Fuzzy Reasoning in Information Decision and Control Systems is popular PDF and ePub book, written by S.G. Tzafestas in 2007-08-28, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Fuzzy Reasoning in Information Decision and Control Systems can be Read Online from any device for your convenience.
Fuzzy Reasoning in Information Decision and Control Systems Book PDF Summary
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.
Detail Book of Fuzzy Reasoning in Information Decision and Control Systems PDF
- Author : S.G. Tzafestas
- Release : 28 August 2007
- Publisher : Springer
- ISBN : 9780585346526
- Genre : Technology & Engineering
- Total Page : 548 pages
- Language : English
- PDF File Size : 20,8 Mb
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