Possibility Theory for the Design of Information Fusion Systems
tarafından
 
Solaiman, Basel. author.

Başlık
Possibility Theory for the Design of Information Fusion Systems

Yazar
Solaiman, Basel. author.

ISBN
9783030328535

Yazar
Solaiman, Basel. author.

Edisyon
1st ed. 2019.

Fiziksel Niteleme
X, 288 p. 122 illus., 87 illus. in color. online resource.

Seri
Information Fusion and Data Science,

İçindekiler
Chapter1: Introduction to possibility theory -- Chapter2: Fundamental possibilistic concepts -- Chapter3: Joint Possibility Distributions and Conditioning -- Chapter4: Possibilistic Similarity Measures -- Chapter5: The interrelated uncertainty modeling theories -- Chapter6: Possibility integral -- Chapter7: Fusion operators and decision-making criteria in the framework of possibility theory -- Chapter8: Possibilistic concepts applied to soft pattern classification -- Chapter9: The use of possibility theory in the design of information fusion systems.

Özet
This practical guidebook describes the basic concepts, the mathematical developments, and the engineering methodologies for exploiting possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in smart ICT (information and communications technologies). This exploitation of possibility theory improves upon probability theory, complements Dempster-Shafer theory, and fills an important gap in this era of Big Data and Internet of Things. The book discusses fundamental possibilistic concepts: distribution, necessity measure, possibility measure, joint distribution, conditioning, distances, similarity measures, possibilistic decisions, fuzzy sets, fuzzy measures and integrals, and finally, the interrelated theories of uncertainty..uncertainty. These topics form an essential tour of the mathematical tools needed for the latter chapters of the book. These chapters present applications related to decision-making and pattern recognition schemes, and finally, a concluding chapter on the use of possibility theory in the overall challenging design of an information fusion system. This book will appeal to researchers and professionals in the field of information fusion and analytics, information and knowledge processing, smart ICT, and decision support systems.

Konu Başlığı
Probabilities.
 
Statistics .
 
Mathematical statistics.
 
Sociophysics.
 
Econophysics.
 
Electrical engineering.
 
Probability Theory and Stochastic Processes. https://scigraph.springernature.com/ontologies/product-market-codes/M27004
 
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/S17020
 
Probability and Statistics in Computer Science. https://scigraph.springernature.com/ontologies/product-market-codes/I17036
 
Data-driven Science, Modeling and Theory Building. https://scigraph.springernature.com/ontologies/product-market-codes/P33030
 
Communications Engineering, Networks. https://scigraph.springernature.com/ontologies/product-market-codes/T24035

Yazar Ek Girişi
Bossé, Éloi.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-030-32853-5


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book428157-1001QA273 .A1-274.9Springer E-Book Collection