D. Thorleuchter et al. Expert Systems with Applications 37(2010)7182-7188 Dagdeviren, M, Yavuz, S,& Kilinc, N (2009). Weapon selection using the AHP and Porter, M. F(1980).An m for suffix stripping. Program, 130-137. PSiS methods under fuzzy environment. Expert Systems with Applications, 36, Puppe, F Stoyan, H, Studer, R(2003) Fenner,J& Thorleuchter, D (2009) Textmining-Analyse von Forschungsvorhaben P61】MmDg4 ndbuch der Kainstlichen Intelli des National Institute of Standards and Technology. Euskirchen: Fraunhofer INT teller objekte der Forschungsforderung. In H. Paschen H. Krauch Ferber, R (2003). Information retrieval. Heidelberg: dpunkt verlag. pp 74-80 esch, R(1948) A new readability yardstick. Journal of Applied Psychology, 32, (Eds ) Methoden und probleme der Forschungs- und Entwicklungsplanung(pp. 47). Rohpohl, G.(1996). Das Ende der Natur. In L Schafer E. Straker (Eds ) Gentsch, P,& Hanlein, M. (1999). Text mining. WSU. 12, 1646. er, D.(2008). Finding technological ideas and inventions with text for special purpo gy research. Berlin: Walt Tho ., Prinze, A (2010a). A compared R& D-based and Hotho, A, Numberger, A& Paak, G(2005). A brief survey of text mining. LDV patent-based cross impact analysis for identifying relationships between technologies. Technological Forecasting and Social Change, doi: 10.1016/ Langer, L, Schulz V. Thun, F,& Tausch, R.(1974). Verstandlichkeit in Schule und Thorleuchter, D, Van den Poel, D, Prinze, A(2010b) Extracting consumers needs Li, Y R, Wang. L H, Hong C F (2009). Extracting the significant-rare keywords for patent analysis. Expert Systems with Applications, 36, 5200-5204. gMD040知 lamine n m Gon&QLu(E Martin-Bautista, M. J- Sanches. D, Serrano, M,& vila, M. A (2004) Text mining Thorleuchter, D, Van den Poel, D Prinzie, A(201 ing fuzzy association rules In V Loia, M. Nikravesh, &LA Zadeh(Eds Fuzzy ent. In H. Locarek-Junge, C. logic and the internet(pp. 173). Berlin: Springer-Verlag. Weihs(Eds ). Classification as a tool for research. Berlin: Springer-verla Osborn, A-F. (1948) Your creative power. New York: C. Scribner,s sons. Wallas, G (1926). The art of thought. New York: Harcourt Brace.Dagdeviren, M., Yavuz, S., & Kilinc, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36, 8150. Fenner, J., & Thorleuchter, D. (2009). Textmining-Analyse von Forschungsvorhaben des National Institute of Standards and Technology. Euskirchen: Fraunhofer INT Edition. Ferber, R. (2003). Information retrieval. Heidelberg: dpunkt.verlag. pp. 74–80. Flesch, R. (1948). A new readability yardstick. Journal of Applied Psychology, 32, 221–233. Gentsch, P., & Hänlein, M. (1999). Text mining. WISU, 12, 1646. Groeben, N. (1982). Leserpsychologie: Textverständnis – Textverständlichkeit. Münster: Aschendorff. Hoffmann, L., Kalverkämper, H., & Wiegand, H. E. (1998). Fachsprachen – Languages for special purposes: Ein internationales Handbuch zur Fachsprachenforschung und Terminologiewissenschaft – An international handbook of special-language and terminology research. Berlin: Walter de Gruyter. p. 1602. Hotho, A., Nürnberger, A., & Paaß, G. (2005). A brief survey of text mining. LDV Forum, 20(1), 19–26. Langer, I., Schulz v. Thun, F., & Tausch, R. (1974). Verständlichkeit in Schule und Verwaltung. München: Ernst Reinhardt. Li, Y. R., Wang, L. H., & Hong, C. F. (2009). Extracting the significant-rare keywords for patent analysis. Expert Systems with Applications, 36, 5200–5204. Martin-Bautista, M. J., Sanches, D., Serrano, J. M., & Vila, M. A. (2004). Text mining using fuzzy association rules. In V. Loia, M. Nikravesh, & L. A. Zadeh (Eds.), Fuzzy logic and the internet (pp. 173). Berlin: Springer-Verlag. Osborn, A.-F. (1948). Your creative power. New York: C. Scribner’s sons. Porter, M. F. (1980). An algorithm for suffix stripping. Program, 14(3), 130–137. Puppe, F., Stoyan, H., & Studer, R. (2003). Knowledge engineering. In G. Görz, C. R. Rollinger, & J. Schneeberger (Eds.), Handbuch der Künstlichen Intelligenz (pp. 611). München: Oldenbourg. Ripke, M., & Stöber, G. (1972). Probleme und Methoden der Identifizierung potentieller Objekte der Forschungsförderung. In H. Paschen & H. Krauch (Eds.), Methoden und Probleme der Forschungs- und Entwicklungsplanung (pp. 47). München: Oldenbourg. Rohpohl, G. (1996). Das Ende der Natur. In L. Schäfer & E. Sträker (Eds.), Naturauffassungen in Philosophie, Wissenschaft und Technik, Freiburg (pp. 143–163). München: Alber. Thorleuchter, D. (2008). Finding technological ideas and inventions with text mining and technique philosophy. In C. Preisach, H. Burkhardt, L. Schmidt￾Thieme, & R. Decker (Eds.), Data analysis, machine learning, and applications (pp. 413–420). Berlin: Springer-Verlag. Thorleuchter, D., Van den Poel, D., & Prinzie, A. (2010a). A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies. Technological Forecasting and Social Change, doi:10.1016/ j.techfore.2010.03.002. Thorleuchter, D., Van den Poel, D., & Prinzie, A. (2010b). Extracting consumers needs for new products - a web mining approach. In M. Gong, & Q. Luo (Eds.), Proceedings WKDD 2010 (pp. 440). Los Alamitos: IEEE Computer Society. Thorleuchter, D., Van den Poel, D., & Prinzie, A. (2010c). Mining innovative ideas to support new product research and development. In H. Locarek-Junge, & C. Weihs (Eds.), Classification as a tool for research. Berlin: Springer-Verlag. Wallas, G. (1926). The art of thought. New York: Harcourt Brace. 7188 D. Thorleuchter et al. / Expert Systems with Applications 37 (2010) 7182–7188