作者: Mahmoud A. Abo-Sinna , Ibrahim A. Baky
DOI: 10.1155/2010/148975
关键词: Fuzzy classification 、 Mathematics 、 Membership function 、 Defuzzification 、 Mathematical optimization 、 Fuzzy logic 、 Linear-fractional programming 、 Variable (computer science) 、 Fuzzy number 、 Goal programming
摘要: This paper presents a fuzzy goal programming FGP procedure for solving bilevel multiobjective linear fractional BL-MOLFP problems. It makes an extension work of Moitra and Pal 2002 and et al. 2003. In the proposed procedure, membership functions for the defined goals decision makers DMs objective at both levels as well as vector variables controlled by first-level maker are developed first in model formulation problem. Then a fuzzy to minimize group regret degree satisfactions both the is achieve highest unity each defined membership function extent possible by minimizing their deviational and thereby obtaining most satisfactory solution makers. The method variable change on under- over-deviational associated with the introduced solve problem efficiently using linear goal programming LGP methodology. Illustrative numerical example given demonstrate the procedure.