Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem

Citation
M. Inuiguchi et J. Ramik, Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem, FUZ SET SYS, 111(1), 2000, pp. 3-28
Citations number
110
Categorie Soggetti
Engineering Mathematics
Journal title
FUZZY SETS AND SYSTEMS
ISSN journal
01650114 → ACNP
Volume
111
Issue
1
Year of publication
2000
Pages
3 - 28
Database
ISI
SICI code
0165-0114(20000401)111:1<3:PLPABR>2.0.ZU;2-V
Abstract
In this paper, we review some fuzzy linear programming methods and techniqu es from a practical point of view. In the first part, the general history a nd the approach of fuzzy mathematical programming are introduced. Using a n umerical example, some models of fuzzy linear programming are described. In the second part of the paper, fuzzy mathematical programming approaches ar e compared to stochastic programming ones. The advantages and disadvantages of fuzzy mathematical programming approaches are exemplified in the settin g of an optimal portfolio selection problem. Finally, some newly developed ideas and techniques in fuzzy mathematical programming are briefly reviewed . (C) 2000 Elsevier Science B.V. All rights reserved.