Описание: This book presents a new decision theory with imperfect decision-relevant information on environment and a decision maker`s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory.
Описание: This book presents a new decision theory with imperfect decision-relevant information on environment and a decision maker`s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory.
Автор: Pedro Ponce-Cruz; Arturo Molina; Brian MacCleery Название: Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA ISBN: 3319266551 ISBN-13(EAN): 9783319266558 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Downloadable LabVIEW toolkit and solutions to exercises
Автор: Badredine Arfi Название: Linguistic Fuzzy Logic Methods in Social Sciences ISBN: 3642422373 ISBN-13(EAN): 9783642422379 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.
Автор: Badredine Arfi Название: Linguistic Fuzzy Logic Methods in Social Sciences ISBN: 3642133428 ISBN-13(EAN): 9783642133428 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.
Описание: The text here provides the reader with an in-depth overview and analysis of the fundamental methods and techniques developed following G. Voronoi`s ground-breaking ideas, in the context of the vast and increasingly growing area of computational intelligence.
Описание: The text here provides the reader with an in-depth overview and analysis of the fundamental methods and techniques developed following G. Voronoi`s ground-breaking ideas, in the context of the vast and increasingly growing area of computational intelligence.
Автор: Piedad Brox; Iluminada Baturone Castillo; Santiago Название: Fuzzy Logic-Based Algorithms for Video De-Interlacing ISBN: 3642262627 ISBN-13(EAN): 9783642262623 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Researchers of the "Fuzzy Logic" group at the Microelectronics Institute of Seville have been studying fuzzy logic since the early 1990s. This book, borne of their efforts, covers the state-of-the-art of fuzzy logic-based algorithms for video de-interlacing.
Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.
Описание: This book focuses on identifying the performance challenges involved in computer architectures, optimal configuration settings and analysing their impact on the performance of multi-core architectures.
Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.
Автор: Hongyi Li; Ligang Wu; Hak-Keung Lam; Yabin Gao Название: Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems ISBN: 9811005923 ISBN-13(EAN): 9789811005923 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances.
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