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dc.contributor.authorAyağ, Zeki
dc.contributor.authorSamanlıoğlu, Funda
dc.date.accessioned2021-01-28T10:42:40Z
dc.date.available2021-01-28T10:42:40Z
dc.date.issued2020
dc.identifier.issn1756-378Xen_US
dc.identifier.issn1756-3798en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3766
dc.identifier.urihttps://doi.org/10.1108/IJICC-07-2020-0079
dc.description.abstractPurpose In this paper, two popular multiple-criteria decision-making (MCDM) methods with hesitant fuzzy logic approach; hesitant fuzzy analytic hierarchy process (hesitant F-AHP) and hesitant fuzzy the technique for order preference by similarity to ideal solution (HF-TOPSIS) are integrated as HF-AHP-TOPSIS to evaluating a set of enterprise resource planning (ERP) alternatives and rank them by weight to reach to the ultimate one that satisfies the needs and expectations of a company. Design/methodology/approach Selecting the best ERP software package among the rising number of the options in market has been a critical problem for most companies for a long time because of the reason that an improper ERP software package might lead to many issues (i.e. time loss, increased costs and a loss of market share). On the other hand, finding the best ERP alternative is a comprehensive MCDM problem in the presence of a set of alternatives and several potentially competing quantitative and qualitative criteria. Findings In this integrated approach, the hesitant F-AHP is used to determine the criteria weights, as the hesitant F-TOPSIS is utilized to rank ERP package alternatives. The proposed approach was also validated in a numerical example that has five ERP package alternatives and 12 criteria by three decision-makers in order to show its applicability to potential readers and practitioners. Research limitations/implications If the number of the alternatives and criteria are dramatically increased beyond reasonable numbers, the reaching to final solution will be so difficult because of the great deal of fuzzy based calculations. Therefore, the number of criteria and alternatives should be at reasonable numbers. Practical implications The proposed approach was also validated in a illustrated example with the five ERP package options and 12 criteria by the three decision-makers in order to show its applicability to potential readers and practitioners. Originality/value Furthermore, in literature, to the best of our knowledge, the authors did not come cross any work that integrates the HF-AHP with the HF-TOPSIS for ERP software package selection problem.en_US
dc.language.isoengen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnterprise resource planning (ERP) package selectionen_US
dc.subjectHesitant fuzzy logicen_US
dc.subjectMultiple-criteria decision-makingen_US
dc.subjectAnalytic hierarchy process (AHP)en_US
dc.subjectTechnique for order preference by similarity to ideal solution (TOPSIS)en_US
dc.titleA hesitant fuzzy linguistic terms set-based AHP-TOPSIS approach to evaluate ERP software packagesen_US
dc.typearticleen_US
dc.relation.journalInternational Journal of Intelligent Computing and Cyberneticsen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000597950300001en_US
dc.identifier.doi10.1108/IJICC-07-2020-0079en_US
dc.identifier.scopus2-s2.0-85097226322en_US
dc.institutionauthorAyaǧ, Zekien_US
dc.institutionauthorSamanlıoğlu, Fundaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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