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Fuzzy Reasoning in Information, Decision and Control Systems
. Ed(S): Tzafestas, Spyros G.; Venetsanopoulos, A. N.
€ 382.75
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Description for Fuzzy Reasoning in Information, Decision and Control Systems
Hardback. Devoted to the study of fuzzy reasoning as applied to decision making and control processes. This book contains a collection of contributions covering a range of topics within the field. It is suitable for the researcher and practitioner, as well as for the teacher and student in related Master and Doctoral courses. Editor(s): Tzafestas, Spyros G.; Venetsanopoulos, A. N. Series: Intelligent Systems, Control and Automation: Science and Engineering. Num Pages: 588 pages, biography. BIC Classification: TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 152 x 33. Weight in Grams: 1006.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
1994
Publisher
Kluwer Academic Publishers United States
Number of pages
588
Condition
New
Series
Intelligent Systems, Control and Automation: Science and Engineering
Number of Pages
568
Place of Publication
Dordrecht, Netherlands
ISBN
9780792326434
SKU
V9780792326434
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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