کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
478792 | 1446150 | 2009 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Using expert’s rules as background knowledge in the ClusDM methodology Using expert’s rules as background knowledge in the ClusDM methodology](/preview/png/478792.png)
In complex domains it is usually quite difficult to introduce context information. However, sometimes that information should be taken into account to make decisions, because it provides some relevant knowledge that cannot be expressed using an attribute-value representation. This is the case of the determination of risk of contamination of soils. In this paper, we propose to use conjunctive rules to introduce additional background knowledge to a MCDM sorting method called ClusDM. ClusDM is based on the aggregation of the data with unsupervised clustering techniques. The paper presents a new algorithm to incorporate rules to guide the clustering process in a semi-supervised way. The paper also describes how it works in the case sorting a set of possible contaminated soils, and compares the results obtained by ClusDM when rules are used or not.
Journal: European Journal of Operational Research - Volume 195, Issue 3, 16 June 2009, Pages 864–875