Uncertainty Models for Knowledge-based Systems

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Release : 1985
Genre : Computers
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Book Rating : /5 ( reviews)

Uncertainty Models for Knowledge-based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Models for Knowledge-based Systems write by Irwin R. Goodman. This book was released on 1985. Uncertainty Models for Knowledge-based Systems available in PDF, EPUB and Kindle.

Uncertainty and Vagueness in Knowledge Based Systems

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Release : 2012-12-06
Genre : Computers
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Book Rating : 028/5 ( reviews)

Uncertainty and Vagueness in Knowledge Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty and Vagueness in Knowledge Based Systems write by Rudolf Kruse. This book was released on 2012-12-06. Uncertainty and Vagueness in Knowledge Based Systems available in PDF, EPUB and Kindle. The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. It puts particular emphasis on a thorough analysis of these phenomena and on the development of sound mathematical modeling approaches. Beyond this theoretical basis the scope of the book includes also implementational aspects and a valuation of existing models and systems. The fundamental ambition of this book is to show that vagueness and un certainty can be handled adequately by using measure-theoretic methods. The presentation of applicable knowledge representation formalisms and reasoning algorithms substantiates the claim that efficiency requirements do not necessar ily require renunciation of an uncompromising mathematical modeling. These results are used to evaluate systems based on probabilistic methods as well as on non-standard concepts such as certainty factors, fuzzy sets or belief functions. The book is intended to be self-contained and addresses researchers and practioneers in the field of knowledge based systems. It is in particular suit able as a textbook for graduate-level students in AI, operations research and applied probability. A solid mathematical background is necessary for reading this book. Essential parts of the material have been the subject of courses given by the first author for students of computer science and mathematics held since 1984 at the University in Braunschweig.

Uncertainty in Knowledge-Based Systems

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Release : 1987-11-04
Genre : Computers
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Book Rating : 796/5 ( reviews)

Uncertainty in Knowledge-Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty in Knowledge-Based Systems write by Bernadette Bouchon-Meunier. This book was released on 1987-11-04. Uncertainty in Knowledge-Based Systems available in PDF, EPUB and Kindle.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

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Release : 2018-05-30
Genre : Computers
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Book Rating : 731/5 ( reviews)

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations write by Jesús Medina. This book was released on 2018-05-30. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations available in PDF, EPUB and Kindle. This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications

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Release : 2018-05-29
Genre : Computers
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Book Rating : 790/5 ( reviews)

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications write by Jesús Medina. This book was released on 2018-05-29. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications available in PDF, EPUB and Kindle. This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).