Fuzzy multi objective optimization: With reference to multi objective transportation problem

Authors

  • A J Khan Department of Mathematics, School of Engineering and I T, MATS University, Raipur (C.G.), India.
  • D K Das Department of Mathematics, CCET, Bhilai (C.G.), India.

Keywords:

Transportation problem (TP), Multi-objective transportation problem (MOTP), Fuzzy multi objective optimization (FMOO), Artificial Intelligence (AI), Fuzzy linear programming. MSC, 90C08

Abstract

In this paper we present a review of the connection between modern era techniques & fuzzy multi objective optimization (FMOO) to deal with its shortcoming and FMOO used in transportation problem. Multi objective optimization represents an interest area of research since most real life problem have a set of conflict objectives. MOO has its root in late nineteenth century welfare economics, in the works of Edge worth & Pareto. But due to some shortcoming faces, researchers attract to FMOO and they use modern era technique like artificial intelligence. Finally we develop a fuzzy linear programming method for solving the transportation problem with fuzzy goals, available supply & forecast demand and showing a frame for fuzzy multi objective transportation problem (FMOTP) solution.            

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Author Biographies

A J Khan, Department of Mathematics, School of Engineering and I T, MATS University, Raipur (C.G.), India.

Department of Mathematics, School of Engineering and I T, MATS University, Raipur (C.G.), India.

D K Das, Department of Mathematics, CCET, Bhilai (C.G.), India.

Department of Mathematics, CCET, Bhilai (C.G.), India.

Published

01-11-2014

How to Cite

Khan, A. J., & Das, D. K. (2014). Fuzzy multi objective optimization: With reference to multi objective transportation problem. Recent Research in Science and Technology, 6(1). Retrieved from https://updatepublishing.com/journal/index.php/rrst/article/view/1215

Issue

Volume 6, Issue 1 (2014)

Section

Articles