Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Subject Area
Data Analysis
Educational Level
Adult & Further Education
Subject
Computer Science, Statistics
Personalized
No
Level
Advanced
ISBN
9780130409690
Category

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0130409693
ISBN-13
9780130409690
eBay Product ID (ePID)
1825411

Product Key Features

Number of Pages
576 Pages
Publication Name
Uncertain Rule-Based Fuzzy Logic Systems : Introduction and New Directions
Language
English
Subject
Intelligence (Ai) & Semantics, Logic
Publication Year
2000
Type
Textbook
Author
Jerry M. Mendel
Subject Area
Mathematics, Computers
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
30.4 Oz
Item Length
9.5 in
Item Width
7.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
00-053050
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
511.3
Synopsis
For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic. The first book of its kind, this text explains how all 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 fuzzy logic to the next level type-2 fuzzy logic. It presents a complete development of both type-1 and type-2 fuzzy logic systems, showing how the expanded and richer fuzzy logic contains the original fuzzy logic within it. The text demonstrates, beyond a reasonable doubt, that when uncertainties are present in a problem, much better performance is obtained by using a type-2 fuzzy logic system than by using a type-1 fuzzy logic system., *Type-2 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 real-world uncertainty. The world is full of uncertainty that classical fuzzy logic cant model. Now, however, theres an approach to fuzzy logic that can model uncertainty: type-2 fuzzy logic. In this book, the developer of type-2 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 bottom-up approach that begins by introducing traditional type-1 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 *Type-2 fuzzy sets: operations, properties, and centro
LC Classification Number
QA9.64.M46 2001

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