Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

Häftad, Engelska, 2011

Del 16 i serien Theory and Decision Library D:

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Beskrivning

Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent systems, engineering, mathematical foundations, and information sciences. Both academics and the technical community will learn how and why fuzzy logic is appreciated in the conceptual, design and manufacturing stages of intelligent systems, gaining an improved understanding of the basic science and the foundations of human reasoning.

Produktinformation

Utgivningsdatum:2011-11-25
Mått:160 x 240 x 27 mm
Vikt:791 g
Format:Häftad
Språk:Engelska
Serie:Theory and Decision Library D:
Antal sidor:483
Upplaga:1995
Förlag:Springer
ISBN:9789401065436

Utforska kategorier

Innehållsförteckning

1. Intelligent Systems.- Expressing Fuzzy Measure by a Model of Modal Logic: A Discrete case.- Fuzziness Reduction Method for a Combination Function.- A Comparison Between Two Methods to Optimize Cross-Detecting Lines for a Fuzzy Neuron.- Modelling of Hysteretic Curves Based on Fuzzy Reasoning and Its Application.- Estimation of Membership Functions for Pattern Recognition and Computer Vision.- Range Image Segmentation through Fuzzy and Possibilistic Shell Clustering.- 2. Engineering.- On the Structure and Learning of Neural-Network-Based Fuzzy Logic Control Systems.- Optimization of a Fuzzy Adaptive Network for Control Applications.- Lexicographic Tuning of a Fuzzy Controller.- On Design of the Self-Organizing Fuzzy Logic System Based on Genetic Algorithm.- Fuzzy Control as Self-Organizing Adaptive Constraint-Oriented Problem Solving.- Lipreading Using the Fuzzy Degree of Similarity.- Intelligent Restructuring of Automated Production Systems.- Fuzzy System Modeling and Its Application to Mobile Robot Control.- Defuzzification with Constraints.- On Quality Defuzzification - Theory and an Application Example.- A Fuzzy Neural Network: Structure and Learning.- Nonlinear Function Approximation Based on Neuro-Fuzzy Interpolators.- Semantically Valid Optimization of Fuzzy Models.- Hull Form Generation by Using TSK Fuzzy Model.- Interpolative Reasoning for Computationally Efficient Optimal Multistage Fuzzy Control.- Fuzzy Petri Nets and their Applications to Fuzzy Reasoning Systems Control.- Simulation Study on Self-learning Fuzzy Control of Carbon Monoxide Concentration.- FLC Design with Multiple Control Objectives and Application to Overhead Crane Control.- Performance Evaluation for Fault Detection of Analog Electronic Circuits.- Subjective System Reliability Analysis and Mutual Agreement of Its Results.- Fuzzy Decision-Making Applications in Nuclear Science.- 3. Mathematical Foundations.- Conditional Events and Fuzzy Conditional Events Viewed from a Product Probability Space Perspective.- L-Fuzzy Ultra-Compactification.- A Class of Weakly Induced Spaces and Its Application to the Theory of Embedding.- Stable Fuzzy Compactness.- Fuzzy Matrices and Relational Equations.- Embeddings of Z-Domains in Cubes.- On Fuzzy Quantifiers.- Towards Formalized Integrated Theory of Fuzzy Logic.- 4. Information Sciences.- Recent Development in Fuzzy Database Systems and Applications.- Factor Spaces and Fuzzy Tables.- Fuzzy Clustering with Multiple Objective Functions.- The Effectiveness of Fuzzy Operators in Information Retrieval.- A Fuzzy Query Evaluation in Relational Databases.- A Solution Concept in Multiobjective Matrix Games with Fuzzy Payoffs and Fuzzy Goals.- On Classicalizing Fuzzy Databases.- A Cooperative Fuzzy Games for International Conflict Solving.- Consensus Degrees under Fuzziness via Ordered Weighted Average (OWA) Operators.- A Fuzzy Programming Approach to Structured Linear Programs.- A Necessary Soft Optimality Test in Interval Linear Programming Problems.