A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers

Authors:
Ya Gao;Guangquan Zhang;Jie Lu
Affiliations:
Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia NSW 2007;Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia NSW 2007;Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia NSW 2007
Venue:
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Year:
2008

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Abstract

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.