MARC details
000 -LEADER |
fixed length control field |
03280nam a22005415i 4500 |
001 - CONTROL NUMBER |
control field |
978-0-387-30262-1 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20170628033301.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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100301s2006 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780387302621 |
-- |
978-0-387-30262-1 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/0-387-30262-X |
Source of number or code |
doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q334-342 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TJ210.2-211.495 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYQ |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TJFM1 |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM004000 |
Source |
bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.3 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Lawry, Jonathan. |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Modelling and Reasoning with Vague Concepts |
Medium |
[electronic resource] / |
Statement of responsibility, etc |
by Jonathan Lawry. |
264 #1 - |
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Boston, MA : |
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Springer US, |
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2006. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXV, 246 p. |
Other physical details |
online resource. |
336 ## - |
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text |
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txt |
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rdacontent |
337 ## - |
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computer |
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c |
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rdamedia |
338 ## - |
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online resource |
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cr |
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rdacarrier |
347 ## - |
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text file |
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PDF |
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rda |
490 1# - SERIES STATEMENT |
Series statement |
Studies in Computational Intelligence, |
International Standard Serial Number |
1860-949X ; |
Volume number/sequential designation |
12 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Vague Concepts and Fuzzy Sets -- Label Semantics -- Multi-Dimensional and Multi-Instance Label Semantics -- Information from Vague Concepts -- Learning Linguistic Models from Data -- Fusing Knowledge and Data -- Non-Additive Appropriateness Measures. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this robustness and flexibility into intelligent computer systems. Such a goal, however, requires a formal model of vague concepts that will allow us to quantify and manipulate the uncertainty resulting from their use as a means of passing information between autonomous agents. This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. The new calculus has many applications, especially in automated reasoning, learning, data analysis and information fusion. This book gives a rigorous introduction to label semantics theory, illustrated with many examples, and suggests clear operational interpretations of the proposed measures. It also provides a detailed description of how the theory can be applied in data analysis and information fusion based on a range of benchmark problems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Optical pattern recognition. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematics. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Systems and Information Theory in Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Pattern Recognition. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information and Communication, Circuits. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Probability and Statistics in Computer Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical Logic and Formal Languages. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9780387290560 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Studies in Computational Intelligence, |
-- |
1860-949X ; |
Volume number/sequential designation |
12 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/0-387-30262-X">http://dx.doi.org/10.1007/0-387-30262-X</a> |
912 ## - |
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ZDB-2-ENG |