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Fuzzy Logic Models and Fuzzy Control
Provides basic and concrete concepts of fuzzy set theory, fuzzy logic models and fuzzy control. The main aim of the book is to show that fuzzy control is not totally ad hoc and there exists formal techniques for analysis of a fuzzy controller.
Applied Mathematics and Computational Intelligence
This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The event was co-organized by the University of Barcelona (Spain), the Spanish Royal Academy of Economic and Financial Sciences (Spain) and the Forum for Interdisciplinary Mathematics (India). This instalment of the conference was presented with the title “Applied Mathematics and Computational Intelligence” and particularly focused on the use of Mathematics and Computational Intelligence techniques in a diverse range of scientific disciplines, as well as their applications in real-world problems. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering. This book will be of great interest to anyone working in the area of applied mathematics and computational intelligence and will be especially useful for scientists and graduate students pursuing research in these fields.
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and pr...
Building of Sophisticated and Elongated Novel Protocols for WSN by Employing Fuzzy Systems
It gives clarity over fuzzy systems that how being helped and ingested with Wireless Sensor Networks. It introduces the fundamental concepts of Wireless Sensor Networks. It covers Energy Efficient Techniques & Routing Protocols of WSN. It gives you more clarity, how the Clustering scheme Employing Fuzzy System to extend the life span of WSN’s. Enlarging the Lifespan and Securing Data Transmission of Wireless Sensor Networks. It covers Role of Simulator in Implementing the System. It Can be helpful to gain the savviness for the WSN Aspirers who wants to be a Researcher.
Fuzzy Information Measures with Applications
Fuzzy Information Measures With Applications discusses fuzzy sets theory including fuzzy sets and operations, fuzzy logic and applications, fuzzy relations and graphs, fuzzy rule base and applications, fuzzy systems and possibility and uncertainty measures.
Fuzzy Set Theory and Fuzzy Controller
Fuzzy Set Theory and Fuzzy Controller consists of two parts, the first part discusses fuzzy sets theory including fuzzy sets and operations, fuzzy numbers and arithmetic, fuzzy logic and applications, fuzzy relations and graphs, fuzzy systems with applications and fuzzy measures. The second part #provides an introduction to fuzzy controller, fuzzy control system model and decision making in fuzzy environment.
Jñānabha
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Acta Ciencia Indica
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