Fuzzy Sets in Information Retrieval and Cluster Analysis

Name: Fuzzy Sets in Information Retrieval and Cluster Analysis
Brand: Springer
SKU: 9780792307211
Price: 162.98 EUR
Availability: InStock

Autor: S. Miyamoto

Jazyk:

Väzba: Pevná

Vydavateľ: Springer

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 13-18 dní

162.98 €

The present monograph intends to establish a solid link among three fields: fuzzy set theory, inform...

Informácie o knihe

Autor

S. Miyamoto

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

1990

Stránok

264

EAN

9780792307211

ISBN

0792307216

Enbook ID

01392968

Vydavateľ

Springer

Hmotnosť

1250

Rozmery

156 x 234 x 19

Kompletný popis

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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Fuzzy Sets in Information Retrieval and Cluster Analysis

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