A Fuzzy Logic Approach for Corporate Performance Evaluation

dc.authorscopusid57219902775
dc.authorscopusid56118641300
dc.authorscopusid6603658187
dc.contributor.authorTaşkan, B.
dc.contributor.authorKaratop, B.
dc.contributor.authorKubat, C.
dc.date.accessioned2023-11-10T21:11:22Z
dc.date.available2023-11-10T21:11:22Z
dc.date.issued2024
dc.departmentMAÜNen_US
dc.description12th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2023 -- 26 May 2023 through 28 May 2023 -- -- 302369en_US
dc.description.abstractToday’s brutal competition environment has made it a necessity for businesses to evaluate their performance in order to maintain their existence and gain sustainable competitive advantage. The current environment does not allow businesses that do not perform performance evaluations a chance to survive. Therefore, corporate performance evaluation is a multi-criteria, complex and uncertain real-life problem that is vital for businesses. Corporate performance should be measured multi-dimensionally, but performance indicators of these dimensions may not always be expressed with a numerical value or may have uncertainty. In this case, the closest results are obtained by using fuzzy logic. Based on the current importance of the subject, a fuzzy model has been developed for the evaluation of corporate performance in this study. The outputs of the model are total enterprise performance, corporate reputation and financial output. Although the number of inputs used for each output varies, the inputs used in the model are the environment, customers, society, government, competitors, suppliers, business processes and sustainability. The application of the model is demonstrated with a case study using the fuzzy logic toolbox of the MATLAB program. Performance values for “Total Enterprise Performance”, “Corporate Reputation” and “Financial Output” were obtained as 16.9, 16.9 and 20.8, respectively. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.identifier.doi10.1007/978-981-99-6062-0_69
dc.identifier.endpage743en_US
dc.identifier.isbn9789819960613
dc.identifier.issn2195-4356
dc.identifier.scopus2-s2.0-85174587511
dc.identifier.scopusqualityQ4
dc.identifier.startpage733en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-99-6062-0_69
dc.identifier.urihttps://hdl.handle.net/20.500.12639/5455
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Mechanical Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectCorporate Performanceen_US
dc.subjectCorporate Performance Evaluationen_US
dc.subjectCorporate Performance Measurementen_US
dc.subjectFuzzy Logicen_US
dc.subjectPerformanceen_US
dc.subjectPerformance Evaluationen_US
dc.subjectPerformance Measurementen_US
dc.subjectApplication Programsen_US
dc.subjectCompetitionen_US
dc.subjectComputer Circuitsen_US
dc.subjectMatlaben_US
dc.subjectSustainable Developmenten_US
dc.subjectCorporate Performanceen_US
dc.subjectCorporate Performance Evaluationen_US
dc.subjectCorporate Performance Measurementen_US
dc.subjectFuzzy-Logicen_US
dc.subjectPerformanceen_US
dc.subjectPerformance Measurementsen_US
dc.subjectPerformances Evaluationen_US
dc.subjectFuzzy Logicen_US
dc.titleA Fuzzy Logic Approach for Corporate Performance Evaluationen_US
dc.typeConference Object

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