Weakly fuzzy efficient conditions for multiobjective fractional programming problem

Authors:
Pitam Singh
Affiliations:
Department of Mathematics, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2014

Citing 6
Cited 0

Optimality and duality with generalized convexity

Journal of Optimization Theory and Applications
Invex functions and generalized convexity in multiobjective programming

Journal of Optimization Theory and Applications
Fuzzy mathematical programming for multi objective linear fractional programming problem

Fuzzy Sets and Systems - Theme: Decision and optimization
Generalized Invexity and Duality in Multiobjective Programming Problems

Journal of Global Optimization
Optimality conditions and duality for a class of nondifferentiable multi-objective fractional programming problems

Journal of Global Optimization
On stability of proper efficient solutions in multiobjective fractional programming problems under fuzziness

Mathematical and Computer Modelling: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is the purpose of this article to establish some weakly fuzzy efficient conditions for multiobjective linear fractional programming problem MOFP under generalized convexity. Osuna et al., [27] derived some results regarding the optimality and duality properties for multiobjective fractional programming in classical sense. In this article, an equivalent fuzzy multiobjective fractional programming problem is formulated by using fuzzy goal and tolerance limits for each objective functions. Some weakly efficient criteria for MOFP are established with fuzzy membership functions parallel to Osuna et al., [27].