Abstract
Human beings live in a world that shows a multitude of phenomena, which can vary continuously Think of colours that can be characterized by wavelengths or frequencies of the real valued electromagnetic spectrum. The development of language has produced an inestimable tool to fmd one’s way in this cosmos of phenomena. For instance, a language offers different words such as red, yellow, green or blue to distinguish colours. Each of these words is used to label an infinite set of different pure colours that belong to a certain interval of the frequency spectrum. Thus, words allow us to handle the huge cosmos of phenomena by dividing it into suitable ‘granules’ where the words can be considered as the labels of the granules (Zadeh, 1997). To continue the example of the colours, it is interesting to note that the language of certain peoples who live in a mainly green environment contains dozens of words to distinguish slightly different kinds of green but no word that summarizes all these green colours. Obviously in the development of languages, the precision of the words that correspond to the granules adapts constantly to changing needs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zadeh, L. A.: Fuzzy Sets. Information and Control 8, 1965, pp. 338 — 353
Zadeh, L. A.: Probability Measures of Fuzzy Events. Journal of Mathematical Analysis and Applications 23, 1968, pp. 421— 427
Driankov, D., Hellendoom, H., Reinfrank, M.: An Introduction to Fuzzy Control. Springer-Verlag, Berlin 1993
Kiendl, H.: Verfahren zur Erzeugung von Stellgrößen am Ausgang eines Fuzzy-Reglers und Fuzzy-Regler hierfür. Patent DE 43 08 083, 1994
Kiendl, H.: System of controlling or monitoring processes or industrial plants employing a dual-line fuzzy unit. U.S. Patent Number 5,826, 251, 1998
Kiendl, H.: Fuzzy Control methodenorientiert, Oldenbourg-Verlag, München, Wien 1997
Lakewand, H.: Erkennen handgeschriebener Ziffern mit Hilfe der Fuzzy-Logik. Diplomarbeit Fachhochschule der Deutschen Bundespost Telekom, Berlin 1994
Kiendl, H.: Verfahren zur Defuzzifizierung für signalverarbeitende Fuzzy-Baueinheiten und Filtereinrichtung hierfür. Patent DE 44 16 465, 1995
Kiendl, H.: The inference filter. in: ELITE (Ed.), Proceedings EUFIT ‘84, Verlag der Augustinus Buchhandlung, Aachen 1994, pp. 438 — 447
Reil, G., Jessen, H.: Fuzzy contour modelling of roll bent components using inference filter. in: ELITE (Ed.): Proceedings EUFIT ‘85, Verlag der Augustinus Buchhandlung, Aachen 1995, pp. 771— 774
Kiendl, H., Knicker, R., Niewels, F.: Two-way fuzzy controllers based on hyperinference and inference filter. In: Jamshidi, M., Yuh, J., Danchez, P. (eds.), Proceedings Second World Automation Congress, Vol. 4, Intelligent Automation and Control, TSI Press, Montpellier 1996, pp. 387 — 394
Schwane, U.: Datenbasierte Generierung von Adaptionsregeln und Anwendung zur Erhöhung der Bahngenauigkeit eines Industrieroboters. Dissertation Universität Dortmund 1998. Fortschritt-Berichte VDI Reihe 8: Meß-, Steuerungs-und Regelungstechnik, VDI-Verlag Düsseldorf 1998
Kiendl, H.: Verfahren zur Defuzzifizierung far signalverarbeitende Fuzzy-Baueinheiten. Patent DE 19 640 635, 1996
Kiendl, H.: Non-translation-invariant Defuzzification. In: Proceedings of the sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE ‘87), Barcelona 1997, pp. 737 — 742
Krone, A., Schwane, U.: Generating fuzzy rules form contradictory data of different control strategies and control performances. In: Proceedings FUZZ-IEEE ‘86, New Orleans 1996, pp. 492 — 497
Schwane, U., Praczyk, J., Kiendl, H.: Adaption von Reglerparametern unter Verwendung von datenbasiert generierten positiven und negativen Fuzzy-Regeln mit Konklusionen mit mehreren Ausgangsgrößen. 7. GMAWorkshop Fuzzy Control, Forschungsbericht der Fakultät für Elektrotechnik Nr. 0397, ISSN 0941–4169, 1997, pp. 53 — 67
Paper #1237, pp. 1470 — 1475
Kiendl, H.: Next Generation Fuzzy Systems. in ELITE (Ed.): Proceedings EUFIT ‘88, Verlag der Augustinus Buchhandlung, Aachen 1998, pp. 779–788
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kiendl, H. (1999). Decision Analysis by Advanced Fuzzy Systems. In: Zadeh, L.A., Kacprzyk, J. (eds) Computing with Words in Information/Intelligent Systems 2. Studies in Fuzziness and Soft Computing, vol 34. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1872-7_10
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1872-7_10
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2461-2
Online ISBN: 978-3-7908-1872-7
eBook Packages: Springer Book Archive