A balanced solution of a fuzzy soft set based decision making problem in medical science

被引：76

作者：

Basu, Tanushree Mitra ^{[2
]}

Mahapatra, Nirmal Kumar ^{[1
]}

Mondal, Shyamal Kumar ^{[2
]}

机构：

[1] Panskura Banamali Coll, Dept Math, Panskura Rs 721152, WB, India

[2] Vidyasagar Univ, Dept Appl Math Oceanol & Comp Programming, Midnapore 721102, WB, India

来源：

APPLIED SOFT COMPUTING | 2012年 / 12卷 / 10期

关键词：

Soft set; Fuzzy soft set (FSS); Choice value; Balanced solution; Mean potentiality approach (MPA); Parameter reduction; REDUCTION;

D O I：

10.1016/j.asoc.2012.05.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The purpose of this paper is two folded. Firstly, the concept of mean potentiality approach (MPA) has been developed and an algorithm based on this new approach has been proposed to get a balanced solution of a fuzzy soft set based decision making problem. Secondly, a parameter reduction procedure based on relational algebra with the help of the balanced algorithm of mean potentiality approach has been used to reduce the choice parameter set in the parlance of fuzzy soft set theory and it is justified to the problems of diagnosis of a disease from the myriad of symptoms from medical science. Moreover the feasibility of this proposed method is demonstrated by comparing with Analytical Hierarchy Process (AHP), Naive Bayes classification method and Feng's method. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：3260 / 3275

页数：16

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