The Fuzzy-AHP and Fuzzy TOPSIS Approaches to ERP Selection: A Comparative Analysis

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Author(s): Rekha Gupta (Jamia Millia Islamia, India)and S. Kazim Naqvi (Jamia Millia Islamia, India)
Copyright: 2017
Pages: 31
Source title: Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making
Source Author(s)/Editor(s): Arun Kumar Sangaiah (VIT University, India), Xiao-Zhi Gao (University of Eastern Finland, Finland)and Ajith Abraham (Machine Intelligence Research Labs, USA)
DOI: 10.4018/978-1-5225-1008-6.ch009

Keywords: Business & Management / Business and Organizational Research / Business Science Reference / Decision Support Systems

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Abstract

The proposed chapter aims at explaining theoretical frameworks of the Fuzzy AHP and Fuzzy TOPSIS extension approaches and also summarizes the recent research around these two concepts. To help reader understand the practical usage of the two approaches, it also demonstrates their applications on the significant problem of ERP Selection. The techniques are further illustrated with the help of an organization case study located in NCR, Delhi (India). Further, a comparative analysis will be made between the two techniques by taking into account their time complexities.

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The Fuzzy-AHP and Fuzzy TOPSIS Approaches to ERP Selection: A Comparative Analysis

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