In this article we are considering a multicriteria classification that differs from usual classification problems since it takes into account preference orders in the description of objects by condition and decision attributes. To deal with multicriteria classification we propose to use a dominanceb
Rough approximation of a preference relation by dominance relations
โ Scribed by Salvatore Greco; Benedetto Matarazzo; Roman Slowinski
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 186 KB
- Volume
- 117
- Category
- Article
- ISSN
- 0377-2217
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โฆ Synopsis
An original methodology for using rough sets to preference modeling in multi-criteria decision problems is presented. This methodology operates on a pairwise comparison table (PCT), including pairs of actions described by graded preference relations on particular criteria and by a comprehensive preference relation. It builds up a rough approximation of a preference relation by graded dominance relations. Decision rules derived from the rough approximation of a preference relation can be used to obtain a recommendation in multi-criteria choice and ranking problems. The methodology is illustrated by an example of multi-criteria programming of water supply systems.
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