A Methodology For Uncertainty In Knowledge Based Systems
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A Methodology for Uncertainty in Knowledge Based Systems
Author | : Kurt Weichselberger,Sigrid Pöhlmann |
Publsiher | : Lecture Notes in Artificial Intelligence |
Total Pages | : 154 |
Release | : 1990-03-07 |
Genre | : Computers |
ISBN | : UOM:39015017992135 |
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In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.
A Methodology for Uncertainty in Knowledge Based Systems
Author | : Kurt Weichselberger,Sigrid Pohlmann |
Publsiher | : Unknown |
Total Pages | : 320 |
Release | : 2014-01-15 |
Genre | : Electronic Book |
ISBN | : 366217085X |
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Uncertainty and Vagueness in Knowledge Based Systems
Author | : Rudolf Kruse,Erhard Schwecke,Jochen Heinsohn |
Publsiher | : Springer Science & Business Media |
Total Pages | : 495 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 9783642767029 |
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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.
Information Processing and Management of Uncertainty in Knowledge Based Systems
Author | : Davide Ciucci,Inés Couso,Jesús Medina,Dominik Ślęzak,Davide Petturiti,Bernadette Bouchon-Meunier,Ronald R. Yager |
Publsiher | : Springer Nature |
Total Pages | : 807 |
Release | : 2022-07-04 |
Genre | : Computers |
ISBN | : 9783031089749 |
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This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability and explainability in AI; weak and cautious supervised learning.
Uncertainty Models for Knowledge based Systems
Author | : Irwin R. Goodman,Hung T. Nguyen |
Publsiher | : North Holland |
Total Pages | : 674 |
Release | : 1985 |
Genre | : Computers |
ISBN | : UOM:39015009806368 |
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Information Processing and Management of Uncertainty in Knowledge Based Systems
Author | : Joao Paulo Carvalho,Marie-Jeanne Lesot,Uzay Kaymak,Susana Vieira,Bernadette Bouchon-Meunier,Ronald R. Yager |
Publsiher | : Springer |
Total Pages | : 738 |
Release | : 2016-06-10 |
Genre | : Computers |
ISBN | : 9783319405964 |
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This two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016. The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspects of data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation.
Information Processing and Management of Uncertainty in Knowledge Based Systems Applications
Author | : Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,Irina Perfilieva,Bernadette Bouchon-Meunier,Ronald R. Yager |
Publsiher | : Springer |
Total Pages | : 773 |
Release | : 2018-05-29 |
Genre | : Computers |
ISBN | : 9783319914794 |
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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).
Uncertainty in Knowledge Based Systems
Author | : Bernadette Bouchon-Meunier,Bernadette Bouchon,Ronald R. Yager |
Publsiher | : Springer Science & Business Media |
Total Pages | : 420 |
Release | : 1987-11-04 |
Genre | : Computers |
ISBN | : 3540185798 |
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