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