An Approach For Solving Fuzzyassignment Problem Using Branch Andbound Technique | Zendy

S. Mohanaselvi | Zendy; V. Jayashree | Zendy

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An Approach For Solving Fuzzyassignment Problem Using Branch Andbound Technique

Author(s) -

S. Mohanaselvi,

V. Jayashree

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 - 10.1088/1742-6596/1377/1/012041

Subject(s) - mathematical optimization , fuzzy number , fuzzy set operations , fuzzy logic , fuzzy transportation , assignment problem , mathematics , parametric statistics , ranking (information retrieval) , defuzzification , fuzzy classification , generalized assignment problem , computer science , weapon target assignment problem , fuzzy set , artificial intelligence , statistics

This paper aims to obtain a minimum fuzzy assignment cost for a fuzzy assignment problem by using fuzzy branch and bound technique. Without transforming the fuzzy assignment problem into a corresponding crisp assignment problem a solution procedure to assign different resources to different activities is proposed to attain the fuzzy optimal cost. In this paper for comparing fuzzy numbers a ranking function in terms of parametric form is used. To showcase the proposed method an example is discussed and a comparison is made with a existing method.

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