1,721,298 research outputs found
Using fuzzy relation equations in the construction of inference mechanisms in expert systems
No full textExpert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate tool to cope with imprecision and uncertainty available in any process of knowledge acquisition. There is a general conceptual setting of fuzzy sets, especially the possibility theory in a context of knowledge processes existing in expert systems. Here we discuss technical background covering an inference mechanism realized by using fuzzy relation equations
Semantic Web Content Analysis: A Study in Proximity-Based Collaborative Clustering
No full textThe semantic vision of the Web involves the processing of data by automated tools as well as by people, where the association of meaning with content, facilitates the search,
the interoperability and the composition of several services. The
Semantic Web forms a new scenario, where advanced methods
and techniques are developed for the description, the retrieval and
filtering of Web-based content. In the light of existing challenges
and open issues concerning the actual cyberspace, this study
proposes an approach for binding the “semantic” facet with the
usual textual one, that together constitutes a typical web page,
or specifically, a semantic web document. Through the use of
unsupervised learning, we offer a new alternative of organizing
web documents which emphasizes a direct separation between the
syntactic and semantic facets of the web information. In this study,
we discuss a collaborative proximity-based fuzzy clustering and
show how this type of clustering is used to discover a structure
of web information by a prudent reliance on the structures in the
spaces of semantics and data. The method focuses on the reconciliation between the two separated facets of web information and a combination of results leading to a comprehensive data organization. The information arranged in this manner can provide an integral description of web resources, becoming in this manner an
essential technique for the next generation of Web search engines
Fuzzy Relation Calculus in the Compression and Decompression of Fuzzy Relations
No full textWe firstly review some fundamentals of fuzzy relation calculus and, by recalling some known results, we improve the mathematical contents of our previous papers by using the properties of a triangular norm over [0,1]. We make wide use of the theory of fuzzy relation equations for getting lossy compression and decompression of images interpreted as two-argument fuzzy matrices.The same scope is achieved by decomposing a fuzzy matrix using the concept of Schein rank. We illustrate two algorithms with a few examples
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