New hybrid EC-Promethee method with multiple iterations of random weight ranges: applied to the choice of policing strategies

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dc.contributor.authorBasilio, Marcio Pereira
dc.contributor.authorPereira, Valdecy
dc.contributor.authorYiğit, Fatih
dc.date.accessioned2023-11-24T09:24:27Z
dc.date.available2023-11-24T09:24:27Z
dc.date.issued2023en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThe decision-making process is part of everyday life for people and organizations. When modeling the solutions to problems, just as important as the choice of criteria and alternatives is the definition of the weights of the criteria. This study will present a new hybrid method for weighting criteria. The technique combines the ENTROPY and CRITIC methods with the PROMETHE method to create EC-PROMETHEE. The innovation consists of using a weight range per criterion. The construction of a weight range per criterion preserves the characteristics of each technique. Each weight range includes lower and upper limits, which combine to generate random numbers, producing “t” sets of weights per criterion, allowing “t” final rankings to be obtained. The alternatives receive a value corresponding to their position with each ranking generated. At the end of the process, they are ranked in descending order, thus obtaining the final ranking. The method was applied to the decision support problem of choosing policing strategies to reduce crime. The model used a decision matrix with twenty criteria and fourteen alternatives evaluated in seven different scenarios. The results obtained after 10,000 iterations proved consistent, allowing the decision maker to see how each alternative behaved according to the weights used. The practical implication observed concerning traditional models, where a single final ranking is generated for a single set of weights, is the reversal of positions after “t” iterations compared to a single iteration. The method allows managers to make decisions with reduced uncertainty, improving the quality of their decisions. In future research, we propose creating a web tool to make this method easier to use, and propose other tools are produced in Python and R.en_US
dc.identifier.citationBasilio, M. P., Pereira, V., Yiğit, F. (2023). New hybrid EC-Promethee method with multiple iterations of random weight ranges: applied to the choice of policing strategies. Mathematics, 11(21).en_US
dc.identifier.issn2227-7390
dc.identifier.issue21en_US
dc.identifier.scopus2-s2.0-85176552653
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4243
dc.identifier.volume11en_US
dc.identifier.wosWOS:001100211900001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYiğit, Fatih
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en_US
dc.relation.ispartofMathematics
dc.relation.isversionof10.3390/math11214432en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCRITICen_US
dc.subjectDecision Makeren_US
dc.subjectENTROPYen_US
dc.subjectMCDAen_US
dc.subjectOperations Researchen_US
dc.subjectPolicing Strategyen_US
dc.subjectPROMETHEEen_US
dc.titleNew hybrid EC-Promethee method with multiple iterations of random weight ranges: applied to the choice of policing strategies
dc.typeArticle

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