| 摘要: |
| 针对分布语言自信评价信息下的多属性群决策问题,提出了一种考虑主体失望情绪的行为多属性群决策方法。首先,考虑实际群决策过程因为决策者的背景、经验、知识等原因会对自身给出的分布语言评价信息有着不同水平的自信程度(这反映了分布语言评价信息的可靠性),定义了一种新的评价结构,即分布语言自信评价;其次,在分布语言自信评价下,考虑有限理性的决策主体,其失望情绪常隐含于决策判断或评价中,利用失望理论,将主体失望情绪融入决策过程,同时,获得分布语言自信评价下的主体感知效用,将主体分布语言自信决策矩阵转化为主体自信效用决策矩阵;然后,定义自信效用向量Dice相似测度和加权Dice相似测度,结合属性的不兼容性程度构建优化模型确定属性权重;接着,基于 TOPSIS 思想对备选方案进行择优排序;最后,在循环经济背景下评估生态工业园区的决策算例,说明该方法的可行性与有效性。 |
| 关键词: 分布语言自信评价 失望理论 Dice 相似度 优化模型 生态工业园评估 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Distributed Linguistic Confidence Group Decision-making Method Considering Subjects'Disappointment |
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ZHANG Shanli; ZHANG Shitao; LIU Xiaodi
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School of Mathematics & Physics Science and Engineering, Anhui University of Technology, Anhui Ma'anshan 243032, China
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| Abstract: |
| A multi-attribute group decision-making method that takes into account the disappointment of the subject was proposed for the multi-attribute group decision-making problem with distributed linguistic confidence evaluation information. In the actual group decision-making process the decision-makers have different levels of confidence in their own distributional linguistic evaluation information (which reflects the reliability of the distributional linguistic evaluation
information) due to their background, experience, knowledge, etc. Based on this, a new evaluation structure was first defined, namely, the distributed language confidence evaluation. Secondly, under distributed linguistic confidence evaluation, the disappointment of a decision subject with bounded rationality is often implicit in the decision judgment or evaluation. Considering the above, the disappointment theory was used to incorporate the subject's disappointment into the decision-making process. Meanwhile, the subject's perceived utility under distributed linguistic confidence evaluation was obtained, and the subject's distributed linguistic confidence decision matrix was transformed into a subject's confident utility decision matrix. Then, the Dice similarity measure and the weighted Dice similarity measure for the confidence utility vector were defined. An optimization model was constructed to determine the attribute weights by combining the degree of incompatibility of the attributes. Next the alternatives were ranked on merit based on TOPSIS idea. Finally, the feasibility and effectiveness of the proposed method were illustrated by an example of decision-making in eco-industrial parks under the background of the circular economy. |
| Key words: distributed linguistic confidence evaluation disappointment theory Dice similarity optimization model assessment of eco-industrial parks |
