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Özer Uygun
Researcher at Sakarya University
Publications - 41
Citations - 601
Özer Uygun is an academic researcher from Sakarya University. The author has contributed to research in topics: Fuzzy logic & Multiple-criteria decision analysis. The author has an hindex of 9, co-authored 39 publications receiving 464 citations.
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Journal ArticleDOI
Performance evaluation of green supply chain management using integrated fuzzy multi-criteria decision making techniques
Özer Uygun,Ayşe Dede +1 more
TL;DR: A model based on integrated fuzzy MCDM methods is proposed for evaluating GSCM performance of companies in terms of green design, green purchasing, green transformation, green logistics and reverse logistics.
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An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company
TL;DR: A fuzzy integrated multi-criteria decision making method for evaluation and determination of an outsourcing provider for a telecommunication company is analyzed by using DEMATEL and Fuzzy ANP multi- criterion decision making techniques.
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Talent management in manufacturing system using fuzzy logic approach
TL;DR: A model is proposed for investigating competency level of employees and utilizing this information in obtaining a yield in an optimal level from employees' emotional and intellectual capabilities, and experiences to deal with uncertainty and vagueness in assessment of TM.
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Readiness assessment model for institutionalization of SMEs using fuzzy hybrid MCDM techniques
TL;DR: The fuzzy hybrid multi-criteria decision-making approach is used in order to measure institutionalization readiness of small and medium sized enterprises (SMEs) and the weights of the factors are calculated by obtaining expert opinions, along with fuzzy DEMATEL and fuzzy analytic network process (ANP) methods.
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FUZZYFCC: Fuzzy logic control of a fluid catalytic cracking unit (FCCU) to improve dynamic performance
TL;DR: How fuzzy logic control (FLC), as a promising control technique, would be effectively used for improved process control of FCC in refinery process industry is indicated.