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Fuzzy Clustering Via Proportional Membership Model

fuzzy analogue of c-means crisp clustering, FCM models a typological classification, much the same way as c-means. However, FCM does not adhere;

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Fuzzy Sets & their Application to Clustering & Training

is the first and most basic application of fuzzy set theory, but forms the basis of many, more sophisticated, intelligent computational models;

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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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Fuzzy Sets, Rough Sets, Multisets and Clustering

together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as;

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Advances In Fuzzy Clustering And Its Applications

A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and;

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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a;

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Deep Neuro-Fuzzy Systems with Python

reviewing advanced neuro fuzzy models and applications. What You'll Learn Understand fuzzy logic, membership functions, fuzzy;

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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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Analysis and Synthesis of Fuzzy Control Systems

for later chapters, which cover: T-S fuzzy modeling and identification via nonlinear models or data Stability analysis of T-S;

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Analysis and Synthesis of Fuzzy Control Systems

for later chapters, which cover: T-S fuzzy modeling and identification via nonlinear models or data Stability analysis of T-S;

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Apache Mahout Clustering Designs

* Explore the different clustering algorithms used in day-to-day work * A practical guide to create and evaluate your own clustering models using;

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Time Series Clustering and Classification

developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification;

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Time Series Clustering and Classification

relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based;

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Fuzzy Information Processing

, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and;

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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved;

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Biological Models via Interval Type-2 Fuzzy Sets

in biological modeling. Interval type-2 fuzzy modeling is a comparatively recent direction of research in fuzzy modeling. As the modeling of biological;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the;

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Fuzzy Information Retrieval

times considered a soft computing application and this book explores how IR with fuzzy logic and its membership functions as weights can help;

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Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

problems, is the use of fuzzy logic control. This book will discuss the Magnetic Levitation (Maglev) models as an example of nonlinear systems. It;

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Fuzzy Arbitrary Order System Fuzzy Fract

Presents a systematic treatment of fuzzy fractional differential equations as well as newly developed computational methods to model;

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Fuzzy Image Processing and Applications with MATLAB

In contrast to classical image analysis methods that employ crisp mathematics, fuzzy set techniques provide an elegant foundation and a;

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Introduction to Fuzzy Systems

fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods;

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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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Fuzzy Logic and Soft Computing Applications

This book constitutes the proceedings of the 11th International Workshop on Fuzzy Logic and Applications, WILF 2016, held in Naples, Italy;

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Fuzzy Set Theory

techniques and model-testing. Key Features: Addresses Basic Concepts: Fuzzy set theory is an analytic framework for handling concepts;

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Model Based Fuzzy Control

Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules;

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