Fuzzy Logic
A Practical Approach
Published on 10. May 2014
312 pages
978-1-4832-6622-0 (ISBN)
Description
Fuzzy Logic: A Practical Approach focuses on the processes and approaches involved in fuzzy logic, including fuzzy sets, numbers, and decisions. The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and quantifying word-based rules. The text then elaborates on designing a fuzzy decision and Fuzzy Thought Amplifier for complex situations. Topics include origins of cognitive maps, Fuzzy Thought Amplifier, training a map to predict the future, introducing the Fuzzy Decision Maker, and merging interests. The publication takes a look at fuzzy associative memory, fuzzy sets as hypercube points, and disk files and descriptions, including Fuzzy Thought Amplifier, Fuzzy Decision Maker, and composing and creating a memory. The text is a valuable source of data for researchers interested in fuzzy logic.
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01/1994
Academic Press
€38.32
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Content
ForewordChapter 1. The Fuzzy World Apples, Oranges, Or In Between? Is There Life Beyond Math? Vague Is Better Discovering Fuzziness The Uses Of Fuzzy Logic Fuzzy Control Systems Other Commercial Fuzzy Systems The Value Of Fuzzy Systems Advantages and Disadvantages Fuzzy Decision-Making Fuzziness And Asian Nations Fuzzy Systems And Uncertainty Probability and Bayesian Methods Nonprobabilistic Methods Fuzzy Systems And Neural NetworksChapter 2. Fuzzy Numbers And Logic Fuzzy Numbers Meet FuzNum Calc Performing Fuzzy Arithmetic Behind the Scenes With FuzNum Calc Fuzzy Sets Set Theory Touring UniCalc Multielement Sets Union, Intersection, and Implication Difference Complement Crisp And Fuzzy Logic Rules of Inference Logical Statements As-Then And As-Do Rules-A Sneak Preview Quantifying Word-Based RulesChapter 3. Fuzzy Systems on the Job Fuzzy Tools Fuzzy Knowledge Builder(TM) for a Fuzzy Expert System Fuzzy Decision-Maker(TM) Fuzzy Thought Amplifier(TM) Fuzzy Systems Creating A Fuzzy Control System Identify and Name Fuzzy Inputs Identify and Name Fuzzy Output Create the Fuzzy Membership Functions Construct the Rule Base Decide How to Execute the Actions Fuzzy Business Systems Industrial Fuzzy Systems Fuzzy-Neuro Sewage Pumping Station Fuzzy Insulin Infusion System For Diabetics Fuzzy Consumer ProductsChapter 4. Fuzzy Knowledge Builder(TM) Knowledge Builder's Design Program Organization Program File Structure Lunar Lander Lunar Lander's Vertical Axis Lunar Lander's Horizontal Axis Printing Your Graphics Displays Personnel Detection System Naming and Defining the Dimensions and Sets Improving the Matrix's Operation Formatting The Knowledge Base For An Inference Engine Using A Knowledge Base In An Inference EngineChapter 5. Designing a Fuzzy Decision The Decision Process Introducing The Fuzzy Decision Maker(TM) Deciding Which College To Attend Naming Your Goals Name Your Constraints Name Your Alternatives Rank the Importances of Your Goals and Constraints How Well Do the Alternatives Satisfy the Goals? Regional Transportation System Goals Constraints Alternatives Importances Satisfactions The Decision Process Merging Interests The Scenario The Alternatives The Goals The Constraints George's Version Martha's Version Comparing the Two Versions Inside The Fuzzy Decision Maker Importances Satisfactions The DecisionChapter 6.
