News
from the ERUDIT Nodes / New Book
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Developing an Efficient Cash Flow Management Strategies of Investment Funds: An Application of Analytic Hierarchy Process Published in: Proceedings of 6th National Management Congress,
Antalya, 12-14 November 1998, pp: 557-568.
Diagnosing and Curing Business Problems: A Fuzzy Decision Support Model Published in: Proceedings of 2nd International Manufacturing System,
August 6-7, 1998, vol.2, pp.1067-1071.
Design of Very High Speed CMOS Fuzzy Processors for Applications in High Energy Physics Experiments Presented at: MicroNeuro '99 - 7th International Conference on
Microelectronics for Neural, Fuzzy and and Bio-inspired Systems,
Granada, Spain, April 7-9, 1999
A two input fuzzy chip running at a processing rate of 30 nanosecond realized in 0.35 micron CMOS technology Presented at: 3rd IMACS/IEEE CSCC'99 - International Multiconference
on: Circuits, Systems, Communications and Computers (CSCC'99) Atene
July 4-8, 1999
Session on 'Computational Intelligence in Telecommunication Networks' Organized by A. Vasilakos for EUFIT '99, September13-16, 1999,
Aachen, Germany.
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Developing an Efficient Cash Flow Management Strategies of Investment Funds: An Application of Analytic Hierarchy Process Cemil Albarak from Istanbul Technical University, Management Engineering Department contemplate to develope a fuzzy sets based "Financial Check Up Decision Support" Software. For this project he is looking for contribution of ERUDIT members. In further stage of this project, he may get financial support from so called KOSGEP - an government backed organisation for dealing for the problems of Small and Medium Scaled Enterprises. He would like to initiate to organise a workshop on "Applications of Fuzzy/Neural Decision Support Systems in Management". Contact: Albayrak@ayasofya.isl.itu.edu.tr |
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Falcon (Fuzzy Algorithms for Control) was one of the working groups sponsored by the EC. The participants of Falcon were the active members establishing ERUDIT. The activities of Falcon belonged to the first joint European efforts to stimulate the research and application of fuzzy sets and fuzzy logic within the EC. Some of the main research and application activities of Falcon have been gathered in an edited book published by Kluwer Academic Publishers: Title: Fuzzy Algorithms for Control Editors: Henk B. Verbruggen Dept. of Electrical Engineering, Delft University of Technology, The Netherlands Hans-Jürgen Zimmermann ELITE, Aachen Institute of Technology, Germany Robert Babuska Delft University of Technology, The Netherlands The Kluwer International Series in Intelligent Technologies Volume 14 Contents: Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modeling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analyses and design issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples ofchallenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. |
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