Uncertainty Theory: An Introduction to its Axiomatic Foundations
Uncertainty Theory studies the behavior of random, fuzzy and rough events and is the generic name of probability theory, credibility theory, and trust theory. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the reader...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Series: | Studies in Fuzziness and Soft Computing
154 |
| Subjects: | |
| Online Access: | BTU01 FHI01 Volltext |
| Summary: | Uncertainty Theory studies the behavior of random, fuzzy and rough events and is the generic name of probability theory, credibility theory, and trust theory. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers and students in the field of applied mathematics, operations research, statistics, industrial engineering, information science and management science will find this work a stimulating and useful reference |
| Physical Description: | 1 Online-Ressource (XI, 411 p) |
| ISBN: | 9783540399872 |
| DOI: | 10.1007/978-3-540-39987-2 |
Staff View
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045149175 | ||
| 003 | DE-604 | ||
| 005 | 20200303 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180827s2004 |||| o||u| ||||||eng d | ||
| 020 | |a 9783540399872 |9 978-3-540-39987-2 | ||
| 024 | 7 | |a 10.1007/978-3-540-39987-2 |2 doi | |
| 035 | |a (ZDB-2-ENG)978-3-540-39987-2 | ||
| 035 | |a (OCoLC)1050946990 | ||
| 035 | |a (DE-599)BVBBV045149175 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-634 | ||
| 082 | 0 | |a 519 |2 23 | |
| 100 | 1 | |a Liu, Baoding |d 1965- |e Verfasser |0 (DE-588)12374539X |4 aut | |
| 245 | 1 | 0 | |a Uncertainty Theory |b An Introduction to its Axiomatic Foundations |c by Baoding Liu |
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2004 | |
| 300 | |a 1 Online-Ressource (XI, 411 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 154 | |
| 520 | |a Uncertainty Theory studies the behavior of random, fuzzy and rough events and is the generic name of probability theory, credibility theory, and trust theory. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers and students in the field of applied mathematics, operations research, statistics, industrial engineering, information science and management science will find this work a stimulating and useful reference | ||
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Appl.Mathematics/Computational Methods of Engineering | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Optimization | |
| 650 | 4 | |a Operations Research, Management Science | |
| 650 | 4 | |a Probability Theory and Stochastic Processes | |
| 650 | 4 | |a Operation Research/Decision Theory | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Operations research | |
| 650 | 4 | |a Decision making | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Management science | |
| 650 | 4 | |a Probabilities | |
| 650 | 4 | |a Applied mathematics | |
| 650 | 4 | |a Engineering mathematics | |
| 650 | 0 | 7 | |a Wahrscheinlichkeitstheorie |0 (DE-588)4079013-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mathematisches Modell |0 (DE-588)4114528-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ungewissheit |0 (DE-588)4137198-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Axiomatik |0 (DE-588)4004038-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Grobmenge |0 (DE-588)4362502-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Fuzzy-Menge |0 (DE-588)4061868-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Fuzzy-Menge |0 (DE-588)4061868-7 |D s |
| 689 | 0 | 1 | |a Grobmenge |0 (DE-588)4362502-2 |D s |
| 689 | 0 | 2 | |a Axiomatik |0 (DE-588)4004038-0 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Ungewissheit |0 (DE-588)4137198-7 |D s |
| 689 | 1 | 1 | |a Mathematisches Modell |0 (DE-588)4114528-8 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 689 | 2 | 0 | |a Wahrscheinlichkeitstheorie |0 (DE-588)4079013-7 |D s |
| 689 | 2 | 1 | |a Axiomatik |0 (DE-588)4004038-0 |D s |
| 689 | 2 | |8 3\p |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783662132623 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-540-39987-2 |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:BVB01-030538874 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u https://doi.org/10.1007/978-3-540-39987-2 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-540-39987-2 |l FHI01 |p ZDB-2-ENG |q ZDB-2-ENG_2000/2004 |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1804178820505272320 |
|---|---|
| any_adam_object | |
| author | Liu, Baoding 1965- |
| author_GND | (DE-588)12374539X |
| author_facet | Liu, Baoding 1965- |
| author_role | aut |
| author_sort | Liu, Baoding 1965- |
| author_variant | b l bl |
| building | Verbundindex |
| bvnumber | BV045149175 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-3-540-39987-2 (OCoLC)1050946990 (DE-599)BVBBV045149175 |
| dewey-full | 519 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519 |
| dewey-search | 519 |
| dewey-sort | 3519 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-540-39987-2 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03853nmm a2200805zcb4500</leader><controlfield tag="001">BV045149175</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20200303 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180827s2004 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783540399872</subfield><subfield code="9">978-3-540-39987-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-540-39987-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-3-540-39987-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1050946990</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045149175</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">519</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Baoding</subfield><subfield code="d">1965-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)12374539X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Uncertainty Theory</subfield><subfield code="b">An Introduction to its Axiomatic Foundations</subfield><subfield code="c">by Baoding Liu</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin, Heidelberg</subfield><subfield code="b">Springer Berlin Heidelberg</subfield><subfield code="c">2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XI, 411 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">154</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Uncertainty Theory studies the behavior of random, fuzzy and rough events and is the generic name of probability theory, credibility theory, and trust theory. