Show simple item record

dc.contributor.authorYurtyapan, Mustafa Said
dc.contributor.authorAydemir,Erdal
dc.date.accessioned2021-05-31T11:37:39Z
dc.date.available2021-05-31T11:37:39Z
dc.date.issued2021
dc.identifier.citationYurtyapan, M. S. & Aydemir, E. (2021). ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method. Grey Systems: Theory and Application.en_US
dc.identifier.issn2043-9377
dc.identifier.urihttp://hdl.handle.net/20.500.12566/790
dc.description.abstractPurpose – Enterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way. Design/methodology/approach – ERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately. Findings – The proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoengen_US
dc.publisherGrey Systems: Theory and Applicationen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.subjectERP software Selectionen_US
dc.subjectERP yazılım seçimitr_TR
dc.subjectInterval grey numberen_US
dc.subjectAralık gri numarasıtr_TR
dc.subjectIntuitionistic fuzzy seten_US
dc.subjectSezgisel bulanık kümetr_TR
dc.subjectMACBETHen_US
dc.subjectDecision makingen_US
dc.subjectKarar vermetr_TR
dc.titleERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH methoden_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publicationcategoryInternational publicationen_US
dc.identifier.wosWOS:000627050800001
dc.contributor.orcid0000-0003-3457-3803 [Yurtyapan, Mustafa Said]
dc.contributor.abuauthorYurtyapan, Mustafa Said
dc.contributor.yokid260803 [Yurtyapan, Mustafa Said]
dc.identifier.doihttps://doi.org/10.1108/GS-01-2021-0002


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record