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Issue title: Hybrid approaches for approximate reasoning
Article type: Research Article
Authors: Vinotha, J. Merline | Ritha, W. | Abraham, Ajith;
Affiliations: Department of Mathematics, Holy Cross College (Autonomous), Trichy, India | Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence (SNIRE), WA, USA | IT For Innovations, Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava, Ostrava, Czech Republic
Note: [] Corresponding author. Ajith Abraham, IT For Innovations, Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava, Ostrava, Czech Republic. E-mail: [email protected]
Abstract: This paper proposes a procedure for solving total time minimization in fuzzy transportation problem where the transportation time, source and destination parameters have been expressed as exponential fuzzy numbers by the decision maker. An algorithm is developed to obtain the optimal solution as exponential fuzzy number, which enables the decision maker to obtain more informing results and wider knowledge on the problem under consideration. A numerical example is solved to check the validity of the proposed procedure.
Keywords: Total time minimization, Fuzzy transportation problem, Fuzzy number, Exponential membership function, Graded mean integration representation
DOI: 10.3233/IFS-2012-0498
Journal: Journal of Intelligent & Fuzzy Systems, vol. 23, no. 2-3, pp. 93-99, 2012
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