{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T05:12:47Z","timestamp":1723353167664},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2006,10,7]],"date-time":"2006-10-07T00:00:00Z","timestamp":1160179200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2006,12,15]]},"DOI":"10.1007\/s00500-006-0107-1","type":"journal-article","created":{"date-parts":[[2006,10,6]],"date-time":"2006-10-06T02:58:08Z","timestamp":1160103488000},"page":"421-438","source":"Crossref","is-referenced-by-count":4,"title":["Creating comprehensible regression models"],"prefix":"10.1007","volume":"11","author":[{"given":"Mario","family":"Drobics","sequence":"first","affiliation":[]},{"given":"Johannes","family":"Himmelbauer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2006,10,7]]},"reference":[{"key":"107_CR1","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/0165-0114(80)90011-1","volume":"4","author":"JM Adamo","year":"1980","unstructured":"Adamo JM (1980) Fuzzy decision trees. Fuzzy sets Sys 4:207\u2013219","journal-title":"Fuzzy sets Sys"},{"key":"107_CR2","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1002\/(SICI)1098-111X(199707)12:7<523::AID-INT3>3.0.CO;2-N","volume":"12","author":"JF Baldwin","year":"1997","unstructured":"Baldwin JF, Lawry J, Martin TP (1997) A mass assignment based ID3 algorithm for decision tree induction. Int J Intell Syst 12:523\u2013552","journal-title":"Int J Intell Syst"},{"key":"107_CR3","doi-asserted-by":"crossref","unstructured":"Baranyi P, Yam Y, Tikk D, Patton RJ (2003) Trade-off between approximation accuracy and complexity: TS controller design via HOSVD based complexity minimization. In: Casillas J, Cord\u00f3n O, Herrera F, Magdalena L (eds), Interpretability Issues in Fuzzy Modeling, of Studies in Fuzziness and Soft Computing, Springer, Berlin Heidel berg New York Vol 128, pp, 249\u2013277","DOI":"10.1007\/978-3-540-37057-4_11"},{"key":"107_CR4","unstructured":"Blake CL, Merz CJ (1998) UCI repository of machine learning databases. University. of California, Irvine, Dept of Information and Computer Sciences http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"107_CR5","unstructured":"Bodenhofer U (1999a) The construction of ordering-based modifiers In Brewka G, Der R, Gottwald S, Schierwagen A, (eds) Fuzzy-Neuro Systems \u201999, Leipziger Universit\u00e4tsverlag pp 55\u201362"},{"key":"107_CR6","unstructured":"Bodenhofer U (199b) A Similarity-Based Generalization of Fuzzy Orderings, vol C 26 of Schriftenreihe der Johannes-Kepler-Universit\u00e4t Linz. Universit\u00e4tsverlag Rudolf Trauner"},{"key":"107_CR7","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1007\/978-3-540-37057-4_22","volume-title":"Interpretability issues in fuzzy modeling. vol 128 of Studies in fuzziness and soft computing","author":"U Bodenhofer","year":"2003","unstructured":"Bodenhofer U, Bauer P (2003). A formal model of interpretability of linguistic variables. In: Casillas J, Cord\u00f3n O, Herrera F, Magdalena L (eds). Interpretability issues in fuzzy modeling. vol 128 of Studies in fuzziness and soft computing. Springer, Berlin Heidel berg New York, pp 524\u2013545"},{"key":"107_CR8","volume-title":"Classification and regression trees","year":"1984","unstructured":"Breiman L, Friedman J, Stone CJ, Olshen RA, (eds) (1984) Classification and regression trees. CRC Press Bow, Raton"},{"issue":"4","key":"107_CR9","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1515\/jiip.2002.10.4.319","volume":"10","author":"M Burger","year":"2002","unstructured":"Burger M, Haslinger J, Bodenhofer U, Engl HW (2002) Regularized data-driven construction of fuzzy controllers. J Inverse Ill-Posed Probl 10(4):319\u2013344","journal-title":"J Inverse Ill-Posed Probl"},{"key":"107_CR10","volume-title":"Interpretability issues in fuzzy modeling, vol 128 of Studies in fuzziness and soft computing","year":"2003","unstructured":"Casillas J, Cord\u00f3n O, Herrera F, Magdalena L