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Fuzzy Sets & their Application to Clustering & Training

, particularly in pattern recognition, data mining, adaptive and hierarchical clustering, and classifier design. Fuzzy Sets and their Application to;

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Fuzzy Sets, Rough Sets, Multisets and Clustering

their applications in areas such as decision-making. The book is divided in four parts, the first of which focuses on clustering and;

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Fuzzy Approach to Hierarchical Clustering

In this book we tried to extend the possibilities of hierarchical clustering methods to manipulate with fuzzy data both during preparing;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy;

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Advances In Fuzzy Clustering And Its Applications

case studies in which fuzzy clustering plays a pivotal role This book will be of key interest to engineers associated with fuzzy control;

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Fuzzy Information Processing

, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification;

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Hesitant Fuzzy Sets Theory

This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research;

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Biological Models via Interval Type-2 Fuzzy Sets

This book offers a gentle introduction to type-2 fuzzy sets and, in particular, interval type-2 fuzzy sets and their application;

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Fuzzy Image Processing and Applications with MATLAB

out theoretical concepts and applications of fuzzy set theory and their impact on areas such as enhancement, segmentation, filtering, edge;

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Fuzzy Set and Its Extension

mathematics of both fuzzy set and intuitionistic fuzzy set so that they can use either one in their applications. Each chapter of Fuzzy Set and;

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Apache Mahout Clustering Designs

of the algorithms, such as K-Means, Fuzzy K-Means, StreamingKMeans, and how to use Mahout to cluster your data using a particular algorithm. You;

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Unsupervised Machine Learning for Clustering in Political and Social Research

skill. Yet, application of methods assumes an understanding of the data, structure, and patterns that influence the broader research program;

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Secure Clustering in Multi-Modal Wireless Sensor Networks

at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy;

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Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications

environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to;

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Fuzzy Clustering Via Proportional Membership Model

Development of models with explicit mechanisms for data generation from cluster structures is of major interest in order to provide a;

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Decision Making Theories and Methods Based on Interval Valued Intuitionistic Fuz

interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and;

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Decision Making Theories and Methods Based on Inte

interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and;

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Fuzzy C-means Clustering using Pattern Recognition

The objective of this book is to talk about the usage of Fuzzy Logic in Pattern Recognition. There are different fuzzy approaches to;

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Soft Computing and Its Applications, Volume One

their various approaches to fuzzy reasoning. Precisely speaking, this book provides a platform for handling different kinds of uncertainties;

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Soft Computing and Its Applications, Volume One

their various approaches to fuzzy reasoning. Precisely speaking, this book provides a platform for handling different kinds of uncertainties;

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Fuzzy Sets, Fuzzy Logic and Their Applications

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Fuzzy Sets, Fuzzy Logic, Applications

of fuzzy sets and fuzzy logic, thus enabling them to initiate projects and make applications.;

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An Introduction to Fuzzy Logic for Practical Applications

aid in comprehension. As a result, all those curious to know more about fuzzy concepts and their real-world application will find this a good;

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Type 2 Fuzzy Neural Networks and Their Applications

of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making;

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