Search Results for Fuzzy sets.

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Fuzzy Sets, Rough Sets, Multisets and Clustering

Torra, Vicenç. editor.

http://dx.doi.org/10.1007/978-3-319-47557-8

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Fuzzy Sets, Rough Sets, Multisets and Clustering Torra, Vicenç. editor.

Fuzzy logic models and fuzzy control : an introduction

Hooda, D. S., author.

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Fuzzy sets.

Optical Character Recognition Systems for Different Languages with Soft Computing

Chaudhuri, Arindam. author.

http://dx.doi.org/10.1007/978-3-319-50252-6

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systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic

Type-2 Fuzzy Granular Models

Sanchez, Mauricio A. author.

http://dx.doi.org/10.1007/978-3-319-41288-7

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-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such

Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing

Seising, Rudolf. editor.

http://dx.doi.org/10.1007/978-3-319-48317-7

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Science: an Homage to Claudio Moraga -- Some reflections on the use of interval fuzzy sets for dealing

Intuitionistic Fuzzy Logics

T. Atanassov, Krassimir. author.

http://dx.doi.org/10.1007/978-3-319-48953-7

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-of-the-art applications of intuitionistic fuzzy sets. The book is a valuable reference resource for graduate students and

Design of Interpretable Fuzzy Systems

Cpałka, Krzysztof. author.

http://dx.doi.org/10.1007/978-3-319-52881-6

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demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction

Time-Series Prediction and Applications A Machine Intelligence Approach

Konar, Amit. author.

http://dx.doi.org/10.1007/978-3-319-54597-4

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Sets -- Handling Multiple Factors in the Antecedent of Type-2 Fuzzy Rules -- Learning Structures in an

Granular Neural Networks, Pattern Recognition and Bioinformatics

Pal, Sankar K. author.

http://dx.doi.org/10.1007/978-3-319-57115-7

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discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in

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A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics Theory and Applications

de Barros, Laécio Carvalho. author.

http://dx.doi.org/10.1007/978-3-662-53324-6

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fuzzy sets and fuzzy dynamical systems. On the other, it demonstrates how these theories are used to

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Issues in the Use of Neural Networks in Information Retrieval

Iatan, Iuliana F. author.

http://dx.doi.org/10.1007/978-3-319-43871-9

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based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm

Cover image for Quantitative Logic and Soft Computing 2016 Proceedings of the 4th International Conference on Quantitative Logic and Soft Computing (QLSC2016) held at Hangzhou, China, 14-17 October, 2016

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Quantitative Logic and Soft Computing 2016 Proceedings of the 4th International Conference on Quantitative Logic and Soft Computing (QLSC2016) held at Hangzhou, China, 14-17 October, 2016

Fan, Tai-He. editor.

http://dx.doi.org/10.1007/978-3-319-46206-6

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Quantification of Software; (3) Fuzzy Connectives and Fuzzy Reasoning; (4) Fuzzy Logical Algebras; (5) Artificial

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