Fuzzy Reasoning in Information, Decision and Control Systems (Microprocessor-Based Systems Engineering, Volume 11)

Tzafestas, S.G., Venetsanopoulos, Anastasios N.

ISBN 10: 0792326431 / ISBN 13: 9780792326434

Published by Kluwer Academic, 1994

About this Item

567 pp., Hardcover, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Seller Inventory # ZB883659

Bibliographic Details

• Title: Fuzzy Reasoning in Information, Decision and Control Systems (Microprocessor-Based Systems Engineering, Volume 11)
• Publisher: Kluwer Academic
• Publication Date: 1994
• Language: English
• ISBN 10: 0792326431
• ISBN 13: 9780792326434
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys­ tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa­ tion processing systems.