Expert Systems: Knowledge, Uncertainty, and DecisionA review of the present state of knowledge engineering, drawing together underlying theory from related disciplines, with particular attention to fuzzy logics, the theory of fuzzy sets, and decision support systems, along with practical applications. For managers wishing to evaluate expert decision systems, for systems designers and knowledge engineers, and for advanced undergraduate and graduate students in computer science. Many charts, diagrams, tables, and logical or mathematical formulas; extensive references. Annotation copyrighted by Book News, Inc., Portland, OR |
Other editions - View all
Expert Systems: Knowledge, Uncertainty, and Decision Ian Graham,Peter Llewelyn Jones No preview available - 1988 |
Common terms and phrases
allow analysis applications approach appropriate artificial attributes called Chapter classical complete concept concerned consider construct cost database deal decision decision support defined definition depends described discussed domain evidence example exist expert systems expressed extension fact factors formal frames function further fuzzy set give given human idea important indicated inference intelligence interesting introduced involved knowledge engineering knowledge-based language latter linguistic logic look mathematical means measure methods natural notion objects operations particular planning possible practical present probability problem procedural production programming question reader reasoning referred relation represent representation result rules selected sense set theory shown statement strategy structure Table techniques theory true truth turn uncertainty understanding usually variables various