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Springer - Possibility Theory for Information Fusion Systems

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Description

Enhance your understanding of advanced decision support with Possibility Theory for the Design of Information Fusion Systems. Published by Springer, this guidebook provides a practical approach to the mathematical developments and engineering methodologies required for modern computer-based system design. As industries move deeper into the eras of Big Data and the Internet of Things, traditional models often fall short. This text addresses those needs by exploring how possibility theory improves upon probability theory and complements Dempster-Shafer theory. It is designed specifically for professionals and researchers working in smart ICT (information and communications technologies) who require robust methods for managing complex data environments. By focusing on fundamental possibilistic concepts such as distribution, this book fills a significant gap in current data science literature. It serves as a technical resource for designing information fusion systems that can effectively support decision-making processes in increasingly connected and data-heavy sectors.

Key Features

Provides practical engineering methodologies for designing computer-based information fusion systems.

Explains fundamental possibilistic concepts including distribution to support technical mastery.

Offers an advanced alternative to probability theory for better decision support in smart ICT.

Complements existing Dempster-Shafer theory to provide a more complete mathematical framework.

Addresses critical gaps in data science relevant to Big Data and the Internet of Things.

Serves as a specialized guide for industries focused on information and communications technologies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 December 2019
Listed Since
06 September 2019

Barcode

No barcode data available

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