. Areshenkoff, Sergio E. Chaigneau, 2017, Front. Psychol..

Bootstrapping the change-point of a hazard rate

Hung T. Nguyen, Tuan Pham, H. Nguyen, 1993 .

Why it is important to precisiate goals

Hung T. Nguyen, V. Kreinovich, O. Kosheleva, 2016 .

Estimating Risk under Interval Uncertainty: Sequential and Parallel Algorithms

Hung T. Nguyen, V. Kreinovich, S. Sriboonchitta, 2010 .

Computing Degrees of Subsethood and Similarity for Interval-Valued Fuzzy Sets: Fast Algorithms

Hung T. Nguyen, V. Kreinovich, H. Nguyen, 2008 .

On the law of large numbers for continuous-time martingales and applications to statistics.

Hung T. Nguyen, Tuan Pham, H. Nguyen, 1982 .

Fuzzy logic, logic programming, and linear logic: towards a new understanding of common sense

Hung T. Nguyen, V. Kreinovich, H. Nguyen, 1996, Proceedings of North American Fuzzy Information Processing.

A First Course in Fuzzy Logic

Hung T. Nguyen, E. Walker, C. Walker, 1996 .

Quadratic Forms in Normal Random Variables

Hung T. Nguyen, Gerald S. Rogers, G. S. Rogers, 1989 .

Decision making beyond arrow's “impossibility theorem,” with the analysis of effects of collusion and mutual attraction

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2009 .

Nested Intervals and Sets: Concepts, Relations to Fuzzy Sets, and Applications

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1996 .

On the Sum of Random Variables

Hung T. Nguyen, Gerald S. Rogers, G. S. Rogers, 1989 .

Prediction in Econometrics: Towards Mathematical Justification of Simple (and Successful) Heuristics

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2011 .

A New Differential Formalism for Interval-Valued Functions and its Potential Use in Detecting 1-D Landscape Features

Vladik Kreinovich, Hung T. Nguyen, Graçaliz Pereira Dimuro, 2003 .

Probability for statistics

Hung T. Nguyen, Gerald S. Rogers, G. S. Rogers, 1989 .

Combining Fuzzy and Probabilistic KnowledgeUsing Belief

Hung T. Nguyen, Claude Langrand, FunctionsVladik Kreinovich, 2001 .

Uncertainty in Risk Analysis : Towards a GeneralSecond-Order Approach Combining Interval , Probabilistic , and Fuzzy

Vladik Kreinovich, Hung T. Nguyen, Scott A. Starks, 2002 .

Asymptotic Normality of Maximum Likelihood Estimators

Hung T. Nguyen, Gerald S. Rogers, G. S. Rogers, 1989 .

Strong Negation: Its Relation to Intervals and its Use in Expert Systems

Vladik Kreinovich, Hung T. Nguyen, Mirko Navara, 1998 .

Optimal Choices of Potential Functions in Fuzzy Clustering

Vladik Kreinovich, Hung T. Nguyen, Yeung Yam, 1998 .

Fuzzy-Neural and Neural-Fuzzy Control

Nadipuram Prasad, Hung T. Nguyen, Hung T. Nguyen, 2002 .

On Foundations of Fuzzy Theory for Soft Computing

Hung T. Nguyen, H. Nguyen, 2006 .

Three Particular Conditional Event Algebras

Hung T. Nguyen, R. Mahler, I. Goodman, 1997 .

On robustness of fuzzy logics

Hung T. Nguyen, V. Kreinovich, D. Tolbert, 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

Possible New Directions in Mathematical Foundations of Fuzzy Technology: A Contribution to the Mathematics of Fuzzy Theory

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1998 .

Non-associative operations

Vladik Kreinovich, Hung T. Nguyen, Bernadette Bouchon-Meunier, 2001 .

Random Fuzzy Sets

Vladik Kreinovich, Hung T. Nguyen, 2007 .

Fuzzy modeling and control : selected works of M. Sugeno

Michio Sugeno, Hung T. Nguyen, Nadipuram R. Prasad, 1999 .

