Journal
FUZZY SETS AND SYSTEMS
Volume 160, Issue 18, Pages 2701-2713Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2009.02.022
Keywords
Decentralized bi-level programming; Multi-objective programming; Linear fractional programming; Goal programming; Fuzzy mathematical programming; Fuzzy goal programming
Ask authors/readers for more resources
This paper presents fuzzy goal programming (FGP) algorithm for solving decentralized bi-level multi-objective programming (DBL-MOP) problems with a single decision maker at the upper level and multiple decision makers at the lower level. A FGP algorithm for DBL-multi-objective linear programming (DBL-MOLP) problems is proposed. This algorithm is extended to solve bi-level multi-objective linear fractional programming (DBL-MOLFP) problems. In the proposed algorithm, the membership functions for the defined fuzzy goals of all objective functions at the two levels as well as the membership functions for vector of fuzzy goals of the decision variables controlled by ULDM are developed in the model formulation of the problem. Then FGP approach is used to achieve highest degree of each of the membership goals by minimizing their deviational variables and thereby obtaining the most satisfactory solution for all decision makers. Illustrative numerical examples are given to demonstrate the proposed algorithm. (C) 2009 Published by Elsevier B.V.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available