dynamical aspects fuzzy decision making von yoshida yuji (36 Ergebnisse)

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Gebunden. Zustand: Sehr gut. Gebraucht - Sehr gut Zustand: Sehr gut, X, 240 pp. 35 figs., 34 tabs. About this book The book focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. First, fuzzy dynamic programming is reviewed from a viewpoint of its origin and we consider its development in theory and applications. Next, the structure of dynamics in systems is considered in relation to fuzzy mathematical programming. Furthermore, some topics potentially related to dynamics are presented: financial management, fuzzy differential for fuzzy optimization of continuous-time fuzzy systems, and fuzzy ordering in multi-objective fuzzy systems. Finally, a unified approach in fuzzy decision making is developed. Readers can learn various kinds of methods to solve dynamical problems in fuzzy decision making through these chapters. Written for reseachers.

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Buch. Zustand: Neu. Neuware -The concept of fuzziness, inspired by Zadeh (1965), brings us fruitful results when it is applied to problems in decision making. Recently, problems in fuzzy decision making are getting more complex, and one of the most complex fac tors is dynamics in systems. Dynamical approach to fuzzy decision making has been proposed by Bellman and Zadeh's celebrated paper 'Decision-making in a fuzzy environment' (1970). The idea has developed into fuzzy mathemati cal programming and has been applied in many fields including management science, operations research, control theory, engineering, systems analysis, computer science, mathematical finance etc. Dynamic programming, advo cated in Bellmans book 'Dynamic programming' (1957), is one of the most powerful tools to deal with dynamics in systems, and Bellman and Zadeh has proposed the optimality principle in fuzzy decision making by (1970) introducing fuzzy dynamic programming. Fuzzy dynamic programming and fuzzy mathematical programming has been making remakable progress after they were given life by Bellman and Zadeh's paper (1970). In this volume, various kinds of dynamics, not only time but also structure of systems, are considered. This volume contains ten reviewed papers, which deal with dynamics in theory and applications and whose topics are poten tially related to dynamics and are expected to develope dynamical study in near future. first, fuzzy dynamic programming is reviewed from a viewpoint of its origin and consider its developement in theory and applications.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.

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Zustand: New. Editor(s): Yoshida, Yuji. Series: Studies in Fuzziness and Soft Computing. Num Pages: 240 pages, 4 black & white illustrations, 34 black & white tables, biography. BIC Classification: GPQ; PBWX. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 391. . 2010. Softcover reprint of hardcover 1st ed. 2001. Paperback. . . . .

Zustand: New. This text focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. Readers can learn various methods to solve dynamical problems in fuzzy decision making. Editor(s): Yoshida, Yuji. Series: Studies in Fuzziness and Soft Computing. Num Pages: 240 pages, 4 black & white illustrations, 34 black & white tables, biography. BIC Classification: GPQ; PBWX. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 542. . 2001. Hardback. . . . .

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Hardcover. Zustand: new. Hardcover. The book focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. First, fuzzy dynamic programming is reviewed from a viewpoint of its origin and we consider its development in theory and applications. Next, the structure of dynamics in systems is considered in relation to fuzzy mathematical programming. Furthermore, some topics potentially related to dynamics are presented: financial management, fuzzy differential for fuzzy optimization of continuous-time fuzzy systems, and fuzzy ordering in multi-objective fuzzy systems. Finally, a unified approach in fuzzy decision making is developed. Readers can learn various kinds of methods to solve dynamical problems in fuzzy decision making through these chapters. Dynamic programming, advo cated in Bellmans book "Dynamic programming" (1957), is one of the most powerful tools to deal with dynamics in systems, and Bellman and Zadeh has proposed the optimality principle in fuzzy decision making by (1970) introducing fuzzy dynamic programming. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. The book focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. First, fuzzy dynamic programming is reviewed from a viewpoint of its origin and we consider its development in theory and applications. Next, the structure of dynamics in systems is considered in relation to fuzzy mathematical programming. Furthermore, some topics potentially related to dynamics are presented: financial management, fuzzy differential for fuzzy optimization of continuous-time fuzzy systems, and fuzzy ordering in multi-objective fuzzy systems. Finally, a unified approach in fuzzy decision making is developed. Readers can learn various kinds of methods to solve dynamical problems in fuzzy decision making through these chapters. Dynamic programming, advo cated in Bellmans book "Dynamic programming" (1957), is one of the most powerful tools to deal with dynamics in systems, and Bellman and Zadeh has proposed the optimality principle in fuzzy decision making by (1970) introducing fuzzy dynamic programming. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Editor(s): Yoshida, Yuji. Series: Studies in Fuzziness and Soft Computing. Num Pages: 240 pages, 4 black & white illustrations, 34 black & white tables, biography. BIC Classification: GPQ; PBWX. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 391. . 2010. Softcover reprint of hardcover 1st ed. 2001. Paperback. . . . . Books ship from the US and Ireland.

Zustand: New. This text focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. Readers can learn various methods to solve dynamical problems in fuzzy decision making. Editor(s): Yoshida, Yuji. Series: Studies in Fuzziness and Soft Computing. Num Pages: 240 pages, 4 black & white illustrations, 34 black & white tables, biography. BIC Classification: GPQ; PBWX. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 542. . 2001. Hardback. . . . . Books ship from the US and Ireland.

Paperback. Zustand: new. Paperback. The book focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. First, fuzzy dynamic programming is reviewed from a viewpoint of its origin and we consider its development in theory and applications. Next, the structure of dynamics in systems is considered in relation to fuzzy mathematical programming. Furthermore, some topics potentially related to dynamics are presented: financial management, fuzzy differential for fuzzy optimization of continuous-time fuzzy systems, and fuzzy ordering in multi-objective fuzzy systems. Finally, a unified approach in fuzzy decision making is developed. Readers can learn various kinds of methods to solve dynamical problems in fuzzy decision making through these chapters. Dynamic programming, advo cated in Bellmans book "Dynamic programming" (1957), is one of the most powerful tools to deal with dynamics in systems, and Bellman and Zadeh has proposed the optimality principle in fuzzy decision making by (1970) introducing fuzzy dynamic programming. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. The book focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. First, fuzzy dynamic programming is reviewed from a viewpoint of its origin and we consider its development in theory and applications. Next, the structure of dynamics in systems is considered in relation to fuzzy mathematical programming. Furthermore, some topics potentially related to dynamics are presented: financial management, fuzzy differential for fuzzy optimization of continuous-time fuzzy systems, and fuzzy ordering in multi-objective fuzzy systems. Finally, a unified approach in fuzzy decision making is developed. Readers can learn various kinds of methods to solve dynamical problems in fuzzy decision making through these chapters. Dynamic programming, advo cated in Bellmans book "Dynamic programming" (1957), is one of the most powerful tools to deal with dynamics in systems, and Bellman and Zadeh has proposed the optimality principle in fuzzy decision making by (1970) introducing fuzzy dynamic programming. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents various kinds of methods to solve dynamical problems in fuzzy decision makingThe concept of fuzziness, inspired by Zadeh (1965), brings us fruitful results when it is applied to problems in decision making. Recently, problems in fuzzy decision .