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Statistical Methods for Fuzzy Data

-priori information. Key Features: * Provides basic methods for the mathematical description of fuzzy data, as well as statistical methods that;

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Statistical Methods for Non-Precise Data

relatively young topic. Fuzziness is described in the theory of fuzzy sets but only a few papers on statistical inference for non-precise data exist;

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The Signed Distance Measure in Fuzzy Statistical Analysis

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the;

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Fuzzy Set Theory

in the Social Sciences provides a systematic, yet practical guide for researchers wishing to combine fuzzy set theory with standard statistical;

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Multiple Fuzzy Classification Systems

Fuzzy classifiers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scientific;

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Fuzzy Approach to Hierarchical Clustering

for cluster analysis, to extend the definition of object dissimilarity for the case of fuzzy objects; to realize clustering of fuzzy data, to;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication;

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Application of Soft Computing and Intelligent Methods in Geophysics

networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes;

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Intelligent Data Analysis

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve;

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Stratified Data Partitioning in Artificial Neural Network

The statistical properties of training, validation and test data play an important role in assuring optimal performance in artificial;

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Machine Learning in Medicine

statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis;

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Multi-Sensor Data Fusion With MATLAB

strategies and algorithms for DF and tracking performance, the book evaluates DF algorithms, software, and systems. It next covers fuzzy logic, fuzzy;

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The Application of Fuzzy Logic for Managerial Decision Making Processes

of applications and discusses topics such as measures for the quality of analytics outcomes in big data environments; how fuzzy management methods support;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data;

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Fuzzy Clustering Via Proportional Membership Model

proposes a framework for typological classification based on a fuzzy clustering model of data generation.;

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Learning from Data

An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic, this book provides a;

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Statistical Methods for the Evaluation of University Systems

performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing;

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Intuitionistic Fuzzy Calculus

or data, which are different from the previous aggregation operators focusing on discrete information or data. Mainly intended for engineers;

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Intuitionistic Fuzzy Calculus

or data, which are different from the previous aggregation operators focusing on discrete information or data. Mainly intended for engineers;

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Fuzzy Transforms for Image Processing and Data Analysis

This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;

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Fuzzy Transforms for Image Processing and Data Analysis

This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;

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Statistical Inference

developments in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models;

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Statistical Inference

in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models are also;

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