Weighted Aggregation of Assessments in Multiple Attribute Decision Making under Uncertainty

机译：不确定性下多属性决策中评估的加权聚合

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摘要

This paper discusses the problem of weighted aggregation of assessments in multiple attribute decision making (MADM) under uncertainty based on Dempster-Shafer theory. A general scheme of attribute aggregation is proposed and its theoretical features are discussed. Due to the limitation of space, a numerical application will be presented during presentation to illustrate the discussed techniques.

机译：本文讨论了基于Dempster-Shafer理论的不确定性下多属性决策（MADM）中评估的加权聚合问题。提出了属性聚合的一般方案，并讨论了其理论特征。由于空间的限制，在演示过程中将提供一个数值应用程序来说明所讨论的技术。

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来源
《International Symposium on Knowledge and Systems Sciences(KSS2004); 20041110-12; Ishikawa(JP)》|2004年|P.274-281|共8页
会议地点 Ishikawa(JP)
作者
Van-Nam Huynh; Yoshiteru Nakamori; Tu-Bao Ho;
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作者单位

School of Knowledge Science Japan Advanced Institute of Science and Technology Ishikawa 923-1292, Japan;

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原文格式 PDF
正文语种 eng
中图分类系统科学;
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Weighted Aggregation of Assessments in Multiple Attribute Decision Making under Uncertainty

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