Fuzzy Random Dependent-Chance Bilevel Programming with Applications
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Fuzzy Optimization Problems with Critical Value-at-Risk Criteria
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Class of Random Fuzzy Programming and Its Hybrid PSO Algorithm
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Particle Swarm Optimization for Two-Stage FLA Problem with Fuzzy Random Demands
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Maximum entropy membership functions for discrete fuzzy variables
Information Sciences: an International Journal
Computers & Mathematics with Applications
Credibility measure of fuzzy sets and applications
International Journal of Advanced Intelligence Paradigms
The Bounds on the Rate of Uniform Convergence of Learning Process on Uncertainty Space
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
The Key Theorem of Learning Theory on Uncertainty Space
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Modelling redundancy allocation for a fuzzy random parallel-series system
Journal of Computational and Applied Mathematics
Optimal run lengths in deteriorating production processes in random fuzzy environments
Computers and Industrial Engineering
A review of credibilistic portfolio selection
Fuzzy Optimization and Decision Making
Discrete time credibilistic processes: Construction and convergences
Information Sciences: an International Journal
Train timetable problem on a single-line railway with fuzzy passenger demand
IEEE Transactions on Fuzzy Systems
An application of investment decision with random fuzzy outcomes
Expert Systems with Applications: An International Journal
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
Modeling data envelopment analysis by chance method in hybrid uncertain environments
Mathematics and Computers in Simulation
Maximum cut in fuzzy nature: Models and algorithms
Journal of Computational and Applied Mathematics
Portfolio adjusting optimization under credibility measures
Journal of Computational and Applied Mathematics
Existence and uniqueness theorem for uncertain differential equations
Fuzzy Optimization and Decision Making
Fuzzy expected value model for data envelopment analysis
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Ranking fuzzy variables by expected value and variance
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Some inequalities on credibility measure
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Fuzzy optimal control of linear quadratic models
Computers & Mathematics with Applications
Stability analysis of fuzzy linear differential equations
Fuzzy Optimization and Decision Making
Two-stage fuzzy stochastic programming with Value-at-Risk criteria
Applied Soft Computing
Recourse-based facility-location problems in hybrid uncertain environment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
The subtle sets theory (SST) to the modeling socio-economic space
AMERICAN-MATH'10 Proceedings of the 2010 American conference on Applied mathematics
Deterministic, uncertainty and stochastic models of Kaldor-Kalecki model of business cycles
WSEAS Transactions on Mathematics
Extended tabu search on fuzzy traveling salesman problem in multi-criteria analysis
AAIM'10 Proceedings of the 6th international conference on Algorithmic aspects in information and management
A fuzzy control system with application to production planning problems
Information Sciences: an International Journal
Entropy maximization model for the trip distribution problem with fuzzy and random parameters
Journal of Computational and Applied Mathematics
Some discussions on uncertain measure
Fuzzy Optimization and Decision Making
Mean-risk model for uncertain portfolio selection
Fuzzy Optimization and Decision Making
Sensitivity and stability analysis in fuzzy data envelopment analysis
Fuzzy Optimization and Decision Making
Shortest path problem with uncertain arc lengths
Computers & Mathematics with Applications
Minimum risk criterion for uncertain production planning problems
Computers and Industrial Engineering
Mean-risk model for hybrid portfolio selection with fuzziness and randomness
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Models and algorithm of maximum flow problem in uncertain network
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Inequalities and mathematical properties of uncertain variables
Fuzzy Optimization and Decision Making
Optimal multinational capital budgeting under uncertainty
Computers & Mathematics with Applications
Semivariance criteria for quantifying the choice among uncertain outcomes
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
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Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility theory, and chance theory. For this new edition the entire text has been totally rewritten. More importantly, the chapters on chance theory and uncertainty theory are completely new. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference.