Hyperbolic Fuzzy Decision Analytics-Driven Supplier Selection with Circular Economy Principles in the Aerated Concrete Industry

Ecer, Fatih; Yaşar, Mehmet; Krishankumar, Raghunathan; Yadav, Abhishek; Ravichandran, Kattur Soundarapandian; Zavadskas, Edmundas Kazimieras

doi:10.15388/26-INFOR641

Informatica

Hyperbolic Fuzzy Decision Analytics-Driven Supplier Selection with Circular Economy Principles in the Aerated Concrete Industry

Fatih Ecer

Mehmet Yaşar Raghunathan Krishankumar Abhishek Yadav Kattur Soundarapandian Ravichandran Edmundas Kazimieras Zavadskas

https://doi.org/10.15388/26-INFOR641

Pub. online: 4 August 2026 Type: Research Article

Open Access

Received
1 April 2026

Accepted
1 July 2026

Published
4 August 2026

Abstract

The research introduces a credible decision-support tool for dealing with uncertainty for supplier selection in the aerated concrete industry. The developed framework includes criteria selection, determination of expert and criterion weights, and alternative ranking within a hyperbolic fuzzy environment. Criteria selection is done via the Laplacian score. Expert weights are methodically determined via entropy measure. Criteria are weighted using the LOPCOW and RANCOM methods, and alternatives are ranked using the hyperbolic extension of the DEPART method. The model is employed to solve a circular supplier selection problem in the aerated concrete industry. Comprehensive sensitivity and comparison checks are conducted.

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Biographies

Ecer Fatih

https://orcid.org/0000-0002-6174-3241

fatihecer@gmail.com

F. Ecer is a leading scholar in operations research, decision science, AI, and MCDM. He is a full professor in Turkey, where he has played a pivotal role in advancing research on data-driven decision models, optimisation, and intelligent systems. He has built a distinguished academic career grounded in the development of novel decision-making models that address uncertainty, complexity, and multiple conflicting criteria–core challenges in modern industrial, managerial, and policy decision contexts. He has contributed to developing numerous MCDM methods, such as LOPCOW, WENSLO, SRP, ALPAS, ALWAS, DOBI, MUNRA, and VIMM, as well as uncertain extensions of many MCDM methods. He has ranked in the top 2% of scientists worldwide for scientific impact since 2020 (Stanford–Elsevier ranking).

Yaşar Mehmet

myasar@kastamonu.edu.tr

M. Yaşar received his PhD in aviation management and is currently an associate professor in the School of Civil Aviation at Kastamonu University, Türkiye. His research interests include panel data econometrics, MCDM, sustainability and ESG analytics, and applied operations research, with applications in air transport development and aviation management.

Krishankumar Raghunathan

iamkrishan54kumar@gmail.com

R. Krishankumar is a researcher working in the field of multi-attribute decision-making. He published articles in peer-reviewed journals in the field of business decisions and sustainability-related decisions. He also has expertise in soft computing techniques. He also serves as a reviewer to many top-ranked journals.

Yadav Abhishek

abhishek.alagarasu@gmail.com

A. Yadav is a researcher working in the fields of multi-criteria decision-making, machine learning, and deep learning. He has articles published in peer-reviewed journals in the fields of business research, soft computing, sustainability, and operations research.

Ravichandran Kattur Soundarapandian

ks_ravichandran@cb.amrita.edu

K.S. Ravichandran is a distinguished professor in the field of soft computing and is renowned for his work on operations research at the national level to help students academically with the course. He published extensively in the field of soft computing and decision-making under uncertainty. He also serves as a reviewer and editorial member of multiple journals. He also authored book chapters and developed pedagogical courses in mathematics and operations research for students.

Zavadskas Edmundas Kazimieras

edmundas.zavadskas@vilniustech.lt

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supplier selection construction management circular economy hyperbolic fuzzy sets MCDM sustainable building construction supply chain

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