Maintenance Work Order Prioritization for Scheduling Using a Spherical Fuzzy Inference System

Bahadir, Cagri; Kahraman, Cengiz

doi:10.15388/25-INFOR588

Informatica

Maintenance Work Order Prioritization for Scheduling Using a Spherical Fuzzy Inference System

Cagri Bahadir

Cengiz Kahraman

https://doi.org/10.15388/25-INFOR588

Pub. online: 15 May 2025 Type: Research Article

Open Access

Received
1 June 2024

Accepted
1 March 2025

Published
15 May 2025

Abstract

Existing fuzzy inference systems are generally based on ordinary fuzzy sets, which do not let the second and third dimensions of the other fuzzy sets extensions to be employed. This paper suggests a decision-making approach by utilizing the fuzzy inference systems (FIS) based on spherical fuzzy sets (SFS). We prefer spherical fuzzy sets to consider the indecision degree together with membership and non-membership degrees in the proposed FIS. During the defuzzification of SF inference system, the indecision degree is distributed over membership and non-membership degree in balance regarding to indecision degree by using a special transformation function. By applying the proposed approach on FIS, it aims to cover hesitancies and uncertainties caused by insufficient assessments of the decision makers more effectively. The proposed decision-making approach is tested with a real-world application in the field of maintenance work order prioritization for scheduling. Finally, the result of the suggested approach based on SFS is compared with the risk assessment matrix technique (RAM) existing in the literature and Picture Fuzzy Inference Systems (PiFIS). It is observed that the proposed Spherical Fuzzy Inference System (SFIS) is more efficient than RAM and PiFIS methods.

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Biographies

Bahadir Cagri

https://orcid.org/0009-0003-4346-7524

bahadirc20@itu.edu.tr

C. Bahadir is a PhD candidate in the Industrial Engineering Department at Istanbul Technical University. He earned his MS degree in mechatronic engineering from Istanbul Technical University in 2008. His current research interests include fuzzy inference, decision making system and reliability centered maintenance.

Kahraman Cengiz

https://orcid.org/0000-0001-6168-8185

kahramanc@itu.edu.tr

C. Kahraman received his BSc degree in 1988; MSc degree in 1990, and PhD degree in 1996 from Industrial Engineering of Istanbul Technical University. Prof. Kahraman is now a full professor at Istanbul Technical University in the Department of Industrial Engineering. His research areas are engineering economics, quality management, statistical decision making, multicriteria decision making, and fuzzy decision making. He published more than 350 international journal papers and more than 250 conference papers. He became the guest editors of many international journals and the editor of many international books from Springer. He is a member of editorial boards of 20 international journals. He organized various conferences such as FLINS, RACR, FSSCMIE, and INFUS. He was the vice dean of ITU Management Faculty between 2004–2007 and the head of ITU Industrial Engineering Department between 2010–2013. Prof. Kahraman’s Google H-index is 98.

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Keywords

spherical fuzzy sets picture fuzzy sets fuzzy inference systems decision support systems maintenance prioritization fuzzy risk assessment

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