کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
469641 | 698338 | 2009 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Criteria for choosing a rough set model Criteria for choosing a rough set model](/preview/png/469641.png)
One of the challenges a decision maker faces in using rough sets is to choose a suitable rough set model for data analysis. We investigate how two rough set models, the Pawlak model and the probabilistic model, influence the decision goals of a user. Two approaches use probabilities to define regions in the probabilistic model. These approaches use either user-defined parameters or derive the probability thresholds from the cost associated with making a classification. By determining the implications of the results obtained from these models and approaches, we observe that the availability of information regarding the analysis data is crucial for selecting a suitable rough set approach. We present a list of decision types corresponding to the available information and user needs. These results may help a user match their decision requirements and expectations to the model which fulfills these needs.
Journal: Computers & Mathematics with Applications - Volume 57, Issue 6, March 2009, Pages 908–918