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概率双层次语言麦卡伦对称均值-多准则边界逼近区域法在多准则群体决策中的应用及其在中药方剂选择中的应用。

Probabilistic double hierarchy linguistic Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison method for multi-criteria group decision making and its application in a selection of traditional Chinese medicine prescriptions.

机构信息

Key Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China.

Key Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China.

出版信息

Artif Intell Med. 2023 Jul;141:102558. doi: 10.1016/j.artmed.2023.102558. Epub 2023 Apr 29.

DOI:10.1016/j.artmed.2023.102558
PMID:37295901
Abstract

Traditional Chinese medicine (TCM) has gradually played an indispensable role in people's health maintenance, especially in the treatment of chronic diseases. However, there is always uncertainty and hesitation in the judgment and understanding of diseases by doctors, which affects the status recognition and optimal diagnosis and treatment decision-making of patients. In order to overcome the above problems, we lead into probabilistic double hierarchy linguistic term set (PDHLTS) to accurately describe language information in traditional Chinese medicine and make decisions. In this paper, a multi-criteria group decision making (MCGDM) model is constructed based on the MSM-MCBAC (Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison) method in the PDHL environment. Firstly, a PDHL weighted Maclaurin symmetric mean (PDHLWMSM) operator is proposed to aggregate the evaluation matrices of multiple experts. Then, combined with the BWM and maximizing deviation method, a comprehensive weight determination method is put forward to calculate the weights of criteria. Furthermore, we propose PDHL MSM-MCBAC method based on the Multi-Attributive Border Approximation area Comparison (MABAC) method and the PDHLWMSM operator. Finally, an example of a selection of TCM prescriptions is used and some comparative analyses are made to verify the effectiveness and superiority of this paper.

摘要

中医(TCM)在人们的健康维护中逐渐发挥了不可或缺的作用,尤其是在慢性病的治疗中。然而,医生在判断和理解疾病时总是存在不确定性和犹豫,这影响了患者的地位认可和最佳诊断治疗决策。为了克服上述问题,我们引入概率双层次语言术语集(PDHLTS)来准确描述中医中的语言信息并做出决策。在本文中,我们在 PDHL 环境中构建了基于 MSM-MCBAC(Maclaurin 对称均值-多准则边界逼近区域比较)方法的多准则群体决策(MCGDM)模型。首先,提出了一个 PDHL 加权 Maclaurin 对称均值(PDHLWMSM)算子来聚合多个专家的评估矩阵。然后,结合 BWM 和最大偏差方法,提出了一种综合权重确定方法来计算准则的权重。此外,我们提出了基于多属性边界逼近区域比较(MABAC)方法和 PDHLWMSM 算子的 PDHL MSM-MCBAC 方法。最后,通过一个中医方剂选择的实例,进行了一些对比分析,验证了本文方法的有效性和优越性。

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