Use of Vague Set Theory for Multiple Objectives Decision Making

Authors

  • Rupali Rajput Department of CSE/IT SRCEM Banmore, India
  • Vivek Jain

DOI:

https://doi.org/10.37591/joadms.v4i1.955

Abstract

Abstract

In this paper, we goal to prolong the inspiration of classical soft expert sets to possibility vague soft expert sets through applying the theory of soft expert sets to the probability vague soft sets. The complement, union, intersection, AND/OR operations as well as some related ideas referring to this inspiration are defined. Since vague sets (VSs) can give more data than fuzzy sets, it is prevalent in mathematical analysis of the system with instability. In this paper, another strategy VS-based is proposed to deal with decision fusion problem. Finally, this suggestion is utilized to a decision making issue and its effectiveness is tested utilizing a hypothetical example.

Keywords: Data mining, VSs, vague association rule mining (VARM), multiple objectives decision making (MODM), objective decision making matrix

Cite this Article

Rupali Rajput, Vivek Jain. Use of Vague Set Theory for Multiple Objectives Decision Making. Journal of Advanced Database Management & Systems. 2017; 4(1): 1–6p.


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Published

2017-05-11

Issue

Vol. 4 No. 1 (2017)

Section

Research Articles

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