Categorization in multi-criteria decision making

被引:23
|
作者
Yager, Ronald R. [1 ]
机构
[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA
关键词
Multi-criteria; Set measure; Aggregation; Categorization; Priority; FUZZY MEASURES;
D O I
10.1016/j.ins.2017.08.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We discuss the use of monotonic measures for the representation of criteria importance information in multi-criteria decision-making. We show that the Choquet integral provides an appropriate method for the aggregation of the individual criteria satisfactions in the case where the relationship between criteria importance's is expressed using a measure. We describe the use of categories and the related idea of a categorization in formulating the structural relationship between multiple criteria. We show how we can model this categorization using a measure on the space of criteria, which in turn allows us to use the Choquet integral to evaluate an alternative's satisfaction to this type of multi-criteria decision problem. We look at a special categorization of the criteria that is closely to a prioritization of the criteria. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:416 / 423
页数:8
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