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Research Article

A Strategic Topsis Algorithm With Correlation Coefficient Of Interval Vague Sets


Author(s): P.John Robinson , E.C. Henry Amirtharaj
Affiliation: PG & Research Department of Mathematics,Bishop Heber College, Tiruchirappalli Email: robijohnsharon@gmail.com
Year of Publication: 2013
Source: International Journal of Computing Algorithm
     
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Citation: P.John Robinson, E.C. Henry Amirtharaj. "A Strategic Topsis Algorithm With Correlation Coefficient Of Interval Vague Sets." International Journal of Computing Algorithm 2.2 (2013): 115-125.

Abstract:
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 MakingMADM problems for Interval Vague SetsIVSs. 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.


Keywords MADM, TOPSIS, vague sets, Interval vague sets, correlation coefficient of interval vague sets.


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@article{ASt1398611, author = {P.John Robinson,E.C. Henry Amirtharaj}, title = {A Strategic Topsis Algorithm With Correlation Coefficient Of Interval Vague Sets}, journal={International Journal of Computing Algorithm}, volume={2}, issue={2}, issn = {2278-2397}, year = {2013}, publisher = {Scholarly Citation Index Analytics-SCIA}

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