
Possibility Theory for the Design of Information Fusion Systems
Springer (Publisher)
1st Edition
Published on 27. December 2019
Book
Hardback
X, 288 pages
978-3-030-32852-8 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2019
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
35 s/w Abbildungen, 87 farbige Abbildungen
X, 288 p. 122 illus., 87 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 22 mm
Weight
617 gr
ISBN-13
978-3-030-32852-8 (9783030328528)
DOI
10.1007/978-3-030-32853-5
Schweitzer Classification
Other editions
Additional editions

Basel Solaiman | Éloi Bossé
Possibility Theory for the Design of Information Fusion Systems
Book
12/2020
Springer
€171.19
Shipment within 7-9 days

Basel Solaiman | Éloi Bossé
Possibility Theory for the Design of Information Fusion Systems
E-Book
12/2019
1st Edition
Springer
€171.19
Available for download
Persons
Basel Solaiman is a professor at IMT-Atlantique (École nationale supérieure Mines-Télécom Atlantique Bretagne-Pays de la Loire), France, where he heads the Department of Image and Information Processing. His research activities range from medical and underwater imaging, remote sensing, and knowledge mining. He holds a Ph.D. degree from Université de Rennes-I, France.
Éloi Bossé, is a researcher on decision support, fusion of information and analytics technologies (FIAT). He possesses a vast research experience in applying them to Defense and Security related problems. He is currently president of Expertise Parafuse Inc., a consultant firm on FIAT, associate researcher at IMT-Atlantique, France. He holds a Ph.D. degree from Université Laval, Québec City, Canada.
Éloi Bossé, is a researcher on decision support, fusion of information and analytics technologies (FIAT). He possesses a vast research experience in applying them to Defense and Security related problems. He is currently president of Expertise Parafuse Inc., a consultant firm on FIAT, associate researcher at IMT-Atlantique, France. He holds a Ph.D. degree from Université Laval, Québec City, Canada.
Content
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.