Uncertain Rule-Based Fuzzy Systems : Introduction and New Directions, 2nd Edition / by Jerry M. Mendel.
By: Mendel, Jerry M [author.].
Material type: TextPublisher: New York : Springer, c2017Edition: 2nd ed. 2017.Description: xxii, 684 p. : ill. ; 24 cm.ISBN: 9783319513690 (print); 9783319513706 (ebook).Subject(s): Engineering | Artificial intelligence | Neural networks (Computer science) | Computational intelligence | Electrical engineering | Engineering | Communications Engineering, Networks | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Mathematical Models of Cognitive Processes and Neural NetworksAdditional physical formats: Printed edition:: No titleDDC classification: 621.382Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Prof. G. K. Chadha Library
South Asian University |
621.382 M5372u (Browse shelf) | Available | BK00012523 | ||
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Prof. G. K. Chadha Library
South Asian University |
621.382 M5372u (Browse shelf) | Not For Loan | BK00012526 | ||
Books |
Prof. G. K. Chadha Library
South Asian University |
621.382 M5372u (Browse shelf) | Available | BK00012525 | ||
Books |
Prof. G. K. Chadha Library
South Asian University |
621.382 M5372u (Browse shelf) | Available | BK00012524 | ||
Books |
Prof. G. K. Chadha Library
South Asian University |
621.382 M5372u (Browse shelf) | Available | BK00012456 |
Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.
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The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty ? i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems ? from type-1 to interval type-2 to general type-2 ? in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material. Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties; Allows those already familiar with type-1 fuzzy sets and systems to rapidly come up to speed to type-2 fuzzy sets and systems; Features complete classroom material including end-of-chapter exercises, a solutions manual, and three case studies -- forecasting of time series to knowledge mining from surveys and PID control.