Fuzzy and stochastic programming
Fuzzy Sets and Systems - Special Double issue Fuzzy Set Theory in the USSR
The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
Single value simulation of fuzzy variables
Fuzzy Sets and Systems
A subjective approach for ranking fuzzy numbers
Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Ranking fuzzy interval numbers in the setting of random sets
Information Sciences: an International Journal
Linear programming with fuzzy random variable coefficients
Fuzzy Sets and Systems
On fuzzy random linear programming
Fuzzy Sets and Systems
Fuzziness and randomness in an optimization framework
Fuzzy Sets and Systems
On fuzzy stochastic optimization
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Ranking and defuzzification methods based on area compensation
Fuzzy Sets and Systems
Ranking fuzzy interval numbers in the setting of random sets — further results
Information Sciences: an International Journal
Fuzzy Sets and Systems - Fuzzy mathematical programming
Set defuzzification and choquet integral
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
On Possibilistic/Fuzzy Optimization
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Unifying practical uncertainty representations. II: Clouds
International Journal of Approximate Reasoning
On the variability of the concept of variance for fuzzy random variables
IEEE Transactions on Fuzzy Systems
An extension of stochastic dominance to fuzzy random variables
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Upper and lower probabilities induced by a fuzzy random variable
Fuzzy Sets and Systems
Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets
Automatica (Journal of IFAC)
A class of multiobjective linear programming model with fuzzy random coefficients
Mathematical and Computer Modelling: An International Journal
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We consider fuzzy stochastic programming problems with a crisp objective function and linear constraints whose coefficients are fuzzy random variables, in particular of type L-R. To solve this type of problems, we formulate deterministic counterparts of chance-constrained programming with fuzzy stochastic coefficients, by combining constraints on probability of satisfying constraints, as well as their possibility and necessity. We discuss the possible indices for comparing fuzzy quantities by putting together interval orders and statistical preference. We study the convexity of the set of feasible solutions under various assumptions. We also consider the case where fuzzy intervals are viewed as consonant random intervals. The particular cases of type L-R fuzzy Gaussian and discrete random variables are detailed.