Demystifying the Stability and the Performance Aspects of CoCoSo Ranking Method under Uncertain Preferences

Dhruva, Sundararajan; Krishankumar, Raghunathan; Pamucar, Dragan; Zavadskas, Edmundas Kazimieras; Ravichandran, Kattur Soundarapandian

doi:10.15388/24-INFOR565

Informatica

Demystifying the Stability and the Performance Aspects of CoCoSo Ranking Method under Uncertain Preferences

Volume 35, Issue 3 (2024), pp. 509–528

Sundararajan Dhruva Raghunathan Krishankumar Dragan Pamucar Edmundas Kazimieras Zavadskas Kattur Soundarapandian Ravichandran

https://doi.org/10.15388/24-INFOR565

Pub. online: 23 July 2024 Type: Research Article

Open Access

Received
1 November 2023

Accepted
1 June 2024

Published
23 July 2024

Abstract

This paper attempts to demystify the stability of CoCoSo ranking method via a comprehensive simulation experiment. In the experiment, matrices of different dimensions are generated via Python with fuzzy data. Stability is investigated via adequacy and partial adequacy tests. The test passes if the ranking order does not change even after changes are made to entities, and the partial pass signifies that the top ranked alternative remains intact. Results infer that CoCoSo method has better stability with respect to change of alternatives compared to criteria; and CoCoSo method shows better stability with respect to partial adequacy test for criteria.

Supplementary material

Supplementary Material

Demystifying the stability and the performance aspects of CoCoSo ranking method under uncertain preferences.

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Biographies

Dhruva Sundararajan

cb.sc.i5das19016@cb.students.amrita.edu

S. Dhruva has completed his (MSC in (integrated) data science) at Amrita Vishwa Vidyapeetham, Coimbatore, India. He will be starting PhD in industrial and systems engineering at Virginia Tech, Blacksburg, VA, USA from Fall 2024. His research interests include operations research and artificial intelligence. He has published several works in estemeed journals. He also has a conference paper and a book chapter in his name.

Krishankumar Raghunathan

raghunathan.k@iimbg.ac.in

R. Krishankumar is an assistant professor of information technology systems and analytics area, Indian Institute of Management Bodh Gaya, Bodh Gaya 824234, Bihar, India. His area of interests is multi-criteria decision-making and soft computing. He has published more than 50 articles in peer reviewed journals and is a member of the editorial board of peer-reviewed journals. He has been nominated as one of the world’s top 2% scientists based on the data from Scopus and Stanford University.

Pamucar Dragan

dpamucar@gmail.com

D. Pamucar is a professor at the University of Belgrade, Faculty of Organizational Sciences. Dr. Pamucar received this PhD in applied mathematics specializing in multi-criteria modelling and soft computing techniques from the University of Defence in Belgrade, Serbia, in 2013, and an MSc degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interests include computational intelligence, multi-criteria decision-making problems, neuro-fuzzy systems, fuzzy, rough, intuitionistic fuzzy set theory, and neutrosophic theory. Application areas include a wide range of logistics and engineering problems. Dr. Pamucar has five books and over 300 research papers published in SCI indexed international journals, including Experts Systems with Applications, Applied Soft Computing, Soft Computing, Computational Intelligence, Computers and Industrial Engineering, Engineering Applications of Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions of Fuzzy Systems, IEEE Transactions on Transportation Electrification, Information Sciences and Research and so on, and many more. According to Scopus and Stanford University, he has been among the world’s top 2% of scientists from 2020 to the present. According to WoS and Clarivate, he is among the top 1% of highly cited researchers in 2022.

Zavadskas Edmundas Kazimieras

edmundas.zavadskas@vilniustech.lt

E.K. Zavadskas, PhD, DSc, Dr. habil, Dr. H. C. multi, prof. chief researcher of Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Lithuania. PhD in building structures (1973). Dr. Sc. (1987) in building technology and management. Dr. Habil (1993). Founder of Vilnius Gediminas Technical University (1990). Member of the Lithuanian Academy of Science; member of several foreign Academies of Sciences; Honorary doctor from Poznan, Saint-Petersburg, and Kyiv universities. Member of international organizations; member of steering and programme committees at many international conferences; chairman of EURO Working Group ORSDCE; associate editor, guest editor, or editorial board member for 40 international journals (Computers-Aided Civil and Infrastructure Engineering, Automation in Construction, Informatica, International Journal of Information Technology and Decision Making, Archives of Civil and Mechanical Engineering, International Journal of Fuzzy Systems, Symmetry, Sustainability, Applied Intelligence, Energy, Entropy and other); author and co-author of more than 600 papers and a number of monographs in Lithuanian, English, German and Russian. Founding editor of journals Technological and Economic Development of Economy, Journal of Civil Engineering and Management, International Journal of Strategic Property Management. He was a highly cited researcher in 2014, 2018, 2019, 2020. Research interests: multi-criteria decision making, civil engineering, sustainable development, fuzzy multi-criteria decision making.

Ravichandran Kattur Soundarapandian

https://orcid.org/0000-0003-2397-461X

ks_ravichandran@cb.amrita.edu

K.S. Ravichandran recently joined Amrita Vishwa Vidyapeetham in Coimbatore as a distinguished professor in the Department of Mathematics at the Amrita School of Physical Sciences, Tamil Nadu, India. Prior to this appointment, he held the position of the registrar at Rajiv Gandhi National Institute of Youth Development (RGNIYD), an Institute of National Importance under the Government of India located in Sriperumbudur, Kancheepuram. Additionally, he served as an associate dean of research at SASTRA University in Thanjavur, India. After obtaining his master’s degree in computer applications (MCA) and master of science in mathematics (MSc), prof. Ravichandran completed his PhD in mathematics at Alagappa University, Tamil Nadu, India. His academic contributions are notable, with a publication record of more than 200 research articles. Among these, over 185 are indexed in SCOPUS, and more than 95 are indexed in SCI/SCIE/ABDC journals, boasting an average impact factor exceeding 4.25 and an H-index of 31. Professor Ravichandran specializes in various domains such as medical image processing, machine learning, deep learning, multi-criteria decision-making, and computational intelligence and its applications. He completed two research-funded projects as principle investigator worth INR 78 Lakhs. He currently serves as an associate editor for the International Journal of Information Technology, a SCOPUS-indexed journal published by Springer. Moreover, he actively contributes as a reviewer for over 50 SCI/SCIE-indexed journals.

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Keywords

combined compromise solution (CoCoSo) multiple-criteria decision-making (MCDM) adequacy tests stability fuzzy set

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