The SMAA-TWD model: A novel stochastic multi-attribute three-way decision with interrelated attributes in triangular fuzzy information systems
The SMAA-TWD model: A novel stochastic multi-attribute three-way decision with interrelated attributes in triangular fuzzy information systems
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SMAA-TWD 模型:三角模糊信息系统中具有相互关联属性的新型随机多属性三向决策
DOI:
10.1016/j.ins.2022.10.117
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发表时间:
2022-11
影响因子:
8.1
通讯作者:
Jingfeng Shan
中科院分区:
文献类型:
--
作者:
Qian Zhao;Yanbing Ju;Luis Martínez;Peiwu Dong;Jingfeng Shan
As a decision model to depict the human cognitive process, three-way decision (TWD) offers a reasonable semantic interpretation for solving practical multi-attribute decision-making (MADM) problems. Due to the complexity of the decision-making environment, uncertainties usually exist in multi-attribute three-way decision making problems. To stress these uncertainties simultaneously, a novel stochastic multi-attribute TWD model that incorporates TWD,∊-almost stochastic dominance, and stochastic multiobjective acceptability analysis (SMAA) is proposed for dealing with stochastic MADM problems with interrelated attributes in triangular fuzzy information systems. First, based on the∊-almost stochastic dominance, a novel∊-almost stochastic dominance degree is proposed for measuring the quantitative relationship of two triangular fuzzy numbers. Second, a novel stochastic TWD model is presented, in which the set of two states, conditional probability, and relative loss, can be obtained according to an information system. Third, the Choquet integral with respect to bi-capacity is utilized to aggregate the expected losses of three actions to strengthen their interpretability. Fourth, a SMAA-TWD model is proposed for multi-attribute TWDs with interrelated attributes in triangular fuzzy information systems. Finally, an application to medical diagnosis is given, and a comparative analysis is performed to verify the applicability and effectiveness of the proposed model.
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影响因子:
8.1
作者:
Jiajia Wang;Xueling Ma;Zeshui Xu;Jianming Zhan
通讯作者:
Jianming Zhan
DOI:
10.1016/j.ins.2022.06.018
发表时间:
2022-06
期刊:
Inf. Sci.
影响因子:
--
作者:
Yumei Wang;Peide Liu;Yiyu Yao
通讯作者:
Yumei Wang;Peide Liu;Yiyu Yao
DOI:
10.1287/mnsc.1120.1616
发表时间:
2013-05
期刊:
Manag. Sci.
影响因子:
--
作者:
Larry Y. Tzeng;Rachel J. Huang;Pai-Ta Shih
通讯作者:
Larry Y. Tzeng;Rachel J. Huang;Pai-Ta Shih
影响因子:
8.1
作者:
Liang, Decui;Wang, Mingwei;Xu, Zeshui
通讯作者:
Xu, Zeshui
影响因子:
3.9
作者:
DUBOIS, D;PRADE, H
通讯作者:
PRADE, H