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Fuzzy linear programming under interval uncertainty based on IFS representation
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DOI：10.1016/j.fss.2011.09.008.png)
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摘要
En 中文
The equivalence between the interval-valued fuzzy set (IVFS) and the intuitionistic fuzzy set (IFS) is exploited to study linear programming problems involving interval uncertainty modeled using IFS. The non-membership of IFS is constructed with three different viewpoints viz., optimistic, pessimistic, and mixed. These constructions along with their indeterminacy factors result in S-shaped membership functions in the fuzzy counterparts of the intuitionistic fuzzy linear programming models. The solution methodology of Yang et al. [45], and its subsequent generalization by Lin and Chen [33] are used to compute the optimal solutions of the three fuzzy linear programming models. (C) 2011 Elsevier B.V. All rights reserved.
Keyword:
Fuzzy linear programming
Interval uncertainty
Intuitionistic fuzzy sets
Intuitionistic fuzzy goals
S-shaped membership function
期刊
IF:
2.7
论文数:
7.6K
被引数:
1.5W