An integrated neutrosophic Schweizer-Sklar-based model for evaluating economic activities in organized industrial zones

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dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.authoridSimic, Vladimir/0000-0001-5709-3744
dc.authoridKara, Karahan/0000-0002-1359-0244
dc.authoridPOLAT, Mustafa/0000-0003-2187-2820
dc.contributor.authorKara, Karahan
dc.contributor.authorYalcin, Galip Cihan
dc.contributor.authorSimic, Vladimir
dc.contributor.authorPolat, Mustafa
dc.contributor.authorPamucar, Dragan
dc.date.accessioned2025-01-21T16:35:39Z
dc.date.available2025-01-21T16:35:39Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractOrganized industrial zones (OIZs) are specialized areas where industrial activities are concentrated, and various economic activities take place collectively. Within OIZs, diverse economic activities coexist, forming shared industrial spaces. However, different regions tend to cluster different economic activities within OIZs. Given the significance of determining suitable economic activities for OIZs, developing a model for this decision problem, and testing its practical applicability is crucial. This research presents a multi-criteria decision-making approach to develop an economic activity selection model for OIZs. This model is based on type-2 neutrosophic numbers (T2NNs). Furthermore, two T2NNs aggregation operators, namely T2NN Schweizer-Sklar weighted arithmetic mean and T2NN Schweizer-Sklar weighted geometric mean aggregation operators, are developed based on the Schweizer-Sklar operations for use in determining decision-maker weights and ranking economic activities. The T2NN-based criteria importance through intercriteria correlation (CRITIC) method is employed for criterion weighting. An algorithm specific to the proposed model is devised for ranking economic activities. As a case study, this algorithm is applied to the Artvin-Arhavi OIZ, which is in the process of establishment in Turkey. Sensitivity and comparative analyses are conducted to assess the robustness of the developed aggregation operators and the model. In the case study findings, the most significant criterion is identified as investment risk, and forestry, logging, and related service activities are determined as the best economic activity. This research contributes to the field by introducing the model and novel aggregation operator for the selection of economic activities in OIZs.
dc.identifier.doi10.1016/j.engappai.2023.107722
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85185007470
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2023.107722
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24176
dc.identifier.volume130
dc.identifier.wosWOS:001184490300001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectOrganized industrial zones; Economic activities selection; Type-2 neutrosophic numbers; Schweizer -Sklar aggregation operators; Criteria importance through intercriteria; correlation
dc.titleAn integrated neutrosophic Schweizer-Sklar-based model for evaluating economic activities in organized industrial zones
dc.typeArticle

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