ARN

Advances in the Dempster-shafer Theory of Evidence

Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field.

Table of Contents

Partial table of contents:

DEMPSTER-SHAFER THEORY OF EVIDENCE: GENERAL ISSUES.

Measures of Uncertainty in the Dempster-Shafer Theory of Evidence (G. Klir).

Comparative Beliefs (S. Wong, et al.).

Calculus with Linguistic Probabilities and Beliefs (M. Lamata & S. Moral).

FUZZIFICATION OF DEMPSTER-SHAFER THEORY OF EVIDENCE.

Rough Membership Functions (Z. Pawlak & A. Skowron).

DEMPSTER-SHAFER THEORY IN DECISION MAKING AND OPTIMIZATION.

Decision Analysis Using Belief Functions (T. Strat).

Interval Probabilities Induced by Decision Problems (T. Whalen).

DEMPSTER-SHAFER THEORY FOR THE MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS.

Using Dempster-Shafer's Belief-Function Theory in Expert Systems (P. Shenoy).

Nonmonotonic Reasoning with Belief Structures (R. Yager).

Index.
rhs_login_lockGet exclusive access to ARN's news, research and invitation only events.
ARN Distributor Directory
Find distributors by name | vendor | location
Channel Deals
/deals/avg/213_avg-internet-security-3-pc-2-year-10-pack-reta
AVG (AU/NZ) Pty Ltd

AVG Internet Security 2012 10 Pack Retail Specials

More details »
ARN Vendor Directory
Find vendors by name | category

iAsset is a channel management ecosystem that automates all major aspects of the entire sales,marketing and service process, including data tracking, integrated learning, knowledge management and product lifecycle management.