Multiple objective linear fractional programming: a fuzzy set theoretic approach
Fuzzy Sets and Systems
Pareto optimality for multiobjective linear fractional programming problems with fuzzy parameters
Information Sciences: an International Journal
Fuzzy Sets and Systems - Special issue on soft decision analysis
Interactive fuzzy programming for two-level linear fractional programming problems
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy mathematical programming for multi objective linear fractional programming problem
Fuzzy Sets and Systems - Theme: Decision and optimization
On a fuzzy set approach to solving multiple objective linear fractional programming problem
Fuzzy Sets and Systems - Optimisation and decision
A possibility programming approach for stochastic fuzzy multiobjective linear fractional programs
Computers & Mathematics with Applications
Interior efficient solutions in bicriterion linear fractional programming-A geometric approach
Mathematical and Computer Modelling: An International Journal
Taylor series approach to fuzzy multiobjective linear fractional programming
Information Sciences: an International Journal
A fractional-order differential equation model of HIV infection of CD4+ T-cells
Mathematical and Computer Modelling: An International Journal
Weakly fuzzy efficient conditions for multiobjective fractional programming problem
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper a solution algorithm to fuzzy multiobjective fractional programming problems is suggested. These problems involve fuzzy parameters usually in the right-hand side of the constraints. In order to defuzzify the problem the concept of @a-level set of a fuzzy number is given. For obtaining proper efficient solutions, Geoffrion results are extended to fuzzy multiobjective fractional programming problems. In addition, some stability notions are defined and characterized for the problem of concern. Illustrative numerical examples are presented to clarify the theory and the solution algorithm.