Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Introduction To Neuro-Fuzzy SystemsISBN13:9783790812565ISBN10:3790812560Author:Fuller, Robert (Author)Description:Fuzzy Sets Were Introduced By Zadeh (1965) As A Means Of Representing And Manipulating Data That Was Not Precise, But Rather Fuzzy Fuzzy Logic Pro- Vides An Inference Morphology That Enables Approximate Human Reasoning Capabilities To Be Applied To Knowledge-Based Systems The Theory Of Fuzzy Logic Provides A Mathematical Strength To Capture The Uncertainties Associ- Ated With Human Cognitive Processes, Such As Thinking And Reasoning The Conventional Approaches To Knowledge Representation Lack The Means For Rep- Resentating The Meaning Of Fuzzy Concepts As A Consequence, The Approaches Based On First Order Logic And Classical Probablity Theory Do Not Provide An Appropriate Conceptual Framework For Dealing With The Representation Of Com- Monsense Knowledge, Since Such Knowledge Is By Its Nature Both Lexically Imprecise And Noncategorical The Developement Of Fuzzy Logic Was Motivated In Large Measure By The Need For A Conceptual Framework Which Can Address The Issue Of Uncertainty And Lexical Imprecision Some Of The Essential Characteristics Of Fuzzy Logic Relate To The Following 242] - In Fuzzy Logic, Exact Reasoning Is Viewed As A Limiting Case Of Ap- Proximate Reasoning - In Fuzzy Logic, Everything Is A Matter Of Degree - In Fuzzy Logic, Knowledge Is Interpreted A Collection Of Elastic Or, Equivalently, Fuzzy Constraint On A Collection Of Variables - Inference Is Viewed As A Process Of Propagation Of Elastic Con- Straints - Any Logical System Can Be Fuzzified There Are Two Main Characteristics Of Fuzzy Systems That Give Them Better Performance F R Specific Applications Binding:Paperback, PaperbackPublisher:SPRINGER NATUREPublication Date:1999-11-17Weight:0.96 lbsDimensions:0.65'' H x 9.21'' L x 6.14'' WNumber of Pages:289Language:English
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Book Title: Introduction To Neuro-Fuzzy Systems
Item Length: 9.3in
Item Width: 6.1in
Author: Robert Fuller
Publication Name: Introduction to Neuro-Fuzzy Systems
Format: Trade Paperback
Language: English
Publisher: Physica-Verlag
Publication Year: 1999
Series: Advances in Intelligent and Soft Computing Ser.
Type: Textbook
Item Weight: 33.9 Oz
Number of Pages: Xii, 289 Pages
