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Conference Object Citation - Scopus: 2Mba Students' Preference On: Online, Formal and Hybrid Mba Programs(Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Erkan, Turan ErmanIn recent years, there has been a rapid rise in student enrolments in both online and formal MBA programs. This study is based on the results of a case study in which over 30 students enrolled in a top-ranked online and formal MBA program. Thus, the Fuzzy Analytic Hierarchy Process (FAHP) has been used for choosing the program. Due to the inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process, the FAHP has been used. The result of the research is interesting since neither an online nor a formal education program is preferred; a hybrid one has been developed. (C) 2011 Published by Elsevier Ltd.Conference Object Citation - WoS: 6Curriculum Change Parameters Determined by Multi Criteria Decision Making (mcdm)(Elsevier Science Bv, 2014) Erkan, Turan Erman; Rouyendegh, Babak DaneshvarCurriculum, research, instruction, learning and assessment are the pulse of the university. The main purpose of this study is to fill a substantial knowledge gap regarding reaching a uniform group decision in Industrial engineering curriculum design and planning. A comprehensive quality based course criterion model extracted from existing literature and expert opinions was developed. Multi Criteria Decision Making (MCDA) was used to identify the relative importance of course criteria for the purpose of tailoring an optimal four Industrial engineering curriculum for Bachelor's Degree students in Turkey.. The hierarchical model and analysis utilized in the present study will be useful for resolving several important multi-criteria decision-making issues in planning and evaluating Industrial Engineering programs. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Academic World Education and Research Center.Article Citation - WoS: 19Citation - Scopus: 25Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making(Hindawi Ltd, 2012) Rouyendegh, Babak DaneshvarThere 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.Article Citation - WoS: 22Citation - Scopus: 37The Dea and Intuitionistic Fuzzy Topsis Approach To Departments' Performances: a Pilot Study(Hindawi Publishing Corporation, 2011) Rouyendegh, Babak DaneshvarThis paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis (DEA) to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. First, the alternative evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, we use the opinion of experts to be applied into a model of group Decision-Making (DM) called the Intuitionistic Fuzzy TOPSIS (IFT) method. The results of both methods are then multiplied to obtain the results. DEA and Intuitionistic Fuzzy TOPSIS ranking do not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all units by aggregate individual opinions of decision makers for rating the importance of criteria and alternatives.Article Citation - WoS: 39Selecting the Best Project Using the Fuzzy Electre Method(Hindawi Ltd, 2012) Rouyendegh, Babak Daneshvar; Erol, SerpilSelecting projects is often a difficult task. It is complicated because there is usually more than one dimension for measuring the impact of each project, especially when there is more than one decision maker. This paper is aimed to present the fuzzy ELECTRE approach for prioritizing the most effective projects to improve decision making. To begin with, the ELECTRE is one of most extensively used methods to solve multicriteria decision making (MCDM) problems. The ELECTRE evaluation method is widely recognized for high-performance policy analysis involving both qualitative and quantitative criteria. In this paper, we consider a real application of project selection using the opinion of experts to be applied into a model by one of the group decision makers, called the fuzzy ELECTRE method. A numerical example for project selection is given to clarify the main developed result in this paper.Conference Object Citation - WoS: 2Citation - Scopus: 5Selection of Working Area for Industrial Engineering Students(Elsevier Science Bv, 2012) Rouyendegh, Babak Daneshvar; Can, Gulin FeryalSelection of working area is one of the most important turning points in the human life. The main purpose of the selection of working area is planning a happy and successful future. There are many factors that interact with one another in this decision making process. In this study, in the content of these factors; feeling interest of lessons took in university education period, career opportunities for various working areas and gender are examined for 14 industrial engineering working areas. In addition, the scope of this study, we used Fuzzy Analytic Network Process (FANP) method to analyze these criteria and to determine the work areas wanted to work by industrial engineering students in order of priority.
