A linguistic Z-number-based sorting method for three-way multi-criterion decision-making in ecological function zoning

被引:0
作者
Xiao, Yue [1 ]
Liao, Huchang [1 ]
Jin, Xiaowan [1 ]
Zhan, Jianming [2 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China
[2] Hubei Minzu Univ, Sch Math & Stat, Enshi 445000, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-criterion decision-making; linguistic Z-numbers; Three-way decision; Gained and lost dominance score sorting; Variation-coefficient; MODEL; TOPSIS;
D O I
10.1016/j.ins.2024.120706
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Traditional multi-criterion decision-making methods can help decision-makers decide whether to accept or reject an alternative, but they cannot ensure these results fully meet decision-makers' requirements. Three-way decision methods overcome this limitation by dividing alternatives into three regions. However, traditional three-way decision methods rarely considered the reliability of evaluation information and individual regrets under some criteria. Moreover, most weighting methods in three-way decisions ignored the influence of abnormal values. To fill the above gaps, this paper develops a linguistic Z-number-based sorting method combining the three-way decision with the gain and lost dominance score (GLDS) method that reflects individual regrets under some criteria. Firstly, to avoid individual regrets, we introduce the linguistic Z-number-based GLDS sorting (LZ-GLDS-Sort) method, which obtains two states of alternatives that will be used in the three-way decision. Linguistic Z-numbers can express linguistic evaluation and credibility. Two parameters are introduced in the LZ-GLDS-Sorting method to reflect the relative importance of evaluation information and credibility. Then, a three-way decision method is introduced to divide alternatives into three regions, in which the variation-coefficient weighting method is introduced to avoid the effect of abnormal values. Finally, the ecological function zoning as an example is provided to validate the applicability of this model.
引用
收藏
页数:18
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