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Scopus Q: Q1Subject: Multi-Criteria Decision-Making (MCDM)

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    Article
    Citation - WoS: 64
    Citation - Scopus: 71
    The Intuitionistic Fuzzy Electre Model
    (Taylor & Francis Ltd, 2018) Rouyendegh (Babek Erdebilli), Babak Daneshvar
    The purpose of this research is to postulate and define a new model for Multi-Criteria DecisionMaking (MCDM) problems utilizing the Intuitionistic Fuzzy ELimination Et Choix Traduisant la REalite (IFELECTRE) method, otherwise identified as the Intuitionistic Fuzzy Index of Hesitation Degree method. The Intuitionistic Fuzzy Sets (IFS) method offers certain advantages in using vagueness over a Fuzzy Set (FS): the IFELECTRE method is used to handle more complicated problems, whereas the Decision-Makers (DMs) have some vagueness in assigning option values to the objects considered. The processes of evaluating qualitative and quantitative scales are combined in this work and the proposed model enables different DMs to assess and use IFS. The original ELECTRE method cannot be operated effectively owing to a lack of precise information under different conditions.
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    Article
    Citation - WoS: 67
    Citation - Scopus: 91
    An Application of the Fuzzy Electre Method for Academic Staff Selection
    (Wiley, 2013) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman
    There are various methods regarding staff selection in different fields. Thanks to the increasing improvements in the field of education, universities around the world tend to demand high -quality and professional academic staff. Staff selection is a multi-criteria decision-making processes, and of strategic importance for most universities. This study deals with actual application of academic of staff selection using the opinion of experts to be applied into a model of group decision - making called the Fuzzy ELECTRE (Elimination Et Choix Traduisant la REaite) method. There are ten qualitative criteria for selecting the best candidate amongst five prospective applications. (c) 2012 Wiley Periodicals, Inc.