Integrating Fuzzy Maclaurin Symmetric Mean and DEMATEL Method for Water Management Strategies

Authors

  • Norsyahida Zulkifli Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
  • Noor Azzah Awang School of Mathematical Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, 40450, Selangor, Malaysia
  • Muhammad Saeed Department of Mathematics, University of Management and Technology, C-11 Johar Town, Lahore, Pakistan
  • Mohd Lazim Abdullah Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Kuala Nerus, 21030, Malaysia
  • Muhammad Izat Emir Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

DOI:

https://doi.org/10.37934/fwe.7.1.2537

Keywords:

Fuzzy, Maclaurin Symmteric Mean, DEMATEL, water management strategies

Abstract

Water management is a critical challenge faced globally, as efficient management of this vital resource is essential for sustainable development. This study aims to identify and analyze key factors influencing water management strategies, specifically focusing on water availability, water quality, environmental, population growth, pollution & contamination and technological factors. To achieve this, the study develops an integrated decision-making framework combining the fuzzy Maclaurin Symmetric Mean (MSM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods. The study is conducted under fuzzy environment as accounting for uncertainty in decision-making and MSM is used to aggregate multiple data. DEMATEL is then applied to model the causal relationships among the factors. The case study results highlight the significant interdependencies between population growth, water availability and pollution with technological factors identified as crucial in addressing challenges related to water quality and contamination. The findings demonstrate that the integrated framework provides valuable insights into the prioritization and optimization of water management strategies, offering a comprehensive approach to tackle the complex and dynamic challenges of water resource management. This research contributes to the development of more analytical and effective solutions for sustainable water management in a rapidly changing environment.

Author Biographies

Norsyahida Zulkifli, Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

norsyahida.zulkifli@utm.my

Noor Azzah Awang, School of Mathematical Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, 40450, Selangor, Malaysia

azzah@tmsk.uitm.edu.my

Muhammad Saeed, Department of Mathematics, University of Management and Technology, C-11 Johar Town, Lahore, Pakistan

muhammad.saeed@umt.edu.pk

Mohd Lazim Abdullah, Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Kuala Nerus, 21030, Malaysia

lazim_m@umt.edu.my

Muhammad Izat Emir, Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

izatemir@utm.my

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Published

2025-07-02

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Section

Articles