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).

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).

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.

Uncertainty in Knowledge Bases

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Release : 1991-09-11
Genre : Computers
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Book Rating : 466/5 ( reviews)

Uncertainty in Knowledge Bases - 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 Bases write by Bernadette Bouchon-Meunier. This book was released on 1991-09-11. Uncertainty in Knowledge Bases available in PDF, EPUB and Kindle. One out of every two men over eigthy suffers from carcinoma of the prostate.It is discovered incidentally in many patients with an alleged benign prostatic hyperplasia. In treating patients, the authors make clear that primary radical prostatectomy is preferred over transurethral resection due to the lower complication rate.

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

Download Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations PDF Online Free

Author :
Release : 2018-05-30
Genre : Computers
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Book Rating : 766/5 ( 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).