Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process

被引：15

作者：

Danielson, Mats ^{[1
]}

Ekenberg, Love ^{[1
]}

Larsson, Aron ^{[1
]}

Riabacke, Mona ^{[1
]}

机构：

[1] Stockholm Univ, Dept Comp & Syst Sci, SE-16440 Kista, Sweden

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2014年 / 7卷

基金：

瑞典研究理事会;

关键词：

Multi-criteria decision analysis; imprecision; criteria weights; elicitation; DECISION-MAKING; QUALITY;

D O I：

10.1080/18756891.2014.853954

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less cognitively demanding. Furthermore, it should not be too time consuming and must be able to actually use of the information the decision-maker is able to supply. In this paper, we propose a useful weight elicitation method for MAVT/MAUT decision making, which builds on the ideas of rank-order methods, but increases the precision by adding numerically imprecise cardinal information as well.

引用

页码：105 / 112

页数：8