Applications of Uncertainty Formalisms, Issue 1455
Anthony Hunter, Simon Parsons
Springer, Jan 1, 1998 - Computers - 474 pages
An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.
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Application case studies
An ordinal approach to the processing of fuzzy queries with flexible
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abiotic action algorithm application approach Artificial Intelligence assumption-based systems assumptions ATMS behavior belief set operator carcinogenic causal classical components compute conditional independence conflicts consequence relation consider consistent corresponding database decision default logic default reasoning default rules default theory defect defined definition Dempster-Shafer Dempster-Shafer theory denoted described diagnosis dictionary document domain dynamic environment example expected value expert expressed failure Figure formula function fuzzy logic fuzzy rule fuzzy set given graphical models implementation imprecise inconsistent inference Influence Diagrams Influence View input interpretation knowledge base means measure Milord module nodes obtained plant species Porifera possibilistic possibility distribution Prade probabilistic probability probability theory problem Prolog propagation proposition qualitative query refinement refinement function represent representation result risk robot sample semantics sponge SPONGIA structure submodules techniques theorem theory of evidence transformed truth maintenance systems uncertain uncertainty formalisms variables