Approximate Reasoning in Intelligent Systems, Decision and Control
Published on 31. March 1987
Book
Hardback
202 pages
978-0-08-034335-8 (ISBN)
Description
Documents realistic applications of approximate reasoning techniques, with emphasis placed on operational systems. The papers presented explore new areas of practical decision-making and control systems by considering important aspects of fuzzy logic theory and the latest developments in the field of expert systems. Specific fields of application covered include modelling and control, management, planning, diagnostics, finance and software. Contains 12 papers.
Reviews / Votes
The clear style...helps the book reach a wide audience. The timeliness of the topics dealt with will surely attract researchers...this volume should not miss in any academic library.H N Teodorescu, Rev. Med-Chir. Soc. Med. Nat. Iasi
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
ISBN-13
978-0-08-034335-8 (9780080343358)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E. Sanchez | L. A. Zadeh
Approximate Reasoning in Intelligent Systems, Decision and Control
E-Book
05/2014
Elsevier
€54.95
Available for download
Persons
Content
Fuzzy hardware systems of tomorrow, T Yamakawa. Functional requirements for a fuzzy expert system shell, W Siler et al. An uncertainty calculus for expert systems, J F Baldwin. Automatic generation of verbal comments on results of mathematical modelling, V Novak. Portfolio analysis using possibility distributions, J J Buckley. A fuzzy decision support system for strategic planning, N Green Hall. A clinical alarm system using techniques from artificial intelligence and fuzzy set theory, S J Henkind et al. Learning from examples in presence of uncertainty, F Bergadano et al. Use of fuzzy logic in a rule-based system in petroleum geology, J Lebailly et al. Rule-based process control using fuzzy logic, J Efstathiou. Diagnosis based on subjective information in a solar energy plant, A Asse et al. Diagnostics of faulty states in complex physical systems using fuzzy relational equations, J Kitowski & M Bargiel.