Interpretability Issues in Fuzzy Modeling:
Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades h...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
128 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models |
| Beschreibung: | 1 Online-Ressource (XIV, 643 p) |
| ISBN: | 9783540370574 |
| DOI: | 10.1007/978-3-540-37057-4 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045149151 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180827s2003 |||| o||u| ||||||eng d | ||
| 020 | |a 9783540370574 |9 978-3-540-37057-4 | ||
| 024 | 7 | |a 10.1007/978-3-540-37057-4 |2 doi | |
| 035 | |a (ZDB-2-ENG)978-3-540-37057-4 | ||
| 035 | |a (OCoLC)1050938521 | ||
| 035 | |a (DE-599)BVBBV045149151 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-634 | ||
| 082 | 0 | |a 620 |2 23 | |
| 245 | 1 | 0 | |a Interpretability Issues in Fuzzy Modeling |c edited by Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena |
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2003 | |
| 300 | |a 1 Online-Ressource (XIV, 643 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 128 | |
| 520 | |a Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models | ||
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Complexity | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Economic Theory/Quantitative Economics/Mathematical Methods | |
| 650 | 4 | |a Operation Research/Decision Theory | |
| 650 | 4 | |a IT in Business | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Operations research | |
| 650 | 4 | |a Decision making | |
| 650 | 4 | |a Information technology | |
| 650 | 4 | |a Business / Data processing | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Complexity, Computational | |
| 650 | 4 | |a Economic theory | |
| 700 | 1 | |a Casillas, Jorge |4 edt | |
| 700 | 1 | |a Cordón, Oscar |4 edt | |
| 700 | 1 | |a Herrera, Francisco |4 edt | |
| 700 | 1 | |a Magdalena, Luis |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783642057021 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-540-37057-4 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 940 | 1 | |q ZDB-2-ENG_2000/2004 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030538850 | ||
| 966 | e | |u https://doi.org/10.1007/978-3-540-37057-4 |l FHI01 |p ZDB-2-ENG |q ZDB-2-ENG_2000/2004 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-540-37057-4 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178820378394624 |
|---|---|
| any_adam_object | |
| author2 | Casillas, Jorge Cordón, Oscar Herrera, Francisco Magdalena, Luis |
| author2_role | edt edt edt edt |
| author2_variant | j c jc o c oc f h fh l m lm |
| author_facet | Casillas, Jorge Cordón, Oscar Herrera, Francisco Magdalena, Luis |
| building | Verbundindex |
| bvnumber | BV045149151 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-3-540-37057-4 (OCoLC)1050938521 (DE-599)BVBBV045149151 |
| dewey-full | 620 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620 |
| dewey-search | 620 |
| dewey-sort | 3620 |
| dewey-tens | 620 - Engineering and allied operations |
| doi_str_mv | 10.1007/978-3-540-37057-4 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03092nmm a2200589zcb4500</leader><controlfield tag="001">BV045149151</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180827s2003 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783540370574</subfield><subfield code="9">978-3-540-37057-4</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-540-37057-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-3-540-37057-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1050938521</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045149151</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">620</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Interpretability Issues in Fuzzy Modeling</subfield><subfield code="c">edited by Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin, Heidelberg</subfield><subfield code="b">Springer Berlin Heidelberg</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIV, 643 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Studies in Fuzziness and Soft Computing</subfield><subfield code="v">128</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence (incl. Robotics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economic Theory/Quantitative Economics/Mathematical Methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Operation Research/Decision Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">IT in Business</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Operations research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Decision making</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business / Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complexity, Computational</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economic theory</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Casillas, Jorge</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cordón, Oscar</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Herrera, Francisco</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Magdalena, Luis</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9783642057021</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-540-37057-4</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030538850</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-37057-4</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-37057-4</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045149151 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783540370574 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538850 |
| oclc_num | 1050938521 |
| open_access_boolean | |
| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XIV, 643 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Interpretability Issues in Fuzzy Modeling edited by Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XIV, 643 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 128 Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models Engineering Complexity Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory IT in Business Operations research Decision making Information technology Business / Data processing Artificial intelligence Complexity, Computational Economic theory Casillas, Jorge edt Cordón, Oscar edt Herrera, Francisco edt Magdalena, Luis edt Erscheint auch als Druck-Ausgabe 9783642057021 https://doi.org/10.1007/978-3-540-37057-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Interpretability Issues in Fuzzy Modeling Engineering Complexity Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory IT in Business Operations research Decision making Information technology Business / Data processing Artificial intelligence Complexity, Computational Economic theory |
| title | Interpretability Issues in Fuzzy Modeling |
| title_auth | Interpretability Issues in Fuzzy Modeling |
| title_exact_search | Interpretability Issues in Fuzzy Modeling |
| title_full | Interpretability Issues in Fuzzy Modeling edited by Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena |
| title_fullStr | Interpretability Issues in Fuzzy Modeling edited by Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena |
| title_full_unstemmed | Interpretability Issues in Fuzzy Modeling edited by Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena |
| title_short | Interpretability Issues in Fuzzy Modeling |
| title_sort | interpretability issues in fuzzy modeling |
| topic | Engineering Complexity Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory IT in Business Operations research Decision making Information technology Business / Data processing Artificial intelligence Complexity, Computational Economic theory |
| topic_facet | Engineering Complexity Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory IT in Business Operations research Decision making Information technology Business / Data processing Artificial intelligence Complexity, Computational Economic theory |
| url | https://doi.org/10.1007/978-3-540-37057-4 |
| work_keys_str_mv | AT casillasjorge interpretabilityissuesinfuzzymodeling AT cordonoscar interpretabilityissuesinfuzzymodeling AT herrerafrancisco interpretabilityissuesinfuzzymodeling AT magdalenaluis interpretabilityissuesinfuzzymodeling |