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

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

Rekha Gupta, S. Kazim Naqvi
ISBN13: 9781522510086|ISBN10: 1522510087|EISBN13: 9781522510093
DOI: 10.4018/978-1-5225-1008-6.ch009
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MLA

Gupta, Rekha, and S. Kazim Naqvi. "The Fuzzy-AHP and Fuzzy TOPSIS Approaches to ERP Selection: A Comparative Analysis." Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making, edited by Arun Kumar Sangaiah, et al., IGI Global, 2017, pp. 188-218. https://doi.org/10.4018/978-1-5225-1008-6.ch009

APA

Gupta, R. & Naqvi, S. K. (2017). The Fuzzy-AHP and Fuzzy TOPSIS Approaches to ERP Selection: A Comparative Analysis. In A. Sangaiah, X. Gao, & A. Abraham (Eds.), Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making (pp. 188-218). IGI Global. https://doi.org/10.4018/978-1-5225-1008-6.ch009

Chicago

Gupta, Rekha, and S. Kazim Naqvi. "The Fuzzy-AHP and Fuzzy TOPSIS Approaches to ERP Selection: A Comparative Analysis." In Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making, edited by Arun Kumar Sangaiah, Xiao-Zhi Gao, and Ajith Abraham, 188-218. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1008-6.ch009

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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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