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Fundamentals of Statistics with Fuzzy Data
Fundamentals of Statistics with Fuzzy Data
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...
Computational Intelligence: Principles, Techniques and Applications
Computational Intelligence: Principles, Techniques and Applications
Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The...
Fuzzy Group Theory (Studies in Fuzziness and Soft Computing)
Fuzzy Group Theory (Studies in Fuzziness and Soft Computing)
From the reviews of the first edition:

 

"The purpose of this book is to present an up to date account of fuzzy subgroups of a group, it is the first book dedicated entirely to the rapidly growing field of fuzzy group theory. … The book represents a major contribution to the literature on fuzzy groups. It is...

Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications....
Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications
Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications

Foresight can be crucial in process and production control, production-and-resources planning and in management decision making generally. Although forecasting the future from accumulated historical data has become a standard and reliable method in production and financial engineering, as well as in business and management, the use of time...

Fuzzy Equational Logic (Studies in Fuzziness and Soft Computing)
Fuzzy Equational Logic (Studies in Fuzziness and Soft Computing)
The present book deals with algebras, congruences, morphisms, reasoning about identities, classes of algebras and their axiomatizability, etc., from the point of view of fuzzy logic. We therefore deal with topics traditionally studied in universal algebra. Our approach is the following. In classical universal algebra, one works in bivalent setting....
Fuzzy Systems Engineering: Theory and Practice (Studies in Fuzziness and Soft Computing)
Fuzzy Systems Engineering: Theory and Practice (Studies in Fuzziness and Soft Computing)

This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as...

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems
We describe in this book, new methods for intelligent pattern recognition using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for pattern recognition. Hybrid intelligent systems...
Map-based Mobile Services: Theories, Methods and Implementations
Map-based Mobile Services: Theories, Methods and Implementations

The book is divided into three parts: theory, method and implementation. Starting with a summary of the state-of-the-art in mobile technologies, the first part analyses their impacts on cartography and pinpoints the missing theories concerned with the development of map-based mobile services. A conceptual framework of mobile cartography is then...

Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)
Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)

The support vector machine (SVM) is a supervised learning method that generates input-output mapping functions from a set of labeled training data. The mapping function can be either a classification function, i.e., the category of the input data, or a regression function. For classification, nonlinear kernel functions are often used to...

Mathematics of Uncertainty: Ideas, Methods, Application Problems
Mathematics of Uncertainty: Ideas, Methods, Application Problems

"Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to...

Biometric Systems: Technology, Design and Performance Evaluation
Biometric Systems: Technology, Design and Performance Evaluation
This book provides practitioners with an overview of the principles & methods needed to build reliable biometric systems. It covers 3 main topics: key biometric technologies, testing & management issues, & the legal and system considerations of biometric systems for personal verification/identification. It focuses on the 4 most widely...
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