Reduction of complexity in scenario analysis by means of dynamic fuzzy data analysis;Komplexitätsreduktion in der Szenarioanalyse mit Hilfe dynamischer Fuzzy-Datenanalyse

OR Spektrum

Volumn 22, Issue 3, 2000, Pages 403-420

  Hofmeister, P ^a   Joentgen, A ^a   Mikenina, L ^b   Weber, R ^c   Zimmermann, H J ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b MIT GmbH   (Germany)

^c UNIVERSITY OF CHILE   (Chile)

Author keywords

Cluster analysis; Dynamic fuzzy data analysis; Scenario analysis

Indexed keywords

EID: 0037889892     PISSN: 01716468     EISSN: None     Source Type: Journal    
DOI: 10.1007/pl00013339     Document Type: Article

References (25)

1. Bandemer H, Näther W (1992) Fuzzy data analysis. Kluwer, Dordrecht
2. Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum Press, New York
3. Brandt H, Lahmann H-W, Weber R (1996) Quality control of saw blades based on neural networks and laser vibration measurement. Second International Conference on Vibration Measurements by Laser Techniques: Advances and Applications. SPIE - The International Society for Optical Engineering, Vol 2868, pp 119-124
4. Brauers J, Weber M (1986) Szenarioanalyse als Hilfsmittel der strategischen Planung: Methodenvergleich und Darstellung einer neuen Methode. Zeitschrift für Betriebswirtschaft 56: 631-652
5. Bunn DW, Salo AA (1993) Forecasting with scenarios. European Journal of Operational Research 68: 291-303
6. Fochem M, Joentgen A, Geropp B (1997) Automatic antifriction bearing diagnosis with fuzzy-logic and neural networks. Proceedings of the First European Symposium on Applications of Intelligent Technologies (ESIT 97), Aachen, pp 19-24
7. Fochem M, Wischnewski P, Hofmeier R (1997) Quality control systems on the production line of tape deck chassis using self organizing feature maps. Proceedings of the First European Symposium on Applications of Intelligent Technologies (ESIT 97), Aachen, pp 9-13
8. Hofmeister P (1999) Evolutionäre Szenarien - dynamische Konstruktion alternativer Zukunftsbilder mit unscharfen Regelbasen. Dissertation RWTH Aachen
9. Joentgen A, Mikenina L, Weber R, Zimmermann H-J (1998) Dynamic data analysis: similarity between trajectories. In: Brauer W (ed.): Fuzzy-neuro systems '98 - Computational intelligence, pp 98-105. Infix, Sankt Augustin
10. Joentgen A, Mikenina L, Weber R, Zimmermann H-J (1999) Dynamic fuzzy data analysis based on similarity between functions. International Journal for Fuzzy Sets and Systems 105: 81-90
11. Joentgen A, Mikenina L, Weber R, Zeugner A, Zimmermann H-J (1999) Automatic fault detection in gearboxes by dynamic fuzzy data analysis. International Journal for Fuzzy Sets and Systems 105: 123-132
12. Krishnapuram R, Keller JM (1993) A possibilistic approach to clustering. IEEE Transactions on Fuzzy Systems 1: 98-110
13. Lehmann I, Weber R, Zimmermann H-J (1992) Fuzzy set theory - Die Theorie der unscharfen Mengen. OR Spektrum 14: 1-9
14. Mißler-Behr M (1993) Methoden der Szenarioanalyse. Deutscher Universitäts-Verlag, Wiesbaden
15. Mißler-Behr M (1996) Der Einsatz der unscharfen Szenarienanalyse bei der Suche nach strategischen Zukunftsbildern. Proceedings des Symposiums 'Anwendungen von Fuzzy Technologien und Neuronalen Netzen', Erlangen, 1996, S. 109-114
16. Reibnitz U v (1991) Szenario-Technik. Gabler, Wiesbaden
17. Schoemaker PJH (1993) Multiple scenario development: its conceptual and behavioral foundation. Strategic Management Journal 14:193-213
18. Schoemaker PJH (1995) Scenario planning: a tool for strategic thinking. Sloan Management Review 1995: 25-40
19. Strackeljan J, Weber R (1999) Quality control and maintenance. In: Zimmermann H-J (ed) Practical applications of fuzzy technologies, pp 161-184. Kluwer, Boston Dordrecht London
20. Tsao EC-K, Bezdek JC, Pal NR (1994) Fuzzy Kohonen clustering networks. Pattern Recognition 27: 757-764
21. Zimmermann H-J, Becker K, Rau G, Käsmacher H, Kalff G (1994) Fuzzy logic approaches in intelligent alarms. IEEE Engineering in Medicine and Biology 13: 710-717
22. Zimmermann H-J (1995) Decision support via fuzzy technology. In: Schwilden (ed) Control and automation in anesthesia, pp 63-78. Springer, Berlin Heidelberg New York
23. Zimmermann H-J (Hrsg) (1995) Datenanalyse. VDI Verlag, Düsseldorf
24. Zimmermann H-J (1996) Fuzzy set theory - and its applications, 3rd edn. Kluwer, Boston Dordrecht London
25. Zimmermann H-J (1999) Fuzzy set theory, WiST (Wirtschaftswissenschaftliches Studium), 1/1999, 28. Jg, pp 22-29. Verlage C.H. Beck und Vahlen, München Frankfurt/Main