This paper presents a goal programming (GP) procedure for fuzzy multiobjective linear fractional programming (FMOLFP) problems. In the proposed approach, which is motivated by Mohamed (Fuzzy Sets and Systems 89 (1997) 215), GP model for achievement of the highest membership value of each of fuzzy g
A possibility programming approach for stochastic fuzzy multiobjective linear fractional programs
β Scribed by M.G. Iskander
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 462 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper, a suggested program with fuzzy linear fractional objectives and stochastic fuzzy constraints is considered. The fuzzy coefficients and scalars in the linear fractional objectives, and the left-hand side fuzzy coeffΓcients of the constraints can be either trapezoidal or triangular fuzzy numbers. The right-hand sides of the constraints are considered independent random variables with known distribution functions. A modified possibility programming approach, within the chance-constrained, is utilized to transform the suggested program to its equivalent deterministiccrisp multiobjective linear program, whether in the case of exceedance possibility or the case of strict exceedance possibility. A numerical example illustrates the proposed method.
π SIMILAR VOLUMES
This paper presents an application of fuzzy programming approach to the multi-objective stochastic linear programming problem. After converting the proposed stochastic programming problem into a deterministic problem (which may be linear or non-linear), fuzzy programming approach is applied to find
In this paper, a fuzzy multiobjective linear programming model is presented. Both the objective functions and the constraints are considered fuzzy. The coefficients of the decision variables in the objective functions and in the constraints, as well as the right-hand side of the constraints are assu