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Institution Author: Rouyendegh, Babak Daneshvar (44661946600)Publication Index: WoS

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Now showing 1 - 3 of 3
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    Article
    Citation - WoS: 65
    Citation - Scopus: 73
    The Intuitionistic Fuzzy Electre Model
    (Taylor & Francis Ltd, 2018) Rouyendegh (Babek Erdebilli), Babak Daneshvar; Rouyendegh , 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: 20
    Citation - Scopus: 26
    Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making
    (Hindawi Ltd, 2012) Rouyendegh, Babak Daneshvar
    There are various methods regarding project selection in different fields. This paper deals with an actual application of construction project selection, using two aggregation operators. First, the opinion of experts is used in a model of group decision making called intuitionistic fuzzy TOPSIS (IFT). Secondly, project evaluation is formulated by dynamic intuitionistic fuzzy weighted averaging (DIFWA). Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers (DMs) for rating the importance of criteria and alternatives. A numerical example for project selection is given to clarify the main developed result in this paper.
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    Article
    Citation - WoS: 17
    Citation - Scopus: 36
    Developing an Integrated Anp and Intuitionistic Fuzzy Topsis Model for Supplier Selection
    (Amer Soc Testing Materials, 2015) Rouyendegh, Babak Daneshvar
    This paper provides an overview of the Analytic Network Process (ANP) and Intuitionistic Fuzzy TOPSIS (IFT) methods for the Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. The study employs an evaluation methodology based on the ANP-IFT where uncertainty and subjectivity are handled with linguistic values. First, the supplier selection problem is formulated using ANP and then used to determine the weights of the criteria by considering the effects of interference and the relationship among the selection criteria. Later, IFT is used to obtain full-ranking of the alternatives based on the opinion of the decision-makers (DMs). The present model provides an accurate and easy classification of supplier attributes using a hybrid model. A numerical example is given to clarify the main results developed in this paper.