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Article type: Research Article
Authors: Veeramani, C.a; * | Sumathi, M.b
Affiliations: [a] Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore, India | [b] Department of Mathematics, PSG College of Technology, Coimbatore, India
Correspondence: [*] Corresponding author. C. Veeramani, Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore 641004, India. Tel.: +91 9952539657; Fax: +0422 2573833; E-mail: [email protected].
Abstract: Fuzzy Linear Fractional Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc. In this paper, a new algorithm is developed to solve the Fuzzy Linear Fractional programming Problem (FLFPP) where the cost of the objective function, the resources and the technological coefficients are triangular fuzzy numbers. For this, the FLFPP is transformed into an equivalent deterministic Multi Objective Linear Fractional Programming Problem (MOLFPP) and solved them each objective function. From the obtained solutions, we define an imprecise and aspiration level for each objectives. Hence, the objectives are transformed as fuzzy goal. Then the goal programming approach is used to achieve the highest degree of each of the membership goals by minimizing their deviational variables. Finally, two real examples and one case study problem will be used to illustrate our algorithm and compare it with the existing method.
Keywords: Triangular fuzzy number, linear programming problem, multi objective linear programming problem, goal programming
DOI: 10.3233/JIFS-15712
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1831-1843, 2016
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