caa a22 4500 605470596 CHVBK 20210128100328.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00500-014-1263-3 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1263-3 Performance evaluation of industrial enterprises via fuzzy inference system approach: a case study [Elektronische Daten] [Gözde Ulutagay, Fatih Ecer, Efendi Nasibov] The aim of this study is not only to give self-contained and methodological steps of data mining with its areas of applications, but also to provide a compact source of reference for the researchers who want to use data mining and fuzzy inference in their area of work. We construct a fuzzy inference system to predict the profit of the major 500 industrial enterprises of Turkey. For this aim, we use most of the data mining tools. First, we use fuzzy $$c$$ c -means clustering algorithm and obtain the linguistic terms of the variables. Having used decision tree technique, fuzzy rules are revealed. Eventually, we compare various defuzzification strategies to obtain crisp prediction values of our fuzzy inference system. We can conclude that the prediction results of the smallest of maxima defuzzification strategy-based fuzzy inference system has circa 40% smaller sum square error than that of classical regression model. Springer-Verlag Berlin Heidelberg, 2014 Data mining nationallicence Soft computing nationallicence Fuzzy inference system nationallicence Fuzzy clustering nationallicence Decision tree nationallicence Ulutagay Gözde Department of Industrial Engineering, Faculty of Engineering, Izmir University, Gursel Aksel Blv. No. 14, Uckuyular, 35350, Izmir, Turkey aut Ecer Fatih Department of International Trade and Finance, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, Afyon, Turkey aut Nasibov Efendi Department of Computer Science, Faculty of Science, Dokuz Eylül University, Izmir, Turkey aut Soft Computing Springer Berlin Heidelberg 19/2(2015-02-01), 449-458 1432-7643 19:2<449 2015 19 500 https://doi.org/10.1007/s00500-014-1263-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1263-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ulutagay Gözde Department of Industrial Engineering, Faculty of Engineering, Izmir University, Gursel Aksel Blv. No. 14, Uckuyular, 35350, Izmir, Turkey aut NATIONALLICENCE 700 1- Ecer Fatih Department of International Trade and Finance, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, Afyon, Turkey aut NATIONALLICENCE 700 1- Nasibov Efendi Department of Computer Science, Faculty of Science, Dokuz Eylül University, Izmir, Turkey aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/2(2015-02-01), 449-458 1432-7643 19:2<449 2015 19 500