Описание: This book reports on advancedtheories and cutting-edge applications in the field of soft computing. Theindividual chapters, written by leading researchers, are based on contributionspresented during the 4th World Conference on Soft Computing, held May 25-27,2014, in Berkeley. The book covers a wealth of key topics in soft computing,focusing on both fundamental aspects and applications. The former include fuzzymathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregationand neural networks, while the latter include soft computing in data analysis,image processing, decision-making, classification, series prediction,economics, control, and modeling. By providing readers with a timely,authoritative view on the field, and by discussing thought-provokingdevelopments and challenges, the book will foster new research directions inthe diverse areas of soft computing.
Автор: Fan Название: Quantitative Logic and Soft Computing 2016 ISBN: 3319462059 ISBN-13(EAN): 9783319462059 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the proceedings of the Fourth International Conference on Quantitative Logic and Soft Computing (QLSC2016) held 14-17, October, 2016 in Zhejiang Sci-Tech University, Hangzhou, China. It includes 61 papers, of which 5 are plenary talks( 3 abstracts and 2 full length talks). QLSC2016 was the fourth in a series of conferences on Quantitative Logic and Soft Computing. This conference was a major symposium for scientists, engineers and practitioners to present their updated results, ideas, developments and applications in all areas of quantitative logic and soft computing. The book aims to strengthen relations between industry research laboratories and universities in fields such as quantitative logic and soft computing worldwide as follows:(1) Quantitative Logic and Uncertainty Logic;(2) Automata and Quantification of Software;(3) Fuzzy Connectives and Fuzzy Reasoning;(4) Fuzzy Logical Algebras;(5) Artificial Intelligence and Soft Computing;(6) Fuzzy Sets Theory and Applications.
Автор: Dominik Slezak; JingTao Yao; James F. Peters; Wojc Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing ISBN: 3540286608 ISBN-13(EAN): 9783540286608 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains papers from the proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005 in 2 volumes.
Автор: Rafael Bello; Rafael Falc?n; Witold Pedrycz Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets ISBN: 3642095682 ISBN-13(EAN): 9783642095689 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.
Автор: Hiroshi Sakai; Mihir Chakraborty; Aboul-Ella Hassa Название: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ISBN: 3642106455 ISBN-13(EAN): 9783642106453 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009.
Автор: Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang Название: Computing Statistics under Interval and Fuzzy Uncertainty ISBN: 3642445705 ISBN-13(EAN): 9783642445705 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1.
Автор: Rudolf Seising; H?ctor Allende-Cid Название: Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing ISBN: 3319483161 ISBN-13(EAN): 9783319483160 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is an authoritative collection of contributions by leading experts on the topics of fuzzy logic, multi-valued logic and neural network. Originally written as an homage to Claudio Moraga, seen by his colleagues as an example of concentration, discipline and passion for science, the book also represents a timely reference guide for advance students and researchers in the field of soft computing, and multiple-valued logic.
Автор: Dominik Slezak; Marcin Szczuka; Ivo Duentsch; Yiyu Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing ISBN: 3540286535 ISBN-13(EAN): 9783540286530 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part of a two volume set, this title includes information related to rough set approximations, rough-algebraic foundations, feature selection and reduction, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, probabilistic network models, granular computing, and more.
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