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Uncertainty Modelling In Knowledge Engineering And Decision Making - Proceedings Of The 12th International Flins Conference (Flins 2016)

2016-07-14 Computers
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Release : 2016-07-14
Genre : Computers
Kind : eBook
Book Rating : 982/5 ( reviews)

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Book Synopsis Uncertainty Modelling In Knowledge Engineering And Decision Making - Proceedings Of The 12th International Flins Conference (Flins 2016) by : Xianyi Zeng

Download or read book Uncertainty Modelling In Knowledge Engineering And Decision Making - Proceedings Of The 12th International Flins Conference (Flins 2016) written by Xianyi Zeng. This book was released on 2016-07-14. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions to the 12th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.

Uncertainty Modelling in Knowledge Engineering and Decision Making

2016 Computational intelligence
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Release : 2016
Genre : Computational intelligence
Kind : eBook
Book Rating : 976/5 ( reviews)

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Book Synopsis Uncertainty Modelling in Knowledge Engineering and Decision Making by : Xianyi Zeng

Download or read book Uncertainty Modelling in Knowledge Engineering and Decision Making written by Xianyi Zeng. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Analytic Hierarchy Process

2017-09-18 Business & Economics
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Release : 2017-09-18
Genre : Business & Economics
Kind : eBook
Book Rating : 488/5 ( reviews)

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Book Synopsis Fuzzy Analytic Hierarchy Process by : Ali Emrouznejad

Download or read book Fuzzy Analytic Hierarchy Process written by Ali Emrouznejad. This book was released on 2017-09-18. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP). The AHP is a conceptually and mathematically simple, easily implementable, yet extremely powerful tool for group decision making and is used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, and education. The aim of this book is to study various fuzzy methods for dealing with the imprecise and ambiguous data in AHP. Features: First book available on FAHP. Showcases state-of-the-art developments. Contains several novel real-life applications. Provides useful insights to both academics and practitioners in making group decisions under uncertainty This book provides the necessary background to work with existing fuzzy AHP models. Once the material in this book has been mastered, the reader will be able to apply fuzzy AHP models to his or her problems for making decisions with imprecise data.

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

2020-08-04 Technology & Engineering
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Release : 2020-08-04
Genre : Technology & Engineering
Kind : eBook
Book Rating : 343/5 ( reviews)

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Book Synopsis Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) by : Zhong Li

Download or read book Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) written by Zhong Li. This book was released on 2020-08-04. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

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

2018-05-30 Computers
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Release : 2018-05-30
Genre : Computers
Kind : eBook
Book Rating : 766/5 ( reviews)

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Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by : Jesús Medina

Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations written by Jesús Medina. This book was released on 2018-05-30. Available in PDF, EPUB and Kindle. Book excerpt: 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).

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