Why P-values are Banned?

Hung T. Nguyen, 2016 .

Application and Theory of Random Sets.

Hung T. Nguyen, Avner Friedman, Ronald Mahler, 1997 .

On the Scoring Approach to Admissibility of Uncertainty Measures in Expert Systems

Hung T. Nguyen, I. R. Goodman, Gerald S. Rogers, 1991 .

Chu Spaces - a New Approach to Diagnostic Information Fusion

Hung T. Nguyen, V. Kreinovich, B. Wu, 1999 .

Chu Spaces: towards New Justiication for Fuzzy Heuristics 1 What Are Chu Spaces? 1.1 World According to Classical Physics 1.2 Non-determinism in Modern Physics: Enter Chu Spaces 1.3 Precise Deenition of a Chu Space

Hung T. Nguyen, V. Kreinovich, H.T. Nguyen, 2007 .

Chu Spaces: Towards New Justification for Fuzzy Heuristics

Hung T. Nguyen, V. Kreinovich, N. Nguyen, 2000 .

On Chu spaces in uncertainty analysis

Hung T. Nguyen, Nhu T. Nguyen, N. Nguyen, 2000 .

Stochastic Volatility Models and Financial Risk Measures: Towards New Justifications

Hung T. Nguyen, V. Kreinovich, S. Sriboonchitta, 2009 .

A New Justification of Wang Transform Operator in Financial Risk Analysis

Hung T. Nguyen, V. Kreinovich, S. Sriboonchitta, 2009 .

How to Relate Spectral Risk Measures and Utilities

Hung T. Nguyen, V. Kreinovich, S. Sriboonchitta, 2010 .

On Modeling of Uncertainty in Behavioral Economics

Hung T. Nguyen, H. Nguyen, 2020 .

Soft Computing Explains Heuristic Numerical Methods in Data Processing and in Logic Programming

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1997 .

On the possibility of using complex values in fuzzy logic for representing inconsistencies

Vladik Kreinovich, Hung T. Nguyen, Valery Shekhter, 1998, Int. J. Intell. Syst..

Towards Neural-Based Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 2009 .

Decision making based on satellite images: optimal fuzzy clustering approach

Vladik Kreinovich, Hung T. Nguyen, Yeung Yam, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Mamdani's Rule: a \weird" Use of \and" as Implication Justiied by Modern Logic

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1994 .

A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion

Hung T. Nguyen, Donald Bamber, I. R. Goodman, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Random fuzzy sets

Vladik Kreinovich, Hung T. Nguyen, Gang Xiang, 2007 .

Classical-logic analogue of a fuzzy "paradox"

Vladik Kreinovich, Hung T. Nguyen, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

How to Bargain: An Interval Approach

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2011 .

Identification of Nonstationary Diffusion Model by the Method of Sieves

Hung T. Nguyen, Tuan D. Pham, 1982 .

How to make sure that "/spl ap/100"+1 is /spl ap/100 in fuzzy arithmetic: solution and its (inevitable) drawbacks

Witold Pedrycz, Hung T. Nguyen, W. Pedrycz, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Need to Combine Interval and Probabilistic Uncertainty: What Needs to Be Computed, What Can Be Computed, What Can Be Feasibly Computed, and How Physics Can Help

Hung T. Nguyen, V. Kreinovich, S. Sriboonchitta, 2018 .

How to Estimate Forecasting Quality: A System- Motivated Derivation of Symmetric Mean Absolute Percentage Error (SMAPE) and Other Similar Characteristics

Vladik Kreinovich, Hung T. Nguyen, Rujira Ouncharoen, 2014 .

Need for Most Accurate Discrete Approximations Explains Heavy-Tailed Distributions

Hung T. Nguyen, V. Kreinovich, O. Kosheleva, 2016 .

3 Hypothesis Testing : Realistic Case of Incomplete Knowledge

Hung T. Nguyen, V. Kreinovich, I. Neumann, 2008 .

Statistical Hypothesis Testing Under Interval Uncertainty: An Overview

Vladik Kreinovich, Hung T. Nguyen, Sa-aat Niwitpong, 2007 .

