.png){kind=icon}
返回
Inferring Preferences for Multi-Criteria Ordinal Classification Methods Using Evolutionary Algorithms
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2023.3234240.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multicriteria sorting involves assigning the objects of decisions (actions) into $a$ priori known ordered classes considering the preferences of a decision maker (DM). Two new multicriteria sorting methods were recently proposed by the authors. These methods are based on a novel approach called interval-based outranking which provides the methods with attractive practical and theoretical characteristics. However, as is well known, defining parameter values for methods based on the outranking approach is often very difficult. This difficulty arises not only from the large number of parameters and the DM's lack of familiarity with them, but also from imperfectly known (even missing) information. Here, we address: i) how to elicit the parameter values of the two new methods, and ii) how to incorporate imperfect knowledge during the elicitation. We follow the preference disaggregation paradigm and use evolutionary algorithms to address it. Our proposal performs very well in a wide range of computational experiments. Interesting findings are: i) the method restores the assignment examples with high effectiveness using only three profiles in each limiting boundary or representative actions per class; and ii) the ability to appropriately assign unknown actions can be greatly improved by increasing the number of limiting profiles.
Keyword:
Evolutionary algorithms
imperfect information
multiple criteria analysis
multiple criteria ordinal classification
outranking methods
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method一种用于构建多准则分类的排名模型的进化方法: ELECTRE TRI方法的情况
PREAI
分享收藏分享收藏A multiple criteria sorting method where each category is characterized by several reference actions: The ELECTRE TRI-NC method一种多标准排序方法，其中每个类别都有几个参考动作: ELECTRE tri-nc方法
OAAI
OAAI分享收藏Handling imprecise and missing evaluations in multi-criteria majority-rule sorting在多标准多数规则排序中处理不精确和缺失的评估OAAI
OAAI分享收藏A PROMETHEE-based outranking method for multiple criteria decision analysis with interval type-2 fuzzy sets.png)
SOFT COMPUTING
SOFT COMPUTINGIF2.5
PREAI
分享收藏
查看更多内容