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Selection of software requirements using TOPSIS under fuzzy environment

Sadiq, M and Khan, S and Mohammad, CW (2020) Selection of software requirements using TOPSIS under fuzzy environment. In: International Journal of Computers and Applications . (In Press)

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Official URL: https://dx.doi.org/10.1080/1206212X.2020.1820689


The goal of the decision making process is to find out the most appropriate alternative(s) from the set of the alternatives based on different criteria. Software requirements selection is a multi-criteria decision making (MCDM) problem whose objective is to choose the software requirements (SRs) from the set of the SRs so that the need of the stakeholders can be implemented during the development of software. Due to the increasing complexity of the socio-economic environment, multiple decision makers are involved during SRs selection process because it is difficult for single decision maker to deal with all the SRs. During the SRs selection process, decision makers use linguistic terminologies to specify the preferences of the SRs. Therefore, this paper presents a decision making method for the selection of the SRs using fuzzy TOPSIS method in which linear scale transformation is used to construct the fuzzy decision matrix based on the triangular fuzzy numbers. Finally, the applicability of the proposed method is demonstrated with the help of an example. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Item Type: Journal Article
Publication: International Journal of Computers and Applications
Publisher: Taylor and Francis Ltd.
Additional Information: copyright for this article belongs to Taylor and Francis Ltd.
Keywords: Fuzzy sets; Linear transformations; Mathematical transformations; Requirements engineering, Decision making process; Decision-making method; Fuzzy environments; Multi-criteria decision making; Selection of software; Socio-economic environments; Software requirements; Triangular fuzzy numbers, Decision making
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 12 Oct 2020 10:58
Last Modified: 12 Oct 2020 10:58
URI: http://eprints.iisc.ac.in/id/eprint/66862

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