Simultaneous Evaluation of Criteria and Alternatives (SECA) for Multi-Criteria Decision-Making

Keshavarz-Ghorabaee, Mehdi; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Antucheviciene, Jurgita

doi:10.15388/Informatica.2018.167

Informatica

Simultaneous Evaluation of Criteria and Alternatives (SECA) for Multi-Criteria Decision-Making

Volume 29, Issue 2 (2018), pp. 265–280

Mehdi Keshavarz-Ghorabaee Maghsoud Amiri Edmundas Kazimieras Zavadskas Zenonas Turskis Jurgita Antucheviciene

https://doi.org/10.15388/Informatica.2018.167

Pub. online: 1 January 2018 Type: Research Article

Open Access

Received
1 December 2017

Accepted
1 April 2018

Published
1 January 2018

Abstract

In the discrete form of multi-criteria decision-making (MCDM) problems, we are usually confronted with a decision-matrix formed from the information of some alternatives on some criteria. In this study, a new method is proposed for simultaneous evaluation of criteria and alternatives (SECA) in an MCDM problem. For making this type of evaluation, a multi-objective non-linear programming model is formulated. The model is based on maximization of the overall performance of alternatives with consideration of the variation information of decision-matrix within and between criteria. The standard deviation is used to measure the within-criterion, and the correlation is utilized to consider the between-criterion variation information. By solving the multi-objective model, we can determine the overall performance scores of alternatives and the objective weights of criteria simultaneously. To validate the proposed method, a numerical example is used, and three analyses are made. Firstly, we analyse the objective weights determined by the method, secondly, the stability of the performance scores and ranking results are examined, and finally, the ranking results of the proposed method are compared with those of some existing MCDM methods. The results of the analyses show that the proposed method is efficient to deal with MCDM problems.

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Biographies

Keshavarz-Ghorabaee Mehdi

m.keshavarz_gh@yahoo.com

M. Keshavarz-Ghorabaee received the BS degree in electrical engineering from University of Guilan, Rasht, Iran in 2010, the MS degree in production management in 2013 and PhD degree in management-operations research in 2017 from Allameh Tabataba’i University, Tehran, Iran. He has published some papers in leading international journals such as Robotics and Computer-Integrated Manufacturing, The International Journal of Advanced Manufacturing Technology, Journal of Cleaner Production and Applied Mathematical Modelling. His research interests include multi-criteria decision making (MCDM), multi-objective evolutionary algorithms, genetic algorithm, fuzzy MCDM, inventory control, supply chain management, scheduling and reliability engineering.

Amiri Maghsoud

amiri@atu.ac.ir

M. Amiri is a professor at the Department of Industrial Management, Allameh Tabataba’i University, Tehran, Iran. He received his PhD degree in Industrial Engineering from Sharif University of Technology, Tehran, Iran. He has published many papers in leading international journals. His research interests include multi-criteria decision-making (MCDM), data envelopment analysis (DEA), design of experiments (DOE), response surface methodology (RSM), fuzzy MCDM, inventory control, supply chain management, simulation and reliability engineering.

Zavadskas Edmundas Kazimieras

edmundas.zavadskas@vgtu.lt

E.K. Zavadskas, PhD, DSc, h.c. multi. professor at the Department of Construction Management and Real Estate, chief research fellow at the Laboratory of Operational Research, Research Institute of Sustainable Construction, Vilnius Gediminas Technical University, Lithuania. PhD in building structures (1973). Dr Sc. (1987) in Building Technology and Management. A member of Lithuanian and several foreign Academies of Sciences. Doctore Honoris Causa from Poznan, Saint Petersburg and Kiev universities. The honorary international chair professor in the National Taipei University of Technology. A member of international organizations; a member of steering and programme committees at many international conferences; a member of the editorial boards of several research journals; the author and co-author of more than 400 papers and a number of monographs in Lithuanian, English, German and Russian. Editor-in-chief of journals Technological and Economic Development of Economy and Journal of Civil Engineering and Management. Research interests: building technology and management, decision-making theory, automation in design and decision support systems.

Turskis Zenonas

zenonas.turskis@vgtu.lt

Z. Turskis is prof. dr. of technical sciences, professor at the Department of Construction Management and Real Estate, Chief Research Fellow at the Laboratory of Operational Research, Research Institute of Sustainable Construction, Vilnius Gediminas Technical University, Lithuania. Research interests: building technology and management, decision-making theory, computer-aided automation in design, expert systems. He is the author of more than 120 research papers, which are referred in the Web of Science database.

Antucheviciene Jurgita

jurgita.antucheviciene@vgtu.lt

J. Antucheviciene is a professor at the Department of Construction Management and Real Estate at Vilnius Gediminas Technical University, Lithuania. She received her PhD in civil engineering in 2005. Her research interests include multi-criteria analysis, decision-making theories and decision support systems, sustainable development, construction management and investment. She has co-authored more than 70 research papers, which are referred in the Web of Science database.

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Keywords

multi-criteria decision-making (MCDM) criteria weight performance evaluation simultaneous evaluation of criteria and alternatives (SECA)

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