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Fuzzy Sets in Information Retrieval and Cluster Analysis
Sadaaki Miyamoto
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Description for Fuzzy Sets in Information Retrieval and Cluster Analysis
Hardback. Series: Theory and Decision Library: D. Num Pages: 264 pages, biography. BIC Classification: PBWX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 17. Weight in Grams: 565.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
1990
Publisher
Kluwer Academic Publishers United States
Number of pages
264
Condition
New
Series
Theory and Decision Library: D
Number of Pages
264
Place of Publication
Dordrecht, Netherlands
ISBN
9780792307211
SKU
V9780792307211
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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