A Solving Method for Fuzzy Linear Programming Problem with Interval Type-2 Fuzzy Numbers

被引：0
|
作者：
Moslem Javanmard
Hassan Mishmast Nehi
机构：
[1] University of Sistan and Baluchestan,Mathematics Department
来源：
International Journal of Fuzzy Systems | 2019年 / 21卷
关键词：
Best–worst cases (BWC); Fuzzy linear programming (FLP); Interval linear programming (ILP); Interval type-2 fuzzy number (IT2FN); Membership function (MF);
D O I：
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中图分类号：
学科分类号：
摘要：
Thus far, many methods have been suggested to solve the fuzzy linear programming (FLP) problems with interval type-2 fuzzy numbers (IT2FNs) ambiguous of kind Vagueness (uncertainty at the satisfaction level of the objective function and constraints), while studies on models of the interval type-2 FLP problems with uncertainty of kind Ambiguity in which all or part of the parameters are ambiguous (all or part of the coefficients in FLP problem are IT2FNs) are very limited. In this paper, first, an interval type-2 FLP problem with uncertainty of kind Ambiguity was considered generally and all the coefficients in the problem were interval type-2 triangular fuzzy numbers. Next, a method for solving it based on the nearest interval approximation was proposed. Finally, the method was illustrated using some numerical examples.
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页码：882 / 891
页数：9
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