English

Solution of the Decision Making Problems using Fuzzy Soft Relations

Artificial Intelligence 2013-04-29 v1

Abstract

The Fuzzy Modeling has been applied in a wide variety of fields such as Engineering and Management Sciences and Social Sciences to solve a number Decision Making Problems which involve impreciseness, uncertainty and vagueness in data. In particular, applications of this Modeling technique in Decision Making Problems have remarkable significance. These problems have been tackled using various theories such as Probability theory, Fuzzy Set Theory, Rough Set Theory, Vague Set Theory, Approximate Reasoning Theory etc. which lack in parameterization of the tools due to which they could not be applied successfully to such problems. The concept of Soft Set has a promising potential for giving an optimal solution for these problems. With the motivation of this new concept, in this paper we define the concepts of Soft Relation and Fuzzy Soft Relation and then apply them to solve a number of Decision Making Problems. The advantages of Fuzzy Soft Relation compared to other paradigms are discussed. To the best of our knowledge this is the first work on the application of Fuzzy Soft Relation to the Decision Making Problems.

Keywords

Cite

@article{arxiv.1304.7238,
  title  = {Solution of the Decision Making Problems using Fuzzy Soft Relations},
  author = {Arindam Chaudhuri and Kajal De and Dipak Chatterjee},
  journal= {arXiv preprint arXiv:1304.7238},
  year   = {2013}
}

Comments

29 Pages Journal Paper, International Journal of Information Technology, Volume 15, Number 1, 2009

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