Similarity and Compatibility in Fuzzy Set Theory: Assessment and Applications
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...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2002
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
93 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XI, 209 p) |
| ISBN: | 9783790817935 |
| DOI: | 10.1007/978-3-7908-1793-5 |
Internformat
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| author | Cross, Valerie V. Sudkamp, Thomas A. |
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| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-7908-1793-5 |
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| id | DE-604.BV045149543 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790817935 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030539241 |
| oclc_num | 1050947820 |
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| physical | 1 Online-Ressource (XI, 209 p) |
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| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Cross, Valerie V. Verfasser aut Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications by Valerie V. Cross, Thomas A. Sudkamp Heidelberg Physica-Verlag HD 2002 1 Online-Ressource (XI, 209 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 93 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 Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Data structures (Computer science) Artificial intelligence Discrete mathematics Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 s 1\p DE-604 Sudkamp, Thomas A. aut Erscheint auch als Druck-Ausgabe 9783790825077 https://doi.org/10.1007/978-3-7908-1793-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cross, Valerie V. Sudkamp, Thomas A. Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Data structures (Computer science) Artificial intelligence Discrete mathematics Fuzzy-Logik (DE-588)4341284-1 gnd |
| subject_GND | (DE-588)4341284-1 |
| title | Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications |
| title_auth | Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications |
| title_exact_search | Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications |
| title_full | Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications by Valerie V. Cross, Thomas A. Sudkamp |
| title_fullStr | Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications by Valerie V. Cross, Thomas A. Sudkamp |
| title_full_unstemmed | Similarity and Compatibility in Fuzzy Set Theory Assessment and Applications by Valerie V. Cross, Thomas A. Sudkamp |
| title_short | Similarity and Compatibility in Fuzzy Set Theory |
| title_sort | similarity and compatibility in fuzzy set theory assessment and applications |
| title_sub | Assessment and Applications |
| topic | Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Data structures (Computer science) Artificial intelligence Discrete mathematics Fuzzy-Logik (DE-588)4341284-1 gnd |
| topic_facet | Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Data structures (Computer science) Artificial intelligence Discrete mathematics Fuzzy-Logik |
| url | https://doi.org/10.1007/978-3-7908-1793-5 |
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