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With the development of web, there are an increasing number of incomplete information systems. Approaches to building ontology from this kind of data source have become much more important. Granular computing (GrC) is a nature way of human problem-solving. It is intended to deal with impression, uncertainty, and partial truth. In this paper, by applying the principle of granular computing and concept...
Ontology capture is a key topic in constructing an ontology, and it is a procedure of knowledge acquisition. In this paper, by applying the principle of granular computing, some concepts about information granules, including domain feature information granule, domain object information granule, were defined, the context of the domain ontology may be granulated. A domain granule and a domain granule...
Classification is a basis ingredient of knowledge processing, and algorithms play a key role in a classifying system. In the paper, granular computing is applied in the domain of Chinese text classification. First, some concepts such as information granules, feature granules, decision granules, operations of granules and closeness of granules, are defined. Secondly, based on granular computing generating...
Nowadays, most of the clustering methods are studied towards the one fold attribute type, such as numerical attribute, character attribute etc. Therefore, it needs to develop the clustering method which could deal with multi-attribute types at the same time in order to satisfy the demanding of the modern large complicated data bases. In the paper, a clustering algorithm towards multi-attribute types...
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