Synopsis
This book provides an up-to-date analysis and description of the three main numerical approaches to modelling approximate reasoning - the probabilistic, possibilistic and the evidential - and presents them in a rigorous yet easy to read manner. Illustrated with many examples, the similarities, differences and limitations of these models are pointed out and a comparative presentation of the main models for representing and managing uncertainty in expert systems given. The book gathers together all the main results recently published and collates in a single volume all the available information that was previously scattered throughout the literature. The text will benefit students and researcher in computer science, artificial intelligence and expert systems.
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Approximate Reasoning Models
ISBN 10: 0470216085
ISBN 13: 9780470216088
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Hardcover
First Edition
Seller: Arroyo Seco Books, Pasadena, Member IOBA, Pasadena, CA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Fine. 1st Edition. 109 Pp. A Sophisticated Analysis, Starting With The Bayesian Approach Of Prospector And The Certainty Facors Of Mycin, Continuing With The Dempster-Shafer Theory Of Evidence, And Then Details Results In The Possibility Theory Approach, With A Concluding Analysis Of The Difficulties. Seller Inventory # 029009