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Author: Rouyendegh (Babek Erdebilli), Babak DaneshvarWoS Q: Q2

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    Article
    Citation - WoS: 65
    Citation - Scopus: 72
    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: 19
    Citation - Scopus: 21
    A Hybrid Approach for Selecting Material Handling Equipment in a Warehouse
    (Taylor & Francis Ltd, 2016) Saputro, Thomy Eko; Rouyendegh (Babek Erdebilli), Babak Daneshvar; Rouyendegh , Babak Daneshvar; Rouyendegh Babek Erdebilli, Babak Daneshvar
    Warehouse operations are closely related to material handling activities. Loading, unloading, transporting and picking material constitute a huge part of the activities. In order to handle material properly as well as to contribute value to the material, the operator and the environment, utilizing Material Handling Equipment (MHE) is required. The selection of proper MHEs requires great focus since its consideration is linked to mutli-criteria and multi-objective decision making problems. Here, a hybrid method is proposed to address the MHE selection problem. An approach that integrates the entropy based hierarchical fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Multi-Objective Mixed Integer Linear Programming (MOMILP) is used for seeking the best alternative. The evaluation of alternatives is performed based on both subjective and objective criteria. Subjective weights are derived from a fuzzy Analytic Hierarchy Process (AHP). To deal with objective criteria, the entropy method is adopted to determine the weights, and the integrated weights are also calculated. The alternatives are rated by using fuzzy TOPSIS. For final execution of the selection, an MOMILP model is developed incorporating two goals, namely to minimize the disadvantage of material handling operation and to minimize the total cost of material handling. The AUGMented E-CONtraint method (AUGMECON) is used to solve the model. A case study is given to illustrate the method. The results show the effectiveness of the hybrid method in complex decision making.