A Particle Swarm Optimization based Algorithm for Fuzzy Bilevel Decision Making with Objective-shared Followers

Publication Type:
Conference Proceeding
Simulated Evolution and Learning, 2008, pp. 190 - 199
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2008000016OK.pdf3.89 MB
Adobe PDF
A bilevel decision problem may have multiple followers as the lower decision units and have fuzzy demands simultaneously. This paper focuses on problems of fuzzy linear bilevel decision making with multiple followers who share a common objective but have different constraints (FBOSF). Based on the ranking relationship among fuzzy sets defined by cut set and satisfactory degree, a FBOSF model is presented and a particle swarm optimization based algorithm is developed.
Please use this identifier to cite or link to this item: