An Introduction to Fuzzy Logic Applications in Intelligent Systems - The Springer International Series in Engineering and Computer Science 1992 edition

Marc Notes: Includes bibliographical references and index. Table of Contents: Knowledge Representation in Fuzzy Logic; L. A. Zadeh. Expert Systems Using Fuzzy Logic; R. R. Yager. Fuzzy Rules in Knowledge-Based Systems; D. Dubois, H. Prade. Fuzzy Logic Controllers; H. Berenji. Methods and Applications of Fuzzy Mathematical Programming; H. J. Zimmermann. Fuzzy Set Methods in Computer Vision; J. M. Keller, R. Krishnapuram. Fuzziness, Image Information and Scene Analysis; S. K. Pal. Fuzzy Sets in Natural Language Processing; V. Novak. Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine Interactions; W. Karwowski, G. Salvendy. Questionnaires and Fuzziness; B. Bouchon-Meunier. Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and Biology; E. Sanchez. The Representation and Use of Uncertainty and Metaknowledge in Milord; R. Lopez de Montaras, C. Sierra, J. Augusti. Fuzzy Logic with Linguistic Quantifiers in Group Decision Making; J. Kacprzyk, M. Fedrizzi, H. Nurmi. Learning in Uncertain Environments; M. Botta, A. Giordana, L. Saitta. Evidential Reasoning Under Probabilistic and Fuzzy Uncertainties; J. F. Baldwin. Probabilistic Sets-Probabilistic Extension of Fuzzy Sets; K. Hirota. Index. Publisher Marketing: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapter written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems.