Rachel Yager

Dr. Rachel Yager specializes in developing strategies for using new emerging Web technologies to attain high impact business solutions. She has expertise in computational intelligence, knowledge engineering, and business analytics for decision support. She earned her Ph.D. in Computer Information Systems, Masters and Bachelor Degree in Engineering. She advises companies on digital architecture, emerging technologies, and new product R&D.

Research on the Dempster-Shafer Theory of Belief Functions

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NEW BOOK! Classic Works of the Dempster-Shafer Theory of Belief Functions (Studies in Fuzziness and Soft Computing):

This book brings together a collection of classic research papers on the Dempster-Shafer theory of belief functions. This book will serve as the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. The carefully selected contributions are grouped into seven sections, including conceptual foundations, theoretical perspectives, theoretical extensions, alternative interpretations, and applications to artificial intelligence, decision-making, and statistical inferences. The book also includes a foreword by Dempster and Shafer reflecting the development of the theory in the last forty years, and an introduction describing the basic elements of the theory and how each paper contributes to the field.

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