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Fuzzy Logic-Based Modeling in Collaborative and Blended Learning

. Fuzzy Logic-Based Modeling in Collaborative and Blended Learning explores the application of the fuzzy set theory to educational settings;

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. Fuzzy logic together with multi;

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Insight into Fuzzy Modeling

method involves fuzzy approximation and the theory of fuzzy relations. The second method is based on a combination of formal fuzzy logic and;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory;

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Mathematical Modeling using Fuzzy Logic

in engineering and management. The many examples point to the richer solutions obtained through fuzzy logic and to the possibilities of much wider;

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Uncertainty Modeling for Data Mining

, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for;

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Adopting Blended Learning for Collaborative Work in Higher Education

based technology and how this adds to the concept of blended learning. To advance this aim organisational culture and group work, group based;

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Fuzzy Logic For Business, Finance, And Management (2nd Edition)

This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy;

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Blended and Online Learning for Global Citizenship

blended learning can be used to bolster social cohesion and increase students' understanding of what it means to be a global citizen.;

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Fuzzy Logic and Hydrological Modeling

The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic;

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Fuzzy Databases

''This book includes an introduction to fuzzy logic, fuzzy databases and an overview of the state of the art in fuzzy modeling in databases;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Fuzzy Control and Identification

This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to;

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

time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic;

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Dynamic Fuzzy Machine Learning

, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and;

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ICBL 2017

This book constitutes the refereed proceedings of the 10th International Conference on Blended Learning, ICBL 2017, held in Hong Kong;

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Uncertain Rule-Based Fuzzy Logic Systems

kinds of uncertainties can be handled within the framework of a common theory and set of design tools-fuzzy logic systems-by moving the original;

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Flight Mechanics Modeling and Analysis

fuzzy logic-based aspects in modeling and analysis of flight mechanics systems: aircraft parameter estimation, and reconfiguration of control;

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Fuzzy Sets, Fuzzy Logic, Applications

Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature;

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Hydrological Data Driven Modelling

the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine;

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Blended Learning: Re-thinking and Re-defining the Learning Process.

2021 is Blended Learning: Re-thinking and Re-defining the Learning Process. The papers are organized in topical sections named: content and;

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Applications of Fuzzy Logic in Planning and Operation of Smart Grids

Fuzzy logic has vast applications in power and electrical engineering. This collection is the first book to cover research advancements;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a;

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Mathematical Principles of Fuzzy Logic

Mathematical Principles of Fuzzy Logic provides a systematic study of the formal theory of fuzzy logic. The book is based on logical;

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Instruction Modeling

Blended learning is an educational approach that combines online and face-to-face components in the classroom, and it is becoming popular;

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Visions and Concepts for Education 4.0

This book contains papers in the fields of Interactive, Collaborative, and Blended Learning; Technology-Supported Learning; Education 4.0;

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