Learn IT - Books tags fuzzy

Handbook of Granular Computing

John Wiley & Sons, 2008

Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest...

High-Level Data Fusion

Artech House Publishers, 2008

Master cutting-edge Level 2 fusion techniques that help you develop powerful situation assessment services with eye-popping capabilities and performance with this trail-blazing resource. The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and...

Fuzzy Algorithms for Control (International Series in Intelligent Technologies)

Springer, 1999

Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts.

Chapters in the first part address the position of fuzzy systems in control...

Multi-Sensor Data Fusion with MATLAB®

CRC Press, 2009

Using MATLAB^® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF...

Algorithms and Networking for Computer Games

John Wiley & Sons, 2006

Algorithms and Networking for Computer Games is an essential guide to solving the algorithmic and networking problems of modern commercial computer games, written from the perspective of a computer scientist. Combining algorithmic knowledge and game-related problems, the authors discuss all the common difficulties encountered in game...

Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set

John Wiley & Sons, 2019

Provides detailed mathematical exposition of the fundamentals of fuzzy set theory, including intuitionistic fuzzy sets

This book examines fuzzy and intuitionistic fuzzy mathematics and unifies the latest existing works in literature. It enables readers to fully understand the mathematics of both fuzzy set and...

Soft Computing for Business Intelligence (Studies in Computational Intelligence)

Springer, 2013

The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.

It contains twenty-seven papers allocated to three sections: Soft Computing, Business...

Fundamentals of Statistics with Fuzzy Data

Springer, 2006

This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the...

Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty (Studies in Fuzziness and Soft Computing)

Springer, 2012

This book generalizes fuzzy logic systems for different types of uncertainty, including

- semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions

- lack of attributes or granularity arising from discretization of real data

- imprecise description of membership...

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science)

Springer, 2011

This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, R.S.F.D.Gr.C. 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83...

Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (Premier Reference Source)

IGI Global, 2008

Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies...

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Studies in Computational Intelligence)

Springer, 2011

We describe in this book, hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce...

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