线性规划
模糊集运算
模糊集
模糊逻辑
一般化
模糊分类
数学优化
模糊数
数学
2型模糊集与系统
计算机科学
线性分式规划
模糊数学
人工智能
数学分析
作者
Mahdi Ranjbar,Sohrab Effati
标识
DOI:10.1109/tfuzz.2019.2902109
摘要
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 places where there are some hesitations in determining the membership of an element to a set. There are few studies on hesitant fuzzy linear programming problems; therefore, in this paper, we have studied such problems. For this purpose, at first, the motivation of this paper is explained; then, types of hesitant fuzzy linear programming models are introduced. Since it is not easy to examine all of the hesitant fuzzy models for the linear programming problems in one paper, we have restricted ourselves to symmetric and right-hand-side hesitant fuzzy linear programming problems with the flexible approach and then proposed two new approaches to solve them. Finally, to illustrate the applicability of the proposed approaches, three examples under hesitant fuzzy information are given.
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