Fuzzy-Systems in Computer Science

Autorentext

Prof. Dr. Rudolf Kruse und Dr. Jörg Gebhardt arbeiten am Institut für Betriebssysteme und Rechnerverbund der TU Braunschweig. Dr. Rainer Palm ist in der Zentralabteilung Forschung und Entwicklung der Siemens AG München tätig.

Klappentext

This book contains a selection of revised papers and state-of-the-art overviews on current trends and future perspectives of fuzzy systems. A major aim is to address theoretical as well as application-oriented issues and to contribute to the foundation of concepts, methods, and tools in this field. The book is written by researchers who attended the workshop "Fuzzy Systems '93 - Management of Uncertain Information" (Braunschweig, Germany, October 21-22, 1993), organized by the German Society of Computer Science (GI), the German Computer Science Academy (DIA), and the University of Braunschweig.Dieses Buch enthält ausgewählte und auf neuesten Stand gebrachte Fachaufsätze und "State of the Art"-Übersichtsartikel in englischer Sprache. Sie geben einen Überblick über aktuelle Trends sowie Zukunftsperspektiven der Fuzzy-Systeme. Besonderer Wert wird darauf gelegt, daß das Buch in einem ausgewogenen Verhältnis von Theorie und Praxis zur Fundierung von Konzepten, Methoden und Werkzeugen beiträgt. Hervorgegangen ist das Werk aus einem von der Gesellschaft für Informatik (GI), der Deutschen Informatik Akademie (DIA) und der TU Braunschweig gemeinsam veranstalteten GI-Workshop "Fuzzy-Systeme '93 - Management unsicherer Informationen" (Braunschweig, 21.-22.10.1993). Die Aufsätze wurden überarbeitet und um Überblicksartikel ergänzt, geschrieben von H. J. Zimmermann, H. Hellendorn, D. Nauck, C. Freksa, S. Gottwald und K. D. Meyer-Gramann.

Inhalt
1 Fuzzy Systems in Germany: Historical Remarks.- 2 Fuzzy Control.- 2.1 Fuzzy Control: An Overview.- 2.2 Input Scaling of Fuzzy Controllers.- 2.3 How to Store Efficiently a Linguistic Rule Set in a Fuzzy Controller.- 2.4 Learning the Rule Base of a Fuzzy Controller by a Genetic Algorithm.- 2.5 Comparison of Conventional and Fuzzy-Control of Non-Linear Systems.- 3 Fuzzy Neuro Systems.- 3.1 Fuzzy Neuro Systems: An Overview.- 3.2 Image Analysis based on Fuzzy Similarities.- 3.3 ANFIS-SNNS: Adaptive Network Fuzzy Inference System in the Stuttgart Neural Network Simulator.- 3.4 Fast Perceptron Learning by Fuzzy Controlled Dynamic Adaptation of Network Parameters.- 3.5 Building Neural Fuzzy Controllers with NEFCON-I.- 4 Fuzzy Systems in AI.- 4.1 Fuzzy Systems in AI: An Overview.- 4.2 Possibilistic Reasoning in Multidimensional Hypotheses Spaces.- 4.3 Hybrid Reasoning with FUZZYNEX.- 4.4 The Semantics of Imprecision in Terminological Logics.- 5 Theory of Fuzzy Systems.- 5.1 Theory of Fuzzy Systems: An Overview.- 5.2 Solvability Considerations for Non-Elementary Fuzzy Relational Equations.- 5.3 Monoidal Logic.- 5.4 Interpolation and Approximation of Real Input-Output Functions Using Fuzzy Rule Bases.- 5.5 Defuzzification as Crisp Decision Under Fuzzy Constraints New Aspects of Theory and Improved Defuzzification Algorithms.- 5.6 Uncertainty and Fuzziness.- 6 Fuzzy Classification.- 6.1 Fuzzy Classification: An Overview.- 6.2 Fuzzy Pattern Classification Methodology and Application .- 6.3 A Fuzzy Method to Spectra Interpretation.- 6.4 Fuzzy Elastic Matching of Medical Objects Using Fuzzy Geometric Representations.- 6.5 FRED Fuzzy Preference Decision Support System A Knowledge-Based Approach for Fuzzy Multiattribute Preference Decision Making.- Authors.