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Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications

sets theory, reasoning approaches (interpolative, analogical, similarity-based), decision and optimization theory, fuzzy databases, soft;

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019

, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy;

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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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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi;

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Recent Developments and the New Direction in Soft Computing Foundations and Appl

methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi;

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Fundamentals of Soft Computing and Intelligent System

The book provides the basic concepts and engineering applications of soft computing. Soft computing is the state-of-the-art approach to;

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Soft Computing In Systems And Control Technology

constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability;

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Applications of Soft Computing

Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks;

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Foundations of Computational Intelligence Volume 2

Foundations contains four ch- ters that describe several approaches of fuzzy and Para consistent annotated logic approximation reasoning. In Chapter 1;

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Fuzzy Expert Systems

provides the first comprehensive study of soft expert systems and applications for those systems. Topics covered include general purpose;

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Soft Computing and Its Applications, Volume Two

and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for;

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Soft Computing and Its Applications, Volume Two

and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for;

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Conceptual Graphs and Fuzzy Logic

In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation;

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Machine Intelligence and Soft Computing

computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing;

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Soft Computing Applications

management, image processing and cryptanalysis. The term soft computing represents an umbrella term for computational techniques like fuzzy;

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Applied Soft Computing

, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI;

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Soft Computing Based Medical Image Analysis

. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and;

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Recent Developments and New Directions in Soft Computing

scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision;

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Soft Computing

computing algorithms and fuzzy information processing models by developing a library of universal analytic models for fuzzy arithmetic operations;

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Soft Computing: Fundamentals and Applications

Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs), and others. To realize the need for a non-traditional optimization tool like GA;

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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing

influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than;

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Application of Soft Computing Techniques in Civil Engineering

produce its three main branches viz., Neural Networks, Genetic Algorithms and Fuzzy Logic. Six different soft computing techniques and their;

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Quantitative Logic And Soft Computing - Proceedings Of The Ql&sc 2012

intelligence, fuzzy sets and systems and soft computing.This invaluable book provides a broad introduction to the fuzzy reasoning and soft computing;

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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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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and;

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14th International Conference on Theory and Application of Fuzzy Systems and Sof

This book presents the proceedings of the 14th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial;

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