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A Novel Extended Fuzzy Pivot Pairwise Relative Criteria Importance Assessment (MF PIPRECIA-E) Method
Dragisa Stanujkic   Darjan Karabasevic   Gabrijela Popovic   Edmundas Kazimieras Zavadskas   Alptekin Ulutaş   Gökhan Tuncel   Chulung Lee  

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https://doi.org/10.15388/26-INFOR647
Pub. online: 21 October 2026      Type: Research Article      Open accessOpen Access

Received
1 August 2026
Accepted
1 October 2026
Published
21 October 2026

Abstract

This study proposes a Modified Fuzzy Extended Pivot Pairwise Relative Criteria Importance Assessment (MF PIPRECIA-E) method for determining criteria weights under uncertainty. The proposed extension enables the upper bounds of fuzzy numbers obtained during calculation to remain below, equal to, or slightly above 1. In addition, this study also critically examines the procedure of direct and inverse assignment of the relative importance of the criteria, integrated in the PIPRECIA-E method, with the aim of pointing out some important characteristics of this method, which have not been sufficiently explored in previous research. The proposed approach also addresses consistency assessment and group decision-making. Therefore, the main contribution of this study is development of a modified fuzzy PIPRECIA-E method that provides a more consistent procedure for determining weights of the criteria under uncertainty. Accordingly, proposed approach incorporates both direct and inverse criteria importance assessment, extending the applicability of the PIPRECIA-E method for solving various multiple-criteria decision-making (MCDM) problems.

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Biographies

Stanujkic Dragisa
dstanujkic@tfbor.bg.ac.rs

D. Stanujkic is a full professor at the Technical Faculty in Bor, University of Belgrade, Serbia, and adjunct professor at Korea University. His research focuses on multiple-criteria decision-making (MCDM), decision-support systems, and the development and application of methods for evaluating and ranking alternatives. His research interests also include fuzzy and neutrosophic set theory and their applications in solving complex decision-making problems under uncertainty. He has contributed to the development and application of various MCDM methods in management, engineering, and related fields.

Karabasevic Darjan
darjankarabasevic@korea.ac.kr

D. Karabasevic is a full professor at the Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Serbia, adjunct professor at Korea University, Republic of Korea, and chief research fellow at Institute of Dynamic Management, Faculty of Business Management, Vilnius Gediminas Technical University. His research interests include multiple-criteria decision-making, decision-support systems, fuzzy and neutrosophic sets, and computational intelligence.

Popovic Gabrijela
gabrijela.popovic@mef.edu.rs

G. Popovic is a full professor and vice dean for Scientific Research at the Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade, Serbia. Her research interests include management, multiple-criteria decision-making (MCDM), and quantitative methods. Her research focuses on the development and application of MCDM methods to support decision-making in complex management and sustainability-related problems.

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 EUROWorking 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.

Ulutaş Alptekin
alptekin.ulutas@inonu.edu.tr

A. Ulutaş is a professor at İnönü University, Türkiye, where he is affiliated with the Department of International Trade and Business. He received his PhD in industrial engineering from the University of Wollongong, Australia, in 2016. His research interests include quantitative methods, logistics management, supply chain management, and multiple-criteria decision-making (MCDM). His research focuses on the development and application of MCDM methods to logistics, supplier selection, sustainability assessment, and performance evaluation problems.

Tuncel Gökhan
gokhan.tuncel@inonu.edu.tr

G. Tuncel is a professor and dean at İnönü University, Faculty of Economics and Administrative Sciences, Department of Political Science and Public Administration, Türkiye. He received his PhD in Public Administration from İnönü University in 2010. His research interests include political science, public administration, sociology, civil society, migration, and international relations. His research focuses on political and social processes, state-society relations, migration, and the role of civil society organizations in public administration and disaster management.

Lee Chulung
leecu@korea.ac.kr

C. Lee is a professor at the School of Industrial and Management Engineering, Korea University, Republic of Korea. He received his PhD in industrial engineering from Pennsylvania State University, USA. His research interests include logistics and traffic information systems, supply chain management, intelligent transportation systems, and logistics optimization. His research focuses on applying deep learning and artificial intelligence to demand-based logistics space design, warehouse matching, and logistics network optimization.


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Keywords
criteria weights PIPRECIA PIPRECIA-E MF PIPRECIA-E fuzzy sets triangular fuzzy numbers

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