ed. (2003) Interpretability issues in fuzzy modeling, vol 128 of Studies in fuzziness and soft computing. Springer, Berlin Heidelberg Newyork"},{"key":"107_CR11","doi-asserted-by":"crossref","unstructured":"Castellano G, Fanelli AM, Mencar C (2002) A double-clustering approach for interpretable granulation of data. In: Proceeding of 2002 IEEE International Conference on systems, man and cybernetics, Hammamet, Tunisia","DOI":"10.1109\/ICSMC.2002.1173459"},{"key":"107_CR12","volume-title":"A practical guide to splines","author":"C de Boor","year":"1998","unstructured":"de Boor C (1998) A practical guide to splines. Springer, Heidelberg New York"},{"key":"107_CR13","unstructured":"De Cock M, Bodenhofer U, Kerre EE (2006) Modelling linguistic expressions using fuzzy relations. In: Proceedings of 6th International. Conference. on Soft Computing, pp 353\u2013360, Iizuka"},{"key":"107_CR14","unstructured":"Draper NR, Smith H, Applied Regression Analysis. John Wiley & Sons, New York"},{"key":"107_CR15","doi-asserted-by":"crossref","unstructured":"Drobics M (2004) Choosing the best predicates for data-driven fuzzy modeling. In: Proceedings of . 13th IEEE international conference. on fuzzy systems, Budapests pp 245\u2013249","DOI":"10.1109\/FUZZY.2004.1375727"},{"key":"107_CR16","doi-asserted-by":"crossref","unstructured":"Guillaume S, Charnomordic B (2004) Generating an interpretable family of fuzzy partitions from data. IEEE Trans Fuzzy Syst, 12(3)","DOI":"10.1109\/TFUZZ.2004.825979"},{"key":"107_CR17","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0888-613X(02)00078-6","volume":"32","author":"F H\u00f6ppner","year":"2005","unstructured":"H\u00f6ppner F, Klawonn F (2005) Improved fuzzy partitions for fuzzy regression models. Internat J Approx Reason 32:85\u2013102","journal-title":"Internat J Approx Reason"},{"key":"107_CR18","doi-asserted-by":"crossref","unstructured":"Janikow CZ, Fuzzy decision trees: issues and methods. IEEE Trans Syst Man Cybern B 28(1): 1\u201314","DOI":"10.1109\/3477.658573"},{"key":"107_CR19","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/0165-0114(95)00350-9","volume":"85","author":"F Klawonn","year":"1997","unstructured":"Klawonn F, Kruse R (1997) Constructing a fuzzy controller from data. Fuzzy Sets Systems 85:177\u2013193","journal-title":"Fuzzy Sets Systems"},{"key":"107_CR20","doi-asserted-by":"crossref","unstructured":"Maher PE, Clair DS, (1993) Uncertain reasoning in an ID3 machine learning framework. In: Proceeding of 2nd IEEE international Conference on fuzzy systems, San Francisco, CA","DOI":"10.1109\/FUZZY.1993.327472"},{"issue":"6","key":"107_CR21","first-page":"689","volume":"36","author":"C Marsala","year":"2000","unstructured":"Marsala C (2000) Fuzzy decision trees to help flexible querying. Kybernetika 36(6):689\u2013705","journal-title":"Kybernetika"},{"key":"107_CR22","volume-title":"Parallel distributed processing\u2014exploration in the Microstructures of Cognition, Vol II: Psychological and Biological Models","year":"1996","unstructured":"McClelland JL, Rumelhart DE ed. (1996) Parallel distributed processing\u2014exploration in the Microstructures of Cognition, Vol II: Psychological and Biological Models. MIT Press, Cambridge"},{"key":"107_CR23","unstructured":"Mikut R, J\u00e4kel J, Gr\u00f6ll L (2000) Automatic design of interpretable membership functions. In: Proceeding of 8th zittau fuzzy colloquium, Hochschule Zittau\/G\u00f6rlitz"},{"key":"107_CR24","doi-asserted-by":"crossref","unstructured":"Mikut R, J\u00e4kel J, Gr\u00f6ll L, Interpretability issues in data-based learning of fuzzy systems. Fuzzy Sets and Syst 150: 179\u2013197","DOI":"10.1016\/j.fss.2004.06.006"},{"key":"107_CR25","doi-asserted-by":"crossref","unstructured":"Nelles O, Fink A, Isermann R (2000) Local linear model trees (LOLIMOT) toolbox for nonlinear system identification. In: Proceeding of 12th IFAC symposium on system Identification, Santa