Generalization of "DKN Fuzzy Simpleks" application program

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S. Rosyid, Karyati, Emut, A.M. Abadi

2022 AIP Conference Proceedings Vol. 2575 Conference paper Cited by 0 Quartile

Abstract

Generalization of "DKN Fuzzy Simpleks"application program was developed to solve trapezoidal fuzzy linear program (FLP) with an objective function to maximize. The method used in this application is fuzzy simplex. The research stage begins by examining the classical simplex method and fuzzy simplex. Both methods are adopted to arrange the algorithm of generalized fuzzy simplex that used to solve trapezoidal FLP with maximum unstandard case. Then the algorithm implemented in computer program with MATLAB based. The result obtain from this research is the algorithm of generalized fuzzy simplex can solve a maximum unstandard case of trapezoidal FLP. The algorithm can be used to computer program so that it could make new application, which is "Big M Fuzzy Simplex"as generalization of the application for DKN Fuzzy Simpleks. © 2022 Author(s).

Affiliations

Department of Mathematics Education, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia