Solving Multi-Objective Mathematical Programming Problems in Fuzzy Approach


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Authors

  • C. Loganathan Department of Mathematics, Maharaja Arts and Science College, Coimbatore, Tamilnadu, India
  • M. Lalitha Department of Mathematics, Kongu Arts & Science College, Erode, Tamilnadu, India

Keywords:

Fuzzy nonlinear programming, Triangular fuzzy number, optimal solution, multi objective, $\alpha $-cut, Fuzzy number, Fuzzy set theory

Abstract

In this paper we compare the solution of multi objective nonlinear programming problem with this solution obtained in Zimmermann's method. Zimmermann used membership function to solve the multi objective nonlinear programming problems. We have used $\alpha $-cut to solve the multi objective nonlinear programming problems.

 

Author Biographies

C. Loganathan, Department of Mathematics, Maharaja Arts and Science College, Coimbatore, Tamilnadu, India

 

 

M. Lalitha, Department of Mathematics, Kongu Arts & Science College, Erode, Tamilnadu, India

 

 

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Published

15-03-2018

How to Cite

C. Loganathan, & M. Lalitha. (2018). Solving Multi-Objective Mathematical Programming Problems in Fuzzy Approach. International Journal of Mathematics And Its Applications, 6(1 - E), 997–1004. Retrieved from http://ijmaa.in/index.php/ijmaa/article/view/1173

Issue

Vol. 6 No. 1 - E (2018)

Section

Research Article

License

Copyright (c) 2023 International Journal of Mathematics And its Applications

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