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A Simple Method for Solving Fully Intuitionistic Fuzzy Real Life Assignment Problem

A Simple Method for Solving Fully Intuitionistic Fuzzy Real Life Assignment Problem

P. Senthil Kumar, R. Jahir Hussain
Copyright: © 2016 |Volume: 7 |Issue: 2 |Pages: 23
ISSN: 1947-9328|EISSN: 1947-9336|EISBN13: 9781466691292|DOI: 10.4018/IJORIS.2016040103
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MLA

Kumar, P. Senthil, and R. Jahir Hussain. "A Simple Method for Solving Fully Intuitionistic Fuzzy Real Life Assignment Problem." IJORIS vol.7, no.2 2016: pp.39-61. http://doi.org/10.4018/IJORIS.2016040103

APA

Kumar, P. S. & Hussain, R. J. (2016). A Simple Method for Solving Fully Intuitionistic Fuzzy Real Life Assignment Problem. International Journal of Operations Research and Information Systems (IJORIS), 7(2), 39-61. http://doi.org/10.4018/IJORIS.2016040103

Chicago

Kumar, P. Senthil, and R. Jahir Hussain. "A Simple Method for Solving Fully Intuitionistic Fuzzy Real Life Assignment Problem," International Journal of Operations Research and Information Systems (IJORIS) 7, no.2: 39-61. http://doi.org/10.4018/IJORIS.2016040103

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Abstract

In solving real life assignment problem we often face the state of uncertainty as well as hesitation due to various uncontrollable factors. To deal with uncertainty and hesitation many authors have suggested the intuitionistic fuzzy representations for the data. So, in this paper, the authors consider the assignment problem having uncertainty and hesitation in cost/time/profit. They formulate the problem and utilize triangular intuitionistic fuzzy numbers (TIFNs) to deal with uncertainty and hesitation. The authors propose a new method called PSK (P.Senthil Kumar) method for finding the intuitionistic fuzzy optimal cost/time/profit for fully intuitionistic fuzzy assignment problem (FIFAP). The proposed method gives the optimal object value in terms of TIFN. The main advantage of this method is computationally very simple, easy to understand. Finally the effectiveness of the proposed method is illustrated by means of a numerical example which is followed by graphical representation of the finding.

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