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Dr. Mohamed Aly Elsayed Fahim :: Publications:

Title:
Stability of Parametric Intuitionistic Fuzzy Multi-Objective Fractional Transportation Problem.
Authors: 7. M. A. El Sayed, M. A. El-Shorbagy, F. A. Farahat, A. F. Fareed, M. A. Elsisy
Year: 2021
Keywords: multi-objective programming; fractional transportation problem; intuitionistic fuzzy set; parametric programming
Journal: fractal and fractional
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Mdpi
Local/International: International
Paper Link:
Full paper Mohamed Aly Elsayed Fahim_fractalfract-05-00233.pdf
Supplementary materials Not Available
Abstract:

In this study, a parametric intuitionistic fuzzy multi-objective fractional transportation problem (PIF-MOFTP) is proposed. The current PIF-MOFTP has a single-scalar parameter in the objective functions and an intuitionistic fuzzy supply and demand. Based on the (α,β)-cut concept a parametric (α,β)-MOFTP is established. Then, a fuzzy goal programming (FGP) approach is utilized to obtain (α,β)-Pareto optimal solution. We investigated the stability set of the first kind (SSFK) corresponding to the solution by extending the Kuhn-Tucker optimality conditions of multi-objective programming problems. An algorithm to crystalize the progressing SSFK for PIF-MOFTP as well as an illustrative numerical example is presented

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