Fuzzy Programming Approach to Solve Multi-Objective Fully Fuzzy Transportation Problem

The aim of this study is presenting the solution methodology of multi-objective fuzzy transportation problem with fuzzy decision variables, where all the input parameters and decisions variables of the programming problems are assumed to be triangular fuzzy number and triangular fuzzy decision varia...

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Vydané v:East African Journal of Biophysical and Computational Sciences Ročník 4; číslo 2; s. 43 - 53
Hlavní autori: Admasu Tadesse, Sirkumar Acharya, Berhanu Belay
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hawassa University 15.12.2023
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ISSN:2789-360X, 2789-3618
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Shrnutí:The aim of this study is presenting the solution methodology of multi-objective fuzzy transportation problem with fuzzy decision variables, where all the input parameters and decisions variables of the programming problems are assumed to be triangular fuzzy number and triangular fuzzy decision variables respectively. Moreover the objectives under considerations are minimization of cost of transportation and minimization of shipping time under fuzzy environment. The fuzziness of the objective functions and the fuzzy constraints of the programming problem are defuzzified using the ranking function and the equality property between two fuzzy numbers, respectively. The consequent crisp multi-objective fuzzy transportation problem is tackled by employing fuzzy mathematical programming approach. Finally fuzzy decision is made after solving the resultant mathematical programming problem using LINGO(Schrage and LINDO Systems (1997)) software. Illustrative numerical example is presented in support of the proposed methodology.
ISSN:2789-360X
2789-3618
DOI:10.4314/eajbcs.v4i2.4S