Improved semi-infinite interval type-2 fuzzy multi-objective programming with integrated multi-criteria decision analysis for sustainable water resource management

Water shortages and supply pressures due to the special geographical environment pose significant challenges to the social and economic development of the Minjiang River Basin in Fujian Province, China. This study introduced a semi-infinite interval type-2 fuzzy multi-objective programming (SIIT2F-M...

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Bibliographic Details
Published in:Journal of water process engineering Vol. 73; p. 107687
Main Authors: Zhang, Xi, Jin, Lei, Fan, Yurui, Wang, Li, Liu, Jing, Gao, Pangpang
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.05.2025
Subjects:
Interval type-2 fuzzy
MCDA
Multi-objective programming
Risk control
Semi-infinite programming
Water resources management
Interval type-2 fuzzy
Semi-infinite programming
Water resources management
Multi-objective programming
Risk control
MCDA
ISSN:2214-7144, 2214-7144
Online Access:Get full text
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Summary:Water shortages and supply pressures due to the special geographical environment pose significant challenges to the social and economic development of the Minjiang River Basin in Fujian Province, China. This study introduced a semi-infinite interval type-2 fuzzy multi-objective programming (SIIT2F-MOP) model to optimize the water resource system under conditions of uncertainty. Additionally, a novel multi-criteria decision analysis (MCDA) method, integrating the interval-based technique for order of preference by similarity to ideal solution (ITOPSIS), was developed to analyze and evaluate water allocation results using interval data instead of specific values. The SIIT2F-MOP model combines semi-infinite programming, multi-objective optimization, and interval type-2 fuzzy sets to address uncertainties and resolve conflicts among multiple decision-makers in water resource management. The innovations and contributions of this study are as follows: (i) prioritizing the restructuring of secondary industries while advancing manufacturing and modern service sectors can promote economic development and mitigate water shortages, and net system benefits increased by 7.2 %; (ii) evaluation of water allocation options using the ITOPSIS method demonstrates that industrial benefits account for 53.8 % of the optimal scenario; and (iii) the proposed model facilitates dynamic analysis of economic efficiency, equity in water distribution, and water scarcity within the water resource system. By integrating advanced optimization and decision-making techniques, this study contributes to sustainable resource management and supports risk control in the face of growing water demand. [Display omitted] •Developed a Semi-Infinite Interval Type-2 Fuzzy Multi-Objective model.•Integrated pentagonal fuzzy sets into the algorithm to address uncertainties.•Generated sustainable and optimized water allocation schemes.•Proposed an innovative Multi-Criteria Decision Analysis method.•The model outperforms traditional multi-objective models in improved efficiency.
ISSN:2214-7144
2214-7144
DOI:10.1016/j.jwpe.2025.107687