Uncertain Information Processing In Expert Systems PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Uncertain Information Processing In Expert Systems PDF full book. Access full book title Uncertain Information Processing In Expert Systems.

Uncertain Information Processing In Expert Systems

Uncertain Information Processing In Expert Systems
Author: Petr Hajek
Publisher: CRC Press
Total Pages: 310
Release: 1992-06-29
Genre: Computers
ISBN: 9780849363689

Download Uncertain Information Processing In Expert Systems Book in PDF, ePub and Kindle

Uncertain Information Processing in Expert Systems systematically and critically examines probabilistic and rule-based (compositional, MYCIN-like) systems, the two most important families of expert systems dealing with uncertainty. The book features a detailed introduction to probabilistic systems (including methods using graphical models and methods of knowledge integration), an analysis of compositional systems based on algebraic considerations, an application of graphical models, and the Dempster-Shafer theory of evidence and its use in expert systems. The book will be useful to anyone working in artificial intelligence, statistical computing, symbolic logic, and expert systems.


Uncertainty and Intelligent Information Systems

Uncertainty and Intelligent Information Systems
Author: Ronald R. Yager
Publisher: World Scientific
Total Pages: 537
Release: 2008
Genre: Computers
ISBN: 981279235X

Download Uncertainty and Intelligent Information Systems Book in PDF, ePub and Kindle

Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.


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

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Author: Jesús Medina
Publisher: Springer
Total Pages: 835
Release: 2018-05-30
Genre: Computers
ISBN: 3319914731

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

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications
Author: Jesús Medina
Publisher: Springer
Total Pages: 773
Release: 2018-05-29
Genre: Computers
ISBN: 3319914790

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


Expert Systems

Expert Systems
Author: Ian Graham
Publisher: Chapman & Hall
Total Pages: 394
Release: 1988
Genre: Computers
ISBN:

Download Expert Systems Book in PDF, ePub and Kindle

A review of the present state of knowledge engineering, drawing together underlying theory from related disciplines, with particular attention to fuzzy logics, the theory of fuzzy sets, and decision support systems, along with practical applications. For managers wishing to evaluate expert decision systems, for systems designers and knowledge engineers, and for advanced undergraduate and graduate students in computer science. Many charts, diagrams, tables, and logical or mathematical formulas; extensive references. Annotation copyrighted by Book News, Inc., Portland, OR


Uncertainty and Intelligent Systems

Uncertainty and Intelligent Systems
Author: Bernadette Bouchon
Publisher: Springer Science & Business Media
Total Pages: 420
Release: 1988-06-08
Genre: Computers
ISBN: 9783540194026

Download Uncertainty and Intelligent Systems Book in PDF, ePub and Kindle

This book contains the papers presented at the 2nd IPMU Conference, held in Urbino (Italy), on July 4-7, 1988. The theme of the conference, Management of Uncertainty and Approximate Reasoning, is at the heart of many knowledge-based systems and a number of approaches have been developed for representing these types of information. The proceedings of the conference provide, on one hand, the opportunity for researchers to have a comprehensive view of recent results and, on the other, bring to the attention of a broader community the potential impact of developments in this area for future generation knowledge-based systems. The main topics are the following: frameworks for knowledge-based systems: representation scheme, neural networks, parallel reasoning schemes; reasoning techniques under uncertainty: non-monotonic and default reasoning, evidence theory, fuzzy sets, possibility theory, Bayesian inference, approximate reasoning; information theoretical approaches; knowledge acquisition and automated learning.


Expert Systems in Structural Safety Assessment

Expert Systems in Structural Safety Assessment
Author: Aleksandar S. Jovanovic
Publisher: Springer
Total Pages: 520
Release: 1989
Genre: Computers
ISBN:

Download Expert Systems in Structural Safety Assessment Book in PDF, ePub and Kindle

The volume combines tutorials covering basic elements of expert (or knowledge based) systems and practical building of the expert systems to be applied in structural engineering, with the lecture dealing with the various particular application sub-domains like corrosion, stress analysis, high temperature and other pressurized components, use of hypertext, etc. The book thus leads the reader from fundamentals of the theory to the very practice, offering him an opportunity to learn both what contribution can the expert system technology bring to the structural safety assessment and how it should be practically implemented. The book is primarily designed for engineers interested in expert systems, but readers from other fields will surely find there a useful summary of theoretical background and practical experience gathered by introducing expert systems into engineering practice.


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

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Author: Jesús Medina
Publisher: Springer
Total Pages: 773
Release: 2018-05-30
Genre: Computers
ISBN: 3319914766

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


Uncertainty in Knowledge-Based Systems

Uncertainty in Knowledge-Based Systems
Author: Bernadette Bouchon-Meunier
Publisher: Springer Science & Business Media
Total Pages: 420
Release: 1987-11-04
Genre: Computers
ISBN: 9783540185796

Download Uncertainty in Knowledge-Based Systems Book in PDF, ePub and Kindle