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2018 | OriginalPaper | Chapter

Hesitant Fuzzy Evaluation of System Requirements in Job Matching Platform Design

Authors : Sezi Cevik Onar, Basar Oztaysi, Cengiz Kahraman

Published in: Advances in Fuzzy Logic and Technology 2017

Publisher: Springer International Publishing

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Abstract

System requirements are vital for software development. Defining the appropriate requirements and their importance levels and taking the necessary actions to fulfill the most crucial ones are the keys to a successful software program. However, prioritization of the requirements is a complex problem that involves fuzziness and ambiguities. In this study, we propose a multi-criteria decision-making approach based on HFLTS (Hesitant Fuzzy Linguistic Term Sets) to evaluate the system requirements. The proposed method is applied to G@together project that focuses on developing an electronic job-matching platform for disadvantaged people.

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Metadata
Title
Hesitant Fuzzy Evaluation of System Requirements in Job Matching Platform Design
Authors
Sezi Cevik Onar
Basar Oztaysi
Cengiz Kahraman
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-66827-7_5

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