Computing with Words
Published on 30. April 2001
Book
Hardback
XVI, 452 pages
978-0-471-35374-4 (ISBN)
Description
Fuzzy logic refers to a computer's ability to make decisions involving "grey" or "fuzzy" areas. As linguistics contains numerous "grey" areas, computing with words through the use of fuzzy logic is an extremely hot topic in database and Internet research. This book explores the state of the art in linguistic computation, discussing how current research findings are extending the application of fuzzy logic beyond control engineering and intelligent systems into the use of language on a computer. Fuzzy logic pioneer, Dr. Lofti Zadeh, provides the introduction for this thought-provoking work.
More details
Person
PAUL P. WANG, PhD, received his doctorate from The Ohio State University and is Professor of Electrical and Computer Engineering at the Pratt School of Engineering, Duke University in Durham, North Carolina. He has published extensively in the fields of mathematical systems modeling, fuzzy logic, pattern recognition, intelligent systems, and the applications of computational intelligence methodologies to the medical and management expert systems design. His work with Masaki Togai during the 1980s led to the fabrication of the first fuzzy logic chips. Dr. Wang has been a member of the board of directors of several corporations, including Intelligent Machine, Inc. He is also the founder and CEO of the Association for Intelligent Machinery.
Content
Computing with words - introduction, implications and applications; from computing with numbers to computing with words from manipulation of measurements to manipulation of perceptions; computing with words - the problems and solutions. Issues of computing with words at large: models and mechanisms of thinking - a multigranular approach; granular relational computing with semiotic descriptors using BK-products of fuzzy relations; computing granular word meanings - a fuzzy linguistic approach in computational semiotics; extracting information from text; computing with word and cognitive science. Linguistic uncertainty modelling: combining linguistic information in a distributed intelligent agent model for information gathering on the Internet; a behavioural model for linguistic uncertainty. Knowledge acquistion: applying modifiers to knowledge acquisition; computing with words and machine learning in medical diagnostics; numeric robustness and linguistic perspicuity - a hybrid approach to knowledge acquisition; computing with descriptive and veristic words - knowledge representation and reasoning; principles of words based knowledge representation and knowledge processing for CWW. Reasoning and querying: computing with words in intelligent database querying: standalone and Internet-based applications; fuzzy qualitative reasoning with words; control with words - the modular approach; prospects for integrating analysis of variance with soft computing. Verb systems: beyond process- and action-symbols; let machines understand computational process- and action-symbols.