Fuzzy Database Modeling:
Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relat...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Heidelberg
Physica-Verlag HD
1999
|
Schriftenreihe: | Studies in Fuzziness and Soft Computing
26 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book |
Beschreibung: | 1 Online-Ressource (XIV, 234 p) |
ISBN: | 9783790818802 |
DOI: | 10.1007/978-3-7908-1880-2 |
Internformat
MARC
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520 | |a Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book | ||
650 | 4 | |a Computer Science | |
650 | 4 | |a Data Structures, Cryptology and Information Theory | |
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Datensatz im Suchindex
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any_adam_object | |
author | Yazici, Adnan George, Roy |
author_facet | Yazici, Adnan George, Roy |
author_role | aut aut |
author_sort | Yazici, Adnan |
author_variant | a y ay r g rg |
building | Verbundindex |
bvnumber | BV045185654 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-3-7908-1880-2 (OCoLC)1053814558 (DE-599)BVBBV045185654 |
dewey-full | 005.74 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.74 |
dewey-search | 005.74 |
dewey-sort | 15.74 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-7908-1880-2 |
format | Electronic eBook |
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id | DE-604.BV045185654 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:55Z |
institution | BVB |
isbn | 9783790818802 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574832 |
oclc_num | 1053814558 |
open_access_boolean | |
owner | DE-634 |
owner_facet | DE-634 |
physical | 1 Online-Ressource (XIV, 234 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 1999 |
publishDateSearch | 1999 |
publishDateSort | 1999 |
publisher | Physica-Verlag HD |
record_format | marc |
series2 | Studies in Fuzziness and Soft Computing |
spelling | Yazici, Adnan Verfasser aut Fuzzy Database Modeling by Adnan Yazici, Roy George Heidelberg Physica-Verlag HD 1999 1 Online-Ressource (XIV, 234 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 26 Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book Computer Science Data Structures, Cryptology and Information Theory Mathematical Logic and Foundations Simulation and Modeling Artificial Intelligence (incl. Robotics) Database Management IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Database management Artificial intelligence Computer simulation Mathematical logic Datenbanksystem (DE-588)4113276-2 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf FUZZY Programmiersprache (DE-588)4431650-1 gnd rswk-swf Datenbank (DE-588)4011119-2 gnd rswk-swf FUZZY Programmiersprache (DE-588)4431650-1 s Datenbank (DE-588)4011119-2 s 1\p DE-604 Datenbanksystem (DE-588)4113276-2 s Fuzzy-Logik (DE-588)4341284-1 s 2\p DE-604 George, Roy aut Erscheint auch als Druck-Ausgabe 9783662118092 https://doi.org/10.1007/978-3-7908-1880-2 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Yazici, Adnan George, Roy Fuzzy Database Modeling Computer Science Data Structures, Cryptology and Information Theory Mathematical Logic and Foundations Simulation and Modeling Artificial Intelligence (incl. Robotics) Database Management IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Database management Artificial intelligence Computer simulation Mathematical logic Datenbanksystem (DE-588)4113276-2 gnd Fuzzy-Logik (DE-588)4341284-1 gnd FUZZY Programmiersprache (DE-588)4431650-1 gnd Datenbank (DE-588)4011119-2 gnd |
subject_GND | (DE-588)4113276-2 (DE-588)4341284-1 (DE-588)4431650-1 (DE-588)4011119-2 |
title | Fuzzy Database Modeling |
title_auth | Fuzzy Database Modeling |
title_exact_search | Fuzzy Database Modeling |
title_full | Fuzzy Database Modeling by Adnan Yazici, Roy George |
title_fullStr | Fuzzy Database Modeling by Adnan Yazici, Roy George |
title_full_unstemmed | Fuzzy Database Modeling by Adnan Yazici, Roy George |
title_short | Fuzzy Database Modeling |
title_sort | fuzzy database modeling |
topic | Computer Science Data Structures, Cryptology and Information Theory Mathematical Logic and Foundations Simulation and Modeling Artificial Intelligence (incl. Robotics) Database Management IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Database management Artificial intelligence Computer simulation Mathematical logic Datenbanksystem (DE-588)4113276-2 gnd Fuzzy-Logik (DE-588)4341284-1 gnd FUZZY Programmiersprache (DE-588)4431650-1 gnd Datenbank (DE-588)4011119-2 gnd |
topic_facet | Computer Science Data Structures, Cryptology and Information Theory Mathematical Logic and Foundations Simulation and Modeling Artificial Intelligence (incl. Robotics) Database Management IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Database management Artificial intelligence Computer simulation Mathematical logic Datenbanksystem Fuzzy-Logik FUZZY Programmiersprache Datenbank |
url | https://doi.org/10.1007/978-3-7908-1880-2 |
work_keys_str_mv | AT yaziciadnan fuzzydatabasemodeling AT georgeroy fuzzydatabasemodeling |