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Abstract
An important objective of a group decision-making problem is to determine the weights of attributes that are given by experts participating in the decision-making process. Since different decision-makers have unequal importance in decision-making, a series of studies focused on finding a set of appropriate weights for experts participating in a decision problem. In this paper, the problem of weight determination among decision-makers is investigated by extending an algorithm taken from the technique for order preference by similarity-to-ideal solution. In this case, a pair of most compromising and least compromising solutions is derived from individual judgments of decision-makers and then, these solutions are applied as the bases for determining the magnitude of individual alignment with the group opinion by using a closeness coefficient approach. Determining the weights of decision-makers, the group decision-making problem is then solved. Application of the proposed method is illustrated by a numerical example for the selection of a maintenance strategy.
Additional information
Seyed Hossein RAZAVI HAJIAGHA. Assistant Professor at the Department of Management, Khatam Institute of Higher Education, Teheran, Iran. PhD in Production and Operation Management (2012). The author and co-author of about 20 scientific papers. Research interests: multi-criteria analysis, decision-making theories, data envelopment analysis and mathematical modelling of industrial problems.
Hannan Amoozad MAHDIRAJI. PhD in operation and manufacturing management from the University of Teheran, BA in industrial engineering. Assistant Professor of Kashan branch, Islamic Azad University and the Head of Planning and Systems Department of Iran Mercantile Exchange. Has published nearly 15 papers on supply chains and MCDM models in international journals and conferences.
Shide Sadat HASHEMI. MA in Production and Operation Management, researcher since 2009. Her research interests include operation management, multi-criteria decision making and data envelopment analysis. She is author and co-author of six scientific papers.
Zenonas TURSKIS. Professor, civil engineer, applied mathematics, PhD from VISI (Vilnius Engineering Construction Institute, former name of Vilnius Gediminas Technical University). He works at the Department of Construction Technology and Management of Vilnius Gediminas Technical University. He has more than 100 publications in journals such as International Journal of Information Technology & Decision Making, Economic Research, Journal of Economic Computation and Economic Cybernetics Studies and Research (ECECSR) and more. His research interests include civil engineering, automated designing, programming, Operations Research methods in construction and economics, technological decisions in construction, decision support systems.
