Yasuo Narukawa's Books

Modeling Decisions for Artificial Intelligence

Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings

By: Vicenç Torra,Yasuo Narukawa

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Modeling Decisions for Artificial Intelligence

Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings

By: Vicenç Torra,Yasuo Narukawa

This book constitutes the refereed proceedings of the Second International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005, held in Tsukuba, Japan in July 2005. The 40 revised full papers presented together with an introduction by the editors and 4 invited lectures were thoroughly reviewed and selected from 118 submissions. The papers are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques. Special focus is given to applications related with risk, security and safety.

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481

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Springer Science & Business Media

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ISBN 10

3540278710

ISBN 13

9783540278719

Modeling Decisions

Information Fusion and Aggregation Operators

By: Vicenç Torra,Yasuo Narukawa

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Modeling Decisions

Information Fusion and Aggregation Operators

By: Vicenç Torra,Yasuo Narukawa

This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. It will thus be required reading for engineers, statisticians and computer scientists of all kinds. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations, the authors then cover numerous topics in detail, including the synthesis of judgements, fuzzy measures, weighted means and fuzzy integrals.

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284

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Springer Science & Business Media

Published Date

ISBN 10

3540687912

ISBN 13

9783540687917

Topics in Rough Set Theory

Current Applications to Granular Computing

By: Seiki Akama,Yasuo Kudo,Tetsuya Murai

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Topics in Rough Set Theory

Current Applications to Granular Computing

By: Seiki Akama,Yasuo Kudo,Tetsuya Murai

This book discusses current topics in rough set theory. Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.

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Page Count

208

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Springer Nature

Published Date

ISBN 10

3030295664

ISBN 13

9783030295660

Modeling Decisions

Information Fusion and Aggregation Operators

By: Vicenç Torra,Yasuo Narukawa

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Modeling Decisions

Information Fusion and Aggregation Operators

By: Vicenç Torra,Yasuo Narukawa

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284

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Springer Science & Business Media

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ISBN 10

3540687912

ISBN 13

9783540687917

Modeling Decisions for Artificial Intelligence

6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings

By: Yasuo Narukawa,Masahiro Inuiguchi

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Modeling Decisions for Artificial Intelligence

6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings

By: Yasuo Narukawa,Masahiro Inuiguchi

This volume contains papers presented at the 6th International Conference on ModelingDecisionsforArti?cialIntelligence(MDAI2009),heldinAwajiIsland, Japan, November 30 – December 2, 2009. This conference followed MDAI 2004 (Barcelona, Catalonia), MDAI 2005 (Tsukuba, Japan), MDAI 2006 (Tarragona, Catalonia), MDAI 2007 (Kitakyushu, Japan), and MDAI 2008 (Sabadell, C- alonia) with proceedings also published in the LNAI series (Vols. 3131, 3558, 3885, 4617, and 5285). The aim of this conference was to provide a forum for researchers to d- cuss the theory and tools for modeling decisions, as well as applications that encompass decision-making processes and information-fusion techniques. The organizers received 61 papers from 15 di?erent countries, from Asia, Europe,andAmerica,28ofwhicharepublishedinthis volume.Eachsubmission received at least two reviews from the Program Committee and a few external reviewers. We would like to express our gratitude to them for their work. The plenary talks presented at the conference are also included in this volume. The conference was supported by the Commemorative Organization for The JapanWorldExposition'70,the TsutomuNakauchiFoundation,HyogoInter- tional Association, the Institute of Systems, Control and Information Engineers (ISCIE),the OperationsResearchSocietyofJapan(ORSJ),the UNESCO Chair in Data Privacy, the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), the Catalan Association for Arti?cial Intelligence (ACIA), the Eu- pean Society for Fuzzy Logic and Technology (EUSFLAT), and the Spanish MEC (ARES - CONSOLIDER INGENIO 2010 CSD2007-00004).

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382

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Springer Science & Business Media

Published Date

ISBN 10

3642048196

ISBN 13

9783642048197

Modeling Decisions for Artificial Intelligence

4th International Conference, MDAI 2007, Kitakyushu, Japan, August 16-18, 2007, Proceedings

By: Vicenç Torra

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Modeling Decisions for Artificial Intelligence

4th International Conference, MDAI 2007, Kitakyushu, Japan, August 16-18, 2007, Proceedings

By: Vicenç Torra

Decision modeling is a key area in the developing field of AI, and this timely work connects researchers and professionals with the very latest research. It constitutes the refereed proceedings of the 4th International Conference on Modeling Decisions for Artificial Intelligence, held in Kitakyushu, Japan, in August 2007. The 42 revised full papers presented together with 4 invited lectures are devoted to theory and tools, as well as applications.

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511

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Springer Science & Business Media

Published Date

ISBN 10

3540737286

ISBN 13

9783540737285

Modeling Decisions for Artificial Intelligence

Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings

By: Yasuo Narukawa,Sadaaki Miyamoto

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Modeling Decisions for Artificial Intelligence

Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings

By: Yasuo Narukawa,Sadaaki Miyamoto

This volume contains papers presented at the 2nd International Conference on Modeling Decisions for Arti?cial Intelligence (MDAI 2005), held in Tsukuba, Japan, July 25–27. This conference follows MDAI 2004 (held in Barcelona, Catalonia, Spain), the proceedings of which were also published in the LNAI series (Vol. 3131). The aim of this conference was to provide a forum for researchers to discuss about theory and tools for modeling decisions, as well as applications that - compass decision-making processes and information fusion techniques. In this second edition, special focus was given to applications related to risk, security and safety. The organizers received 118 papers, from 14 di?erent countries, 40 of which are published in this volume. Each submission received at least two reviews from the Program Committee and a few external reviewers. We would like to express our gratitude to them for their work. The plenary talks presented at the conference are also included in this volume. The conference was supported by the Department of Risk Engineering of the University of Tsukuba, the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), the Catalan Association for Arti?cial Intelligence (ACIA), the European Society for Fuzzy Logic and Technology (EUSFLAT) and the Generalitat de Catalunya (AGAUR 2004XT 0004).

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481

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Springer

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ISBN 10

3540318836

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9783540318835

Book's by Yasuo Narukawa

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

Modeling Decisions

Modeling Decisions

Topics in Rough Set Theory

Topics in Rough Set Theory

Modeling Decisions

Modeling Decisions

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

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