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Title of article :
On Solving Fully Fuzzy Multi-criteria De Novo Programming via Fuzzy Goal Programming Approach
Author/Authors :
Abdelwahed Khalifa, Hamiden Operations Research Department - Institute of Statistical Studies and Research - Cairo University, Giza, Egypt
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Abstract :
In this paper, a Multi-criteria De Novo Linear Programming (F- MDNLP) problem has been developed under consideration of the ambiguity of parameters. These fuzzy parameters are characterized by fuzzy numbers. A fuzzy goal programming approach is applied for the corresponding multi-criteria De Novo linear programming ( a MDNLP) problem by defining suitable membership functions and aspiration levels. The advantage of the approach is that the decision maker's role is only the specification of the level a and hence evaluate the a efficient solution for limitation of his/ her incomplete knowledge about the problem domain. A numerical example is given for illustration.
Keywords :
Multi-criteria De Novo Programming , Fuzzy Numbers , α-efficient Solution , Linear Membership Function , Fuzzy Goal Programming , a optimal Compromise Solution
Journal title :
Astroparticle Physics
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