A FUZZY SATISFICING METHOD FOR LARGE-SCALE MULTIOBJECTIVE LINEAR-PROGRAMMING PROBLEMS WITH BLOCK ANGULAR STRUCTURE

Citation
M. Sakawa et al., A FUZZY SATISFICING METHOD FOR LARGE-SCALE MULTIOBJECTIVE LINEAR-PROGRAMMING PROBLEMS WITH BLOCK ANGULAR STRUCTURE, Fuzzy sets and systems, 78(3), 1996, pp. 279-288
Citations number
11
Categorie Soggetti
Computer Sciences, Special Topics","System Science",Mathematics,"Statistic & Probability",Mathematics,"Computer Science Theory & Methods
Journal title
ISSN journal
01650114
Volume
78
Issue
3
Year of publication
1996
Pages
279 - 288
Database
ISI
SICI code
0165-0114(1996)78:3<279:AFSMFL>2.0.ZU;2-K
Abstract
In this paper, we focus on large-scale multiobjective linear programmi ng problems with the block angular structure. By considering the impre cise nature of human judgements, we assume that the decision maker may have a fuzzy goal for each of the objective functions. Having elicite d the corresponding linear membership functions through the interactio n with the decision maker, we adopt the fuzzy decision for aggregating them. Then it is shown that the formulated problem can be reduced to one master problem and a number of linear subproblems and the satisfic ing solution for the decision maker can be obtained by directly applyi ng the Dantzig-Wolfe decomposition method.