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Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions
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- Sofort-KaufenUncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions
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US $5,97 (ca. EUR 5,18) USPS Media MailTM.
Standort: Richland, Washington, USA
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eBay-Artikelnr.:195062202370
Artikelmerkmale
- Artikelzustand
- Subject Area
- Data Analysis
- Educational Level
- Adult & Further Education
- Subject
- Computer Science, Statistics
- Personalized
- No
- Level
- Advanced
- ISBN
- 9780130409690
Über dieses Produkt
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
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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