Dynamic hesitant fuzzy Bayesian network and its application in the optimal investment port decision making problem of “twenty-first century maritime silk road”

[1]  Zeshui Xu,et al.  An improved structure learning algorithm of Bayesian Network based on the hesitant fuzzy information flow , 2019, Appl. Soft Comput..

[2]  Liguo Fei,et al.  Multi-criteria decision making in Pythagorean fuzzy environment , 2019, Applied Intelligence.

[3]  Zhongzhen Yang,et al.  Investment in container ports along the Maritime Silk Road in the context of international industry transfer: the case of the port of Colombo , 2019 .

[4]  F. Qiao,et al.  China published ocean forecasting system for the 21st-Century Maritime Silk Road on December 10, 2018 , 2019, Acta Oceanologica Sinica.

[5]  Zeshui Xu,et al.  A Dynamic Weight Determination Approach Based on the Intuitionistic Fuzzy Bayesian Network and Its Application to Emergency Decision Making , 2018, IEEE Transactions on Fuzzy Systems.

[6]  Chenqing Fan,et al.  Analysis of Dynamic Characteristics of the 21st Century Maritime Silk Road , 2018, Journal of Ocean University of China.

[7]  Yongbin Liu,et al.  Ensemble method to joint inference for knowledge extraction , 2017, Expert Syst. Appl..

[8]  Youping Xu,et al.  The analysis of gales over the “Maritime Silk Road” with remote sensing data , 2017, Acta Oceanologica Sinica.

[9]  David Maxwell Chickering,et al.  Learning Bayesian Networks is NP-Complete , 2016, AISTATS.

[10]  Jun Liu,et al.  Hesitant Cloud Model and Its Application in the Risk Assessment of “The Twenty-First Century Maritime Silk Road” , 2016 .

[11]  Anders L. Madsen,et al.  Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams , 2016, Int. J. Approx. Reason..

[12]  Zhang Dayong,et al.  Strengthening the Rise of the 21st-Century Maritime Silk Road Strategic Pivot , 2016 .

[13]  Chen Mingbao,et al.  Driving Factors, Areas of Cooperation and Mechanisms for International Cooperation in the Blue Economy of the 21st-Century Maritime Silk Road , 2016 .

[14]  Mohd Aminul Karim China's Proposed Maritime Silk Road: Challenges and Opportunities with Special Reference to the Bay of Bengal Region , 2015 .

[15]  Zeshui Xu,et al.  Novel correlation coefficients between hesitant fuzzy sets and their application in decision making , 2015, Knowl. Based Syst..

[16]  Christopher Len,et al.  China's 21st Century Maritime Silk Road Initiative, Energy Security and SLOC Access , 2015 .

[17]  C. Dolder,et al.  A brief history of the modeling of sound propagation in bubbly liquids , 2014 .

[18]  Hui Yang,et al.  Continuous flow modelling of multistage assembly line system dynamics , 2013, Int. J. Comput. Integr. Manuf..

[19]  Wei Sun,et al.  Combining local search into non-dominated sorting for multi-objective line-cell conversion problem , 2013, Int. J. Comput. Integr. Manuf..

[20]  Na Chen,et al.  Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis , 2013 .

[21]  Shigeo Abe DrEng Pattern Classification , 2012, Springer London.

[22]  Jianmin Jiang,et al.  DBN-based structural learning and optimisation for automated handwritten character recognition , 2012, Pattern Recognit. Lett..

[23]  Jin Wang,et al.  Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach , 2012, Expert Syst. Appl..

[24]  C. Bielza,et al.  Multi-dimensional classification with Bayesian networks , 2011, Int. J. Approx. Reason..

[25]  Zeshui Xu,et al.  Hesitant fuzzy information aggregation in decision making , 2011, Int. J. Approx. Reason..

[26]  V. Torra,et al.  A framework for linguistic logic programming , 2010 .

[27]  Brian C. O'Meara,et al.  New Heuristic Methods for Joint Species Delimitation and Species Tree Inference , 2009, Systematic biology.

[28]  Vicenç Torra,et al.  On hesitant fuzzy sets and decision , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[29]  R. Muir-Wood,et al.  Assessing climate change impacts, sea level rise and storm surge risk in port cities: a case study on Copenhagen , 2008 .

[30]  Geoffrey R Hosack,et al.  Assessing model structure uncertainty through an analysis of system feedback and Bayesian networks. , 2008, Ecological applications : a publication of the Ecological Society of America.

[31]  Mahdieh Allahviranloo,et al.  Investment optimization on port's development by fuzzy integer programming , 2008, Eur. J. Oper. Res..

[32]  A. G. Eleye-Datubo,et al.  Marine and Offshore Safety Assessment by Incorporative Risk Modeling in a Fuzzy‐Bayesian Network of an Induced Mass Assignment Paradigm , 2008, Risk analysis : an official publication of the Society for Risk Analysis.

[33]  Chien-Chang Chou,et al.  A fuzzy MCDM method for solving marine transshipment container port selection problems , 2007, Appl. Math. Comput..

[34]  Brian J. Ross,et al.  Evolving dynamic Bayesian networks with Multi-objective genetic algorithms , 2007, Applied Intelligence.

[35]  A. Bulpitt,et al.  Insights into protein-protein interfaces using a Bayesian network prediction method. , 2006, Journal of molecular biology.

[36]  A. Raftery,et al.  Using Bayesian Model Averaging to Calibrate Forecast Ensembles , 2005 .

[37]  Mark E. Borsuk,et al.  A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis , 2004 .

[38]  Jian Cheng,et al.  AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks , 2000, J. Artif. Intell. Res..

[39]  Nir Friedman,et al.  Bayesian Network Classifiers , 1997, Machine Learning.

[40]  L. Zadeh Fuzzy sets , 1996 .

[41]  C. Elkan,et al.  Unsupervised learning of multiple motifs in biopolymers using expectation maximization , 1995, Machine Learning.

[42]  Adnan Masood Probabilistic reasoning in intelligent systems: Networks of plausible inference , 1991 .

[43]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[44]  L. Zadeh Probability measures of Fuzzy events , 1968 .

[45]  W. Sharpe CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* , 1964 .

[46]  Maomi Ueno,et al.  Advanced Methodologies for Bayesian Networks , 2015, Lecture Notes in Computer Science.

[47]  Yi Hu,et al.  Effects of early and late reflections on intelligibility of reverberated speech by cochlear implant listeners. , 2014, The Journal of the Acoustical Society of America.

[48]  Emilia Mendes,et al.  Introduction to Bayesian Networks , 2014 .

[49]  Claudio Ferrari,et al.  Port Investment: Profitability, Economic Impact and Financing , 2006 .

[50]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[51]  Pierre Le Gall,et al.  The queue-length in GI/G/s queues , 2000 .

[52]  J. Pearl Probabilistic reasoning in intelligent systems - networks of plausible inference , 1989, Morgan Kaufmann series in representation and reasoning.

[53]  David G. Stork,et al.  Pattern Classification , 1973 .

[54]  L. Zadeh Fuzzy Sets , 1965, Inf. Control..