为了使"区间"形式加以表述的不确定信息的提取具有侧重性,需提取出对象(属性)集对应的属性(对象)区间集.本文在模糊形式背景中,通过引入2个阈值,将单边区间集与经典半概念结合,提取出属性(对象)集对应的对象(属性)区间集,从而提出区间集外延-集合内涵(集合外延-区间集内涵)(interval set extent-set intent(set extent-interval set intent),ISE-SI(SE-ISI))型单边区间集模糊半概念.全体ISE-SI(SE-ISI)型单边区间集模糊半概念构成格,并给出基于格搜寻全体ISE-SI(SE-ISI)型单边区间集模糊半概念的算法.通过与已有成果对比,显示出这2种知识表示形式的多方优势.本文所得结果在知识表示及提取方法上具有适用范围广、实际应用强等优点.
Abstract
To ensure that the extraction of uncertain information expressed in the form of"intervals"is focused,it is ne-cessary to extract the corresponding attribute(object)interval set for the object(attribute)set.By introducing two thresholds from the fuzzy context,the unilateral interval set is combined with the classical semiconcept to extract the corresponding object(attribute)interval set for the attribute(object)set,and thereby the interval set extent-set intent(set extent-interval set intent)(ISE-SI(SE-ISI))type partially-known fuzzy semiconcept is proposed.All ISE-SI(SE-ISI)type partially-known fuzzy semiconcepts form a lattice,and the algorithm based on lattice search for all ISE-SI(SE-ISI)type partially-known fuzzy semiconcepts is given.The multiple advantages of these two knowledge representation forms are demonstrated by comparing them with existing achievements.The results obtained in this paper have the advantages of broad applicability and strong practical application in knowledge representation and extraction methods.
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