Barbara","DOI":"10.1016\/S1474-6670(17)39858-0"},{"issue":"2","key":"107_CR26","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/S0165-0114(03)00089-7","volume":"138","author":"C Olaru","year":"2003","unstructured":"Olaru C, Wehenkel L (2003) A complete fuzzy decision tree technique. Fuzzy Sets Syst 138(2):221\u2013254","journal-title":"Fuzzy Sets Syst"},{"key":"107_CR27","unstructured":"Peng Y, Flach PA (2001) Soft discretization to enhance the continuous decision tree induction. In: Proceeding of ECML\/PKDD01 workshop integrating aspects of data mining, decision support and meta-learning, PP 109\u2013118"},{"key":"107_CR28","unstructured":"Quinlan JR (1992) Learning with continuous classes. In: Proceeding of 5th Australin Joint Conference on artificial intelligence, pp 343\u2013348"},{"key":"107_CR29","unstructured":"Quinlan JR, C4.5: Programs for machine learning. Morgan Kaufmann, San Mateo"},{"key":"107_CR30","unstructured":"Regattieri Delgado JR, Von Zuben F, Gomide F (2001) Local and global estimation of Takagi-Sugeno consequent parameters in genetic fuzzy systems. In: Proceeding of Joint 9th IFSA world congress and 20th NAFIPS International Confference,"},{"key":"107_CR31","unstructured":"Rumelhart DE, McClelland JL, Parallel distributed processing\u2014exploration in the microstructures of cognition, Vol I: Foundations. MIT Press, Cambridge"},{"issue":"1","key":"107_CR32","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"15","author":"T Takagi","year":"1985","unstructured":"Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15(1):116\u2013132","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"107_CR33","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/S0165-0114(97)00386-2","volume":"112","author":"X Wang","year":"2006","unstructured":"Wang X, Chen B, Qian G, Ye F (2006) On the optimization of fuzzy decision trees. Fuzzy Sets Syst 112:117\u2013125","journal-title":"Fuzzy Sets Syst"},{"key":"107_CR34","unstructured":"Witten IH, Frank E Data mining: practical machine learning tools with Java implementations. Morgan Kaufmann"},{"issue":"8","key":"107_CR35","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1109\/21.299710","volume":"24","author":"RR Yager","year":"1994","unstructured":"Yager RR, Filev E, Sanmateo (1994) Approximate clustering via the mountain method. IEEE Trans Syst Man Cybern 24(8):1279\u20131284","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"107_CR36","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/0165-0114(94)00229-Z","volume":"69","author":"Y Yuan","year":"1999","unstructured":"Yuan Y, Shaw MJ (1999) Induction of fuzzy decision trees. Fuzzy Sets and Syst 69:125\u2013139","journal-title":"Fuzzy Sets and Syst"},{"key":"107_CR37","doi-asserted-by":"crossref","unstructured":"Zadeh LA, Fuzzy sets. Inf. Control 8:338\u2013353","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"107_CR38","unstructured":"Zeidler J, Schlosser M (1996) Continuous valued attributes in fuzzy decision trees. In: Proc 8th Int conf. on information processing and management of uncertainty in knowledge-based systems, pp 395\u2013400"},{"key":"107_CR39","unstructured":"Zurada JM, Introduction to Artificial Neural Networks. West Publishing, St. Paul"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-006-0107-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-006-0107-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-006-0107-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T21:39:48Z","timestamp":1559079588000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-006-0107-1"}},"subtitle":["Inductive learning and optimization of fuzzy regression trees using comprehensible fuzzy predicates"],"short-title":[],"issued":{"date-parts":[[2006,10,7]]},"references-count":39,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2006,12,15]]}},"alternative-id":["107"],"URL":"https:\/\/doi.org\/10.1007\/s00500-006-0107-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,10,7]]}}}