SIGMOID NEURONS ARE THE SAFEST AGAINST ADDITIVE ERRORS

Vladik Kreinovich, Hung T. Nguyen, Ongard Sirisaengtaksin, 2008 .

Why Clayton and Gumbel Copulas: A Symmetry-Based Explanation

Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, 2013 .

Statistics of Fuzzy Data: A Research Direction for Applied Statistics

Hung T. Nguyen, H. Nguyen, 2015 .

On Statistical Inference with Random Sets

Hung T. Nguyen, Ding Feng, Ding Feng, 2004 .

Testing of Hypotheses for Distinctness of Events and Event Similarity Issues

Hung T. Nguyen, Hung T. Nguyen, I. R. Goodman, 1997 .

From Interval Methods of Representing Uncertainty to a General Description of Uncertainty

Vladik Kreinovich, Hung T. Nguyen, Scott Ferson, 1999 .

A First Coures in Fuzzy Logic

Hung T. Nguyen, Hung T. Nguyen, Elbert A. Walker, 1999 .

Statistical and dempster-shafer techniques in testing structural integrity of aerospace structures

Vladik Kreinovich, Roberto A. Osegueda, Ana C. Holguin, 2001 .

A Course in Stochastic Processes: Stochastic Models And Statistical Inference

Hung T. Nguyen, Denis Bosq, 2010 .

A First Course in Fuzzy Logic, Third Edition

Hung T. Nguyen, Hung T. Nguyen, Elbert A. Walker, 2005 .

Examining the Consistence of Futures Margin Levels using Bivariate Extreme Value Copulas

Hung T. Nguyen, V. Kreinovich, S. Sriboonchitta, 2014 .

Interval-Valued Fuzzy Control in Space Exploration

Vladik Kreinovich, Hung T. Nguyen, 2014 .

Fuzzy Justification of Heuristic Methods in Inverse Problems and in Numerical Computations, with Applications to Detection of Business Cycles from Fuzzy and Intuitionistic Fuzzy Data

Hung T. Nguyen, V. Kreinovich, K. Atanassov, 1998 .

A first course in fuzzy logic (3. ed.)

Hung T. Nguyen, Hung T. Nguyen, Elbert A. Walker, 2005 .

Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem

Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, 2017 .

Intelligent Control in Space Exploration : What Non-Linearity to Choose ?

Hung T. Nguyen, V. Kreinovich, H. Nguyen, 2014 .

An Algebraic Approach to Reasoning with Conditional Information

Hung T. Nguyen, H. Nguyen, 1993 .

A Copula Approach to Model Validation

Hung T. Nguyen, 2011 .

Why Sugeno lambda-Measures

Vladik Kreinovich, Hung T. Nguyen, Saiful Abu, 2015 .

Kolmogorov's theorem and its impact on soft computing

Vladik Kreinovich, Hung T. Nguyen, V. Kreinovich, 1997 .

Why unary and binary operations in logic: general result motivated by interval-valued logics

Vladik Kreinovich, Hung T. Nguyen, I. R. Goodman, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Foundations for an algebraic theory of conditioning

Hung T. Nguyen, Irwin R. Goodman, I. Goodman, 1991 .

A NEGATIVE VERSION OF CHOQUET THEOREM FOR POLISH SPACES

Hung T. Nguyen, Nguyen To Nhu, 1998 .

A Statistical Analysis for Rule Base Reduction

Vladik Kreinovich, Hung T. Nguyen, Claude Langrand, 2001 .

The Cumulative Distribution Function

Hung T. Nguyen, Gerald S. Rogers, G. S. Rogers, 1989 .

Towards Formalization of Feasibility, Randomness, and Commonsense Implication: Kolmogorov Complexity, and the Necessity of Considering (Fuzzy) Degrees

Vladik Kreinovich, Hung T. Nguyen, Luc Longpre, 1998 .

On a Continuous Lattice Approach to Modeling of Coarse Data in System Analysis

Hung T. Nguyen, Hien D. Tran, H. Nguyen, 2007 .