Hybrid decision support system disaster management: application of lattice ordered q-rung linear Diophantine fuzzy hypersoft sets.

IF 3.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
PeerJ Computer Science Pub Date : 2025-06-03 eCollection Date: 2025-01-01 DOI:10.7717/peerj-cs.2927
J Vimala, A N Surya, Nasreen Kausar, Dragan Pamucar, Seifedine Kadry, Jungeun Kim
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引用次数: 0

Abstract

The discovery of the lattice-ordered q-rung linear Diophantine fuzzy hypersoft set is a significant extension of fuzzy set theory. This study describes many of its fundamental algebraic operations, such as restricted union, extended union, restricted intersection, OR operation, and AND operation, along with examples. Further, an algorithm based on the proposed operations is presented in this study to handle multi-attributed decision-making problems extremely well, along with an illustrative multi-attribute decision-making example in the area of disaster management, which helps in choosing the most appropriate plan to tackle the known natural disaster by considering a greater number of attributes together. Further, the contribution of the method in the disaster management field is presented in the comparative analysis along with computational efficiency and scalability and an analysis of the comparison between the existing decision-making methods and the proposed one to express the superiority and advantages of the suggested approach over the existing methods.

混合决策支持系统灾害管理:格序q阶线性丢番图模糊超软集的应用。
格序q阶线性丢番图模糊超软集的发现是模糊集理论的重要推广。本文介绍了它的许多基本代数运算,如限制并、扩展并、限制交、或运算、与运算,并举例说明。在此基础上,本文提出了一种处理多属性决策问题的算法,并给出了灾害管理领域的多属性决策示例,有助于在综合考虑更多属性的情况下,选择最合适的方案来应对已知的自然灾害。此外,本文还对该方法在灾害管理领域的贡献进行了比较分析,包括计算效率和可扩展性,以及对现有决策方法和所提方法的比较分析,以表达所提方法相对于现有方法的优越性和优势。
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来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
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