Incomplete Information: Rough Set Analysis, Ewa Orlowska

Автор: Ewa Orlowska
Название: Incomplete Information: Rough Set Analysis
ISBN: 3790824577 ISBN-13(EAN): 9783790824575
Издательство: Springer
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Описание: In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information.

Автор: Stephane P. Demri; Ewa Orlowska
Название: Incomplete Information: Structure, Inference, Complexity
ISBN: 3642075401 ISBN-13(EAN): 9783642075407
Издательство: Springer
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Описание: This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The formalisms developed are non-invasive in that only the actual information that is needed in the process of analysis without external sources of information being required.

Автор: Wolfgang Ryll
Название: Litigation and Settlement in a Game with Incomplete Information
ISBN: 3540613048 ISBN-13(EAN): 9783540613046
Издательство: Springer
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Цена: 10760.00 р.
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Описание: We can distinguish between games which focus on strategic elements like games with incomplete information (see, for example, P`ng (1983), Samuelson (1982) and Schweizer (1989" and decision-theoretic models neglecting strategic elements (see, for example, Landes (1971) and Gould (1973".

Автор: Janos Fodor; Bernard De Baets; Patrice Perny
Название: Preferences and Decisions under Incomplete Knowledge
ISBN: 3790813036 ISBN-13(EAN): 9783790813036
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Decision problems are pervaded with incomplete knowledge - imprecision and/or uncertain information, both in the problem description and in the preferential information. This volume addresses various theoretical and practical aspects related to the handling of this incompleteness.

Автор: Janos Fodor; Bernard De Baets; Patrice Perny
Название: Preferences and Decisions under Incomplete Knowledge
ISBN: 3790824747 ISBN-13(EAN): 9783790824742
Издательство: Springer
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Описание: Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information.

Автор: Ning Zhong; Jiming Liu
Название: Intelligent Technologies for Information Analysis
ISBN: 3642073786 ISBN-13(EAN): 9783642073786
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Intelligent Information Technology (iiT) encompasses the theories and ap- plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com- puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par- ticular, advances in agents, data mining, and learning theory, from both the- oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur- vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession- als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in- telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

Автор: Masoud Nikravesh; Lofti A. Zadeh
Название: Soft Computing for Information Processing and Analysis
ISBN: 3642061818 ISBN-13(EAN): 9783642061813
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Описание: This carefully edited book has evolved from presentations made by the participants of a meeting entitled "Fuzzy Logic and the Internet: Enhancing the Power of the Internet", organized by the Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley.

Автор: S. Miyamoto
Название: Fuzzy Sets in Information Retrieval and Cluster Analysis
ISBN: 0792307216 ISBN-13(EAN): 9780792307211
Издательство: Springer
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Цена: 32144.00 р.
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Описание: The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis.

Автор: Chuan Shi; Philip S. Yu
Название: Heterogeneous Information Network Analysis and Applications
ISBN: 3319562118 ISBN-13(EAN): 9783319562117
Издательство: Springer
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Описание: This information will help researchers to understand how to analyze networked data with heterogeneous information networks.