Uncertain RuleBased Fuzzy Logic Systems: Introduction and New Directions,Used

Uncertain RuleBased Fuzzy Logic Systems: Introduction and New Directions,Used

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Type2 fuzzy logic: Breakthrough techniques for modeling uncertainty Key applications: digital mobile communications, computer networking, and video traffic classification Detailed case studies: Forecasting time series and knowledge mining Contains 90+ worked examples, 110+ figures, and brief introductory primers on fuzzy logic and fuzzy sets Breakthrough fuzzy logic techniques for handling realworld uncertainty.The world is full of uncertainty that classical fuzzy logic can't model. Now, however, there's an approach to fuzzy logic that can model uncertainty: "type2" fuzzy logic. In this book, the developer of type2 fuzzy logic demonstrates how it overcomes the limitations of classical fuzzy logic, enabling a wide range of applications from digital mobile communications to knowledge mining. Dr. Jerry Mendel presents a bottomup approach that begins by introducing traditional "type1" fuzzy logic, explains how it can be modified to handle uncertainty, and, finally, adds layers of complexity to handle increasingly sophisticated applications. Coverage includes: The sources of uncertainty and the role of membership functions Type2 fuzzy sets: operations, properties, and centroids Singleton, nonsingleton, and TSK Type 2 fuzzy logic systems Comparing "type2" and "type 1" results Extensive applications coverage: digital mobile communications, computer networking, and video traffic classification Two starttofinish case studies: Forecasting time series and knowledge mining Carefully balanced between theory and design, the book contains over 90 worked examples and more than 110 figures. It is ideal for engineers, scientists, computer science researchers, and mathematicians interested in AI, rulebased systems, and modeling uncertainty. Since it contains brief introductory primers on fuzzy logic and fuzzy sets, it's accessible to virtually anyone with an undergraduate B.S. degree including computing professionals designing and implementing rulebased systems.SOFTWARE RESOURCESOnline software includes more than 30 companion MATLAB mfiles for implementing a wide variety of type1 and type2 fuzzy logic systems.

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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We provide a 2-year limited warranty, from the date of purchase for all our products.

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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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