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Fuzzy Sets in Information Retrieval and Cluster Analysis (Paperback, Softcover reprint of hardcover 1st ed. 1990)
Loot Price: R4,228
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Fuzzy Sets in Information Retrieval and Cluster Analysis (Paperback, Softcover reprint of hardcover 1st ed. 1990)
Series: Theory and Decision Library D:, 4
Expected to ship within 10 - 15 working days
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The present monograph intends to establish a solid link among three
fields: fuzzy set theory, information retrieval, and cluster
analysis. Fuzzy set theory supplies new concepts and methods for
the other two fields, and provides a common frame work within which
they can be reorganized. Four principal groups of readers are
assumed: researchers or students who are interested in (a)
application of fuzzy sets, (b) theory of information retrieval or
bibliographic databases, (c) hierarchical clustering, and (d)
application of methods in systems science. Readers in group (a) may
notice that the fuzzy set theory used here is very simple, since
only finite sets are dealt with. This simplification enables the
max min algebra to deal with fuzzy relations and matrices as
equivalent entities. Fuzzy graphs are also used for describing
theoretical properties of fuzzy relations. This assumption of
finite sets is sufficient for applying fuzzy sets to information
retrieval and cluster analysis. This means that little theory,
beyond the basic theory of fuzzy sets, is required. Although
readers in group (b) with little background in the theory of fuzzy
sets may have difficulty with a few sections, they will also find
enough in this monograph to support an intuitive grasp of this new
concept of fuzzy information retrieval. Chapter 4 provides fuzzy
retrieval without the use of mathematical symbols. Also, fuzzy
graphs will serve as an aid to the intuitive understanding of fuzzy
relations."
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