We introduce an approach to defuzzify a general fuzzy quantity, a general fuzzy number is approximated to its nearest symmetric trapezoidal fuzzy number. With the help of the above method, a fuzzy ...

Fuzzy set theory has been extensively employed in mathematical programming, especially in linear programming problems. As a generalization of fuzzy sets, a hesitant fuzzy set is a very useful tool in ...

Therefore, it provides a new way for sequencing of fuzzy numbers of interval value, which gets the common model of interval valued fuzzy linear programming problem, and then solves corresponding ...

Discover how statistical averaging methods solve fuzzy multi-objective linear programming problems, reducing risk in natural calamities. Compare our proposed method with Chandra Sen's for maximum risk ...

Uncertainty in the parameters of an optimization problem has a large impact on the outcome of the optimization results. Intuitionistic fuzzy chance constrained programming (IFCCP) is one technique ...

Estimation errors or uncertainities in expected return and risk measures create difficulties for portfolio optimization. The literature deals with the uncertainty using stochastic, fuzzy or ...