Open AccessDecision Makers Prference Solution for A Fuzzy Multi Objective Assignment Problem
Author(s) -
B. Divya,
K. Ganesan
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1377/1/012049
Subject(s) - fuzzy number , mathematical optimization , fuzzy set operations , fuzzy logic , decision maker , flexibility (engineering) , mathematics , fuzzy transportation , fuzzy classification , ranking (information retrieval) , parametric statistics , defuzzification , assignment problem , computer science , fuzzy set , artificial intelligence , operations research , statistics
In this paper we propose a novel approach for the solution of fuzzy multi objective assignment problem whose parameters are expressed as triangular fuzzy numbers. We apply arithmetic operations and ranking in the parametric form of triangular fuzzy numbers to solve fuzzy multi objective assignment problem without converting to classical form. The proposed method gives flexibility to the decision maker to his/her preferred fuzzy optimal solution. A numerical example is also given based on this novel method.