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Published in:   Vol. 2 Issue 2 Date of Publication:   December 2013

A Strategic Topsis Algorithm with Correlation Coefficient of Interval Vague Sets

P.John Robinson,E.C. Henry Amirtharaj

Page(s):   115-125 ISSN:   2278-2397
DOI:   10.20894/IJCOA.101.002.002.012 Publisher:   Integrated Intelligent Research (IIR)

This paper aims to develop a new method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to solve Multiple Attribute Decision Making(MADM) problems for Interval Vague Sets(IVSs). A TOPSIS algorithm is constructed on the basis of the concepts of the relative-closeness coefficient computed from the correlation coefficient of IVSs. This novel method also identifiesthe positive and negative ideal solutions using the correlation coefficient of IVSs. A numerical illustration explains the proposed algorithms and comparisons are made with various existing methods.