Fuzzy reasoning information decision (17 Ergebnisse)
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Taschenbuch. Zustand: Neu. Fuzzy Reasoning in Information, Decision and Control Systems | S. G. Tzafestas (u. a.) | Taschenbuch | Intelligent Systems, Control and Automation: Science and Engineering | xx | Englisch | 2013 | Springer | EAN 9789401740821 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17,… 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Gebunden. Zustand: New. 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 .
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Zustand: New. 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. . 1994. Hardback. . . . .
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Fuzzy Reasoning in Information, Decision and Control Systems (Intelligent Systems, Control and Automation: Science and Engineering)
Tzafestas, S.G. (Editor) / Venetsanopoulos, Anastasios N. (Editor)
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Zustand: New. 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. . 1994. Hardback. . . . . Books ship from the US and Ireland.
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Buch. Zustand: Neu. Neuware - 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 inferen…ce 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.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 c…onsumer 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. 592 pp. Englisch.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 consu…mer 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 592 pp. Englisch.
