Open Access
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.