Analysis of Fuzzy Soft Set Compositions for Allocating Jobs To Machines in Fuzzy Environment

Abstract

Real world situation often exist with high degree of uncertainty in decision making. In such situation, decision makers can use fuzzy soft set which is a mathematical tool for dealing with uncertainties and has rich potential for application in several directions. The aim of this paper is to calculate the uncertain degree of various parameters and to assign a particular job to a particular machine to get the desired optimization with the use of triangular fuzzy numbers. In the present study, four different cases for fuzzy soft set compositions are considered and compared to incorporate the uncertainty using fuzzy triangular numbers.

Authors and Affiliations

C. KAVITHA, T. S. FRANK GLADSON, C. M. ARUN KUMAR

Keywords

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  • EP ID EP279134
  • DOI 10.24247/ijmperdfeb201827
  • Views 102
  • Downloads 0

How To Cite

C. KAVITHA, T. S. FRANK GLADSON, C. M. ARUN KUMAR (2018). Analysis of Fuzzy Soft Set Compositions for Allocating Jobs To Machines in Fuzzy Environment. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ), 8(1), 229-242. https://europub.co.uk./articles/-A-279134