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Handling vague and qualitative criteria in case-based reasoning applications (2000).
| Content Provider | CiteSeerX |
|---|---|
| Author | Vollrath, Ivo |
| Abstract | In some case-based reasoning (CBR) applications for decision support there are a number of vague or mostly qualitative criteria that have to be taken into account by the similarity measure. Sometimes, these criteria are very hard to acquire or quantify and they often counteract the "main" quality criteria that is measured by the similarity function. Surprisingly, this sometimes is true even for cost criteria (mostly believed to be quite quantitative): in certain applications, the acceptable cost limit depends mostly on the quality that is available and thus cannot be specified a priori. This paper discusses the problems arising from this kind of implicit criteria and shows approaches of how they can be integrated into the similarity measure of a case-based reasoning system without the need of artificially quantifying them. |
| File Format | |
| Publisher Date | 2000-01-01 |
| Access Restriction | Open |
| Subject Keyword | Qualitative Criterion Case-based Reasoning Application Similarity Measure Case-based Reasoning Decision Support Main Quality Criterion Cost Criterion Acceptable Cost Limit Certain Application Similarity Function Case-based Reasoning System Implicit Criterion |
| Content Type | Text |
| Resource Type | Article |
