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AHP Combined with Fuzzy Topsis for Evaluating a Best Alternative

Published on March 2013 by A. Sahaya Sudha, P. Rajarajeswari
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International Conference on Innovation in Communication, Information and Computing 2013
Foundation of Computer Science USA
ICICIC2013 - Number 2
March 2013
Authors: A. Sahaya Sudha, P. Rajarajeswari
caa79a54-7bf3-4d29-898e-80fd2c05a1c3

A. Sahaya Sudha, P. Rajarajeswari . AHP Combined with Fuzzy Topsis for Evaluating a Best Alternative. International Conference on Innovation in Communication, Information and Computing 2013. ICICIC2013, 2 (March 2013), 18-22.

@article{
author = { A. Sahaya Sudha, P. Rajarajeswari },
title = { AHP Combined with Fuzzy Topsis for Evaluating a Best Alternative },
journal = { International Conference on Innovation in Communication, Information and Computing 2013 },
issue_date = { March 2013 },
volume = { ICICIC2013 },
number = { 2 },
month = { March },
year = { 2013 },
issn = 0975-8887,
pages = { 18-22 },
numpages = 5,
url = { /proceedings/icicic2013/number2/11294-1353/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovation in Communication, Information and Computing 2013
%A A. Sahaya Sudha
%A P. Rajarajeswari
%T AHP Combined with Fuzzy Topsis for Evaluating a Best Alternative
%J International Conference on Innovation in Communication, Information and Computing 2013
%@ 0975-8887
%V ICICIC2013
%N 2
%P 18-22
%D 2013
%I International Journal of Computer Applications
Abstract

Fuzzy TOPSIS is one of the various models of multiple attributes Decision Making with Fuzzy values. In this paper a new method is presented for fuzzy TOPSIS with Triangular fuzzy number. In today's world a consumer while purchasing a product looks after various criteria of a particular product and the place where it is sold. So different products are taken into account along with associated sales counters is identified and formulated. In this paper AHP and Fuzzy TOPSIS methods are proposed to determine the best alternatives using the subjective criteria. The fuzzy distance between each alternative and the ideal solution is found out with the greatest relative closeness to the ideal solution is obtained.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Number Ahp Fuzzy Topsis Multi Criteria Decision Making