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers and students in the field of applied mathematics, operations research, statistics, industrial engineering, information science and management science will find this work a stimulating and useful reference</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Appl.Mathematics/Computational Methods of Engineering</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">Optimization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Operations Research, Management Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probability Theory and Stochastic Processes</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">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">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical optimization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Management science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probabilities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Applied mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering mathematics</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wahrscheinlichkeitstheorie</subfield><subfield code="0">(DE-588)4079013-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mathematisches Modell</subfield><subfield code="0">(DE-588)4114528-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Ungewissheit</subfield><subfield code="0">(DE-588)4137198-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Axiomatik</subfield><subfield code="0">(DE-588)4004038-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Grobmenge</subfield><subfield code="0">(DE-588)4362502-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Fuzzy-Menge</subfield><subfield code="0">(DE-588)4061868-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Fuzzy-Menge</subfield><subfield code="0">(DE-588)4061868-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Grobmenge</subfield><subfield code="0">(DE-588)4362502-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Axiomatik</subfield><subfield code="0">(DE-588)4004038-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Ungewissheit</subfield><subfield code="0">(DE-588)4137198-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Mathematisches Modell</subfield><subfield code="0">(DE-588)4114528-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Wahrscheinlichkeitstheorie</subfield><subfield code="0">(DE-588)4079013-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Axiomatik</subfield><subfield code="0">(DE-588)4004038-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</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">9783662132623</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-540-39987-2</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:BVB01-030538874</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-39987-2</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><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-39987-2</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></record></collection> |
| id | DE-604.BV045149175 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783540399872 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538874 |
| oclc_num | 1050946990 |
| open_access_boolean | |
| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XI, 411 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_2000/2004 |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Liu, Baoding 1965- Verfasser (DE-588)12374539X aut Uncertainty Theory An Introduction to its Axiomatic Foundations by Baoding Liu Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (XI, 411 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 154 Uncertainty Theory studies the behavior of random, fuzzy and rough events and is the generic name of probability theory, credibility theory, and trust theory. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers and students in the field of applied mathematics, operations research, statistics, industrial engineering, information science and management science will find this work a stimulating and useful reference Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Optimization Operations Research, Management Science Probability Theory and Stochastic Processes Operation Research/Decision Theory Operations research Decision making Artificial intelligence Mathematical optimization Management science Probabilities Applied mathematics Engineering mathematics Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Ungewissheit (DE-588)4137198-7 gnd rswk-swf Axiomatik (DE-588)4004038-0 gnd rswk-swf Grobmenge (DE-588)4362502-2 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 s Grobmenge (DE-588)4362502-2 s Axiomatik (DE-588)4004038-0 s 1\p DE-604 Ungewissheit (DE-588)4137198-7 s Mathematisches Modell (DE-588)4114528-8 s 2\p DE-604 Wahrscheinlichkeitstheorie (DE-588)4079013-7 s 3\p DE-604 Erscheint auch als Druck-Ausgabe 9783662132623 https://doi.org/10.1007/978-3-540-39987-2 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Liu, Baoding 1965- Uncertainty Theory An Introduction to its Axiomatic Foundations Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Optimization Operations Research, Management Science Probability Theory and Stochastic Processes Operation Research/Decision Theory Operations research Decision making Artificial intelligence Mathematical optimization Management science Probabilities Applied mathematics Engineering mathematics Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd Mathematisches Modell (DE-588)4114528-8 gnd Ungewissheit (DE-588)4137198-7 gnd Axiomatik (DE-588)4004038-0 gnd Grobmenge (DE-588)4362502-2 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
| subject_GND | (DE-588)4079013-7 (DE-588)4114528-8 (DE-588)4137198-7 (DE-588)4004038-0 (DE-588)4362502-2 (DE-588)4061868-7 |
| title | Uncertainty Theory An Introduction to its Axiomatic Foundations |
| title_auth | Uncertainty Theory An Introduction to its Axiomatic Foundations |
| title_exact_search | Uncertainty Theory An Introduction to its Axiomatic Foundations |
| title_full | Uncertainty Theory An Introduction to its Axiomatic Foundations by Baoding Liu |
| title_fullStr | Uncertainty Theory An Introduction to its Axiomatic Foundations by Baoding Liu |
| title_full_unstemmed | Uncertainty Theory An Introduction to its Axiomatic Foundations by Baoding Liu |
| title_short | Uncertainty Theory |
| title_sort | uncertainty theory an introduction to its axiomatic foundations |
| title_sub | An Introduction to its Axiomatic Foundations |
| topic | Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Optimization Operations Research, Management Science Probability Theory and Stochastic Processes Operation Research/Decision Theory Operations research Decision making Artificial intelligence Mathematical optimization Management science Probabilities Applied mathematics Engineering mathematics Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd Mathematisches Modell (DE-588)4114528-8 gnd Ungewissheit (DE-588)4137198-7 gnd Axiomatik (DE-588)4004038-0 gnd Grobmenge (DE-588)4362502-2 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
| topic_facet | Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Optimization Operations Research, Management Science Probability Theory and Stochastic Processes Operation Research/Decision Theory Operations research Decision making Artificial intelligence Mathematical optimization Management science Probabilities Applied mathematics Engineering mathematics Wahrscheinlichkeitstheorie Mathematisches Modell Ungewissheit Axiomatik Grobmenge Fuzzy-Menge |
| url | https://doi.org/10.1007/978-3-540-39987-2 |
| work_keys_str_mv | AT liubaoding uncertaintytheoryanintroductiontoitsaxiomaticfoundations |