.png){kind=icon}
Return
Fuzzy linear programming under interval uncertainty based on IFS representation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.fss.2011.09.008.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
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.
Keywords:
Fuzzy linear programming
Interval uncertainty
Intuitionistic fuzzy sets
Intuitionistic fuzzy goals
S-shaped membership function
Journal
IF:
2.7
Papers:
7.6K
Citations:
1.5W
Organization
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveShareSaveShareSave
View more