C. Servin

发表

How to explain the relation between different empirical Covid-19 self-isolation periods

V. Kreinovich, O. Kosheleva, C. Servin, 2020 .

A Simplified Explanation of What It Means to Assign a Finite Value to an Infinite Sum

V. Kreinovich, O. Kosheleva, J. A. M. Pérez, 2015 .

If Space-Time Is Discrete, We May Be Able to Solve NP-Hard Problems in Polynomial Time

Vladik Kreinovich, Christian Servin, Martine Ceberio, 2019 .

Model Fusion under Probabilistic and Interval Uncertainty, with Application to Earth Sciences

Vladik Kreinovich, Aaron A. Velasco, Christian Servin, 2010 .

In Fuzzy Decision Making, General Fuzzy Sets Can Be Replaced by Fuzzy Numbers

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2017 .

Intuitionistic Fuzzy Logic , Interval-Valued Fuzzy Logic , and Their Equivalence : A Brief Reminder

V. Kreinovich, C. Servin, 2016 .

How to Test Hypotheses when Exact Values are Replaced by Intervals to Protect Privacy: Case of t-tests

V. Kreinovich, C. Servin, 2015 .

Mexican Folk Arithmetic Algorithm Makes Perfect Sense

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2021, NAFIPS.

Amanda Jansen, Rough Draft Math: Revising to Learn, Stenhouse Publishers, Portsmouth, New Hampshire, 2020

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2020, J. Intell. Fuzzy Syst..

Towards efficient algorithms for approximating a fuzzy relation by fuzzy rules: Case when “and”-and “or”-operation are distributive

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2014, 2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW).

Fuzzy Analogues of Sets and Functions Can Be Uniquely Determined from the Corresponding Ordered Category: A Theorem

Vladik Kreinovich, Christian Servin, Gerardo Muela, 2018, Axioms.

Quantum computation techniques for gauging reliability of interval and fuzzy data

Vladik Kreinovich, Luc Longpré, Christian Servin, 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2014 .

How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies

Vladik Kreinovich, Martine Ceberio, Christian Servin, 2013, Time Series Analysis, Modeling and Applications.

A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula

Susan L. Epstein, Brett A. Becker, Amruth N. Kumar, 2023, ACM Inroads.

Maximum Entropy in Support of Semantically Annotated Datasets

Vladik Kreinovich, Christian Servin, Paulo Pinheiro, 2008, URSW.

Model Fusion under Probabilistic and Interval Uncertainty, with Application to Earth Sciences

Vladik Kreinovich, Omar Ochoa, Aaron A. Velasco, 2012 .

Towards a Fast, Practical Alternative to Joint Inversion of Multiple Datasets: Model Fusion

A. Velasco, C. Servin, Omar Ochoa, 2011 .

Cascade Vulnerability Problem Simulator Tool

Martine Ceberio, Christian Servin, M. Ceberio, 2008, MSV.

An Optimization Approach using Soft Constraints for the Cascade Vulnerability Problem

M. Ceberio, E. Freudenthal, S. Bistarelli, 2007, NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society.

Comparisons of Measurement Results as Constraints on Accuracies of Measuring Instruments: When Can We Determine the Accuracies from These Constraints?

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2018 .

How to Best Write Research Papers: Basic English? Sophisticated English?

V. Kreinovich, O. Kosheleva, M. Ceberio, 2023, Decision Making Under Uncertainty and Constraints.

Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2021, NAFIPS.

How to estimate relative spatial resolution of different maps or images of the same area?

Vladik Kreinovich, Christian Servin, Aaron Velasco, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Semi-heuristic target-based fuzzy decision procedures: Towards a new interval justification

Van-Nam Huynh, Y. Nakamori, C. Servin, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

Accuracy of Data Fusion: Interval (and Fuzzy) Case

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2020 .

What Teachers Can Learn from Machine Learning

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2021, NAFIPS.

Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2019, IUKM.

Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2018, NAFIPS.

No Idea Is a Bad Idea: A Theoretical Explanation

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2017 .

From Historically First “Unary” Numbers, Through Egyptian Fractions, Roman Numerals, Leibniz's Binary Numbers and Kepler's Fractions to Modern Ideas Such as Calkin-Wilf Tree: A Unified Approach to Representing Natural Numbers and Fractions

Shahnaz N. Shahbazova, V. Kreinovich, O. Kosheleva, 2022 .

Propagation and Provenance of Probabilistic and Interval Uncertainty in Cyberinfrastructure-Related Data Processing and Data Fusion

Vladik Kreinovich, Aaron A. Velasco, Christian Servin, 2007 .

How to estimate accuracy of different models: Non-gaussian case

Olga Kosheleva, Christian Servin, Aaron A. Velasco, 2016 .