Rough set model of incomplete information systems based on the weighted threshold tolerance relation
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摘要: 針對已有的不完備信息系統粗糙集擴充模型沒有考慮屬性的權重的缺點,提出基于加權閾值容差關系的粗糙集擴充模型.該模型根據給出的不完備信息系統信息量計算權重,不需引入系統外知識,權重確定比較客觀;同時引入閾值來調整加權閾值容差類判定的嚴格程度,兼顧了人的主觀要求,并能預先排除因自身不滿足閾值條件而不可能與任何其他對象劃為同一加權閾值容差類的對象,但不影響類的完整性.實例對比分析表明,與其他模型相比,基于加權閾值容差關系的粗糙集擴充模型符合不完備信息系統應用客觀實際,具有更強的適應能力.Abstract: In order to overcome the shortage that attribute weights are not taken into consideration in the existing extensions of rough sets under incomplete information systems,a new rough set model is proposed based on the weighted threshold tolerance relation.The new model calculates the weights according to the information quantity of the incomplete information system without outside knowledge,so the weights are objective.Moreover,the model introduces a threshold to adjust the strictness degree of the weighted threshold tolerance class,which not only combines subjective requirements into consideration,but also excludes objects in advance that do not reach the threshold and can not be in the same weighted threshold tolerance class with other objects.This exclusion will not influence the completeness of the classes.Contrastive analysis of an example shows that the proposed extension of a rough set based on the weighted threshold tolerance relation accords with the fact of an incomplete information system and is more applicable compared with other models.
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Key words:
- rough set theory /
- information systems /
- tolerance analysis /
- weighing
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