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001 -Identificacion Principal del registro
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Identificacion Principal del registro
INGC-EBK-000232
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003 -Control Number Identifier
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Control Number Identifier
AR-LpUFI
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005 -LAST MODIFICATION DATE
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LAST MODIFICATION DATE
20160907102058
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007 -CONTROL FIELD
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CONTROL FIELD
cr nn 008mamaa
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008 -CONTROL FIELD
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CONTROL FIELD
130723s2014 gw | s |||| 0|eng d
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020 -INTERNATIONAL STANDARD BOOK NUMBER
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a
International Standard Book Number
9783319016405
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024 -OTHER STANDARD IDENTIFIER
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a
Standard number or code
10.1007/978-3-319-01640-5
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100 -MAIN ENTRY--PERSONAL NAME
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Personal name
Szmidt, Eulalia.
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245 -TITLE STATEMENT
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a
Title
Distances and Similarities in Intuitionistic Fuzzy Sets
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h
Medium
[libro electrónico] /
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c
Statement of responsibility, etc
by Eulalia Szmidt.
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260 -PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
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a
Place of publication, distribution, etc
Cham :
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b
Name of publisher, distributor, etc
Springer International Publishing :
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b
Name of publisher, distributor, etc
Imprint: Springer,
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c
Date of publication, distribution, etc
2014.
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300 -PHYSICAL DESCRIPTION
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490 -SERIES STATEMENT
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a
Series statement
Studies in Fuzziness and Soft Computing,
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International Standard Serial Number
1434-9922 ;
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v
Volume number/sequential designation
307
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505 -FORMATTED CONTENTS NOTE
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a
Formatted contents note
Intuitionistic Fuzzy Sets as a Generalization of Fuzzy Sets -- Distances -- Similarity Measures between Intuitionistic Fuzzy Sets.
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520 -SUMMARY, ETC.
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a
Summary, etc
This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers with a comprehensive set of theoretical concepts and practical tools for both defining and determining similarity between intuitionistic fuzzy sets. It describes an automatic algorithm for deriving intuitionistic fuzzy sets from data, which can aid in the analysis of information in large databases. The book also discusses other important applications, e.g. the use of similarity measures to evaluate the extent of agreement between experts in the context of decision making.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Operations research.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Management science.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Engineering.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Computational Intelligence.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Artificial Intelligence (incl. Robotics).
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856 -ELECTRONIC LOCATION AND ACCESS
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u
Uniform Resource Identifier (R)
http://dx.doi.org/10.1007/978-3-319-01640-5
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942 -Biblioitem information
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929 -Medio de adquisicion
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