A Study on Fuzzy Soft Set Theoretic Approach to Decision Making Problems in Real Life |
Author(s): |
| J Sruthi , SRI KRISHNA ARTS AND SCIENCE COLLEGE,COIMBATORE; D. Maheswari, SRIKRISHNA ARTS AND SCIENCE COLLEGE,COIMBATORE; B. Hindumathi, SRIKRISHNA ARTS AND SCIENCE COLLEGE,COIMBATORE; R. Srikirithiga, SRIKRISHNA ARTS AND SCIENCE COLLEGE,COIMBATORE; M. Marieswari, SRIKRISHNA ARTS AND SCIENCE COLLEGE,COIMBATORE |
Keywords: |
| Fuzzy-Soft-Set, Resultant-Fuzzy-Soft-Set, Comparison Table, Object Recognition |
Abstract |
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In recent years, the problem of right decision making has found paramount importance in our day-to-day life. The right decision making is highly essential in our daily life. But in most of the cases we become confused about the right solution. To obtain the best feasible solution of these problems we have to consider various parameters relating to the solution. For this we can use the best mathematical tool called Fuzzy soft set theory. The aim of this paper is to study the concept of fuzzy soft set theoretical approach in decision making problems and a novel method of object recognition from an imprecise multi observer data has also been presented here. The method involves construction of a comparison table from a resultant fuzzy soft set in a parametric sense for decision making. |
Other Details |
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Paper ID: IJSRDV5I120135 Published in: Volume : 5, Issue : 12 Publication Date: 01/03/2018 Page(s): 141-144 |
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