|
|
|
|
| LEADER |
03645nam a2200529 4500 |
| 001 |
978-3-7908-1793-5 |
| 003 |
DE-He213 |
| 005 |
20191027141557.0 |
| 007 |
cr nn 008mamaa |
| 008 |
130501s2002 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783790817935
|9 978-3-7908-1793-5
|
| 024 |
7 |
|
|a 10.1007/978-3-7908-1793-5
|2 doi
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a QA150-272
|
| 072 |
|
7 |
|a PBD
|2 bicssc
|
| 072 |
|
7 |
|a MAT008000
|2 bisacsh
|
| 072 |
|
7 |
|a PBD
|2 thema
|
| 082 |
0 |
4 |
|a 511.1
|2 23
|
| 100 |
1 |
|
|a Cross, Valerie V.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 245 |
1 |
0 |
|a Similarity and Compatibility in Fuzzy Set Theory
|h [electronic resource] :
|b Assessment and Applications /
|c by Valerie V. Cross, Thomas A. Sudkamp.
|
| 250 |
|
|
|a 1st ed. 2002.
|
| 264 |
|
1 |
|a Heidelberg :
|b Physica-Verlag HD :
|b Imprint: Physica,
|c 2002.
|
| 300 |
|
|
|a XI, 209 p.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 93
|
| 505 |
0 |
|
|a 1. Introduction -- 2. The Nature of Similarity -- 3. Historic Assessment of Compatibility -- 4. Foundations of Fuzzy Set Theory -- 5. Compatibility in Fuzzy Inference -- 6. Compatibility in Approximate Reasoning -- 7. Set-Theoretic Measures -- 8. Proximity-Based Measures -- 9. Logic-Based Measures -- 10. Fuzzy-Valued Similarity Measures -- 11. Generic Classification Domain -- 12. Set-Theoretic Comparative Study -- 13. Proximity-Based Comparative Study -- 14. Logic-Based Comparative Study -- 15. Comparison Among the Three Classes -- Index of Notation -- References.
|
| 520 |
|
|
|a Assessing the degree to which two objects, an object and a query, or two concepts are similar or compatible is a fundamental component of human reasoning and consequently is critical in the development of automated diagnosis, classification, information retrieval and decision systems. The assessment of similarity has played an important role in such diverse disciplines such as taxonomy, psychology, and the social sciences. Each discipline has proposed methods for quantifying similarity judgments suitable for its particular applications. This book presents a unified approach to quantifying similarity and compatibility within the framework of fuzzy set theory and examines the primary importance of these concepts in approximate reasoning. Examples of the application of similarity measures in various areas including expert systems, information retrieval, and intelligent database systems are provided.
|
| 650 |
|
0 |
|a Discrete mathematics.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Data structures (Computer science).
|
| 650 |
1 |
4 |
|a Discrete Mathematics.
|0 http://scigraph.springernature.com/things/product-market-codes/M29000
|
| 650 |
2 |
4 |
|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
|
| 650 |
2 |
4 |
|a Data Structures and Information Theory.
|0 http://scigraph.springernature.com/things/product-market-codes/I15009
|
| 700 |
1 |
|
|a Sudkamp, Thomas A.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783790825077
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783790814583
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783662003244
|
| 830 |
|
0 |
|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 93
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-7908-1793-5
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-ENG
|
| 912 |
|
|
|a ZDB-2-BAE
|
| 950 |
|
|
|a Engineering (Springer-11647)
|
