{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:10:26Z","timestamp":1762341026658},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319668239"},{"type":"electronic","value":"9783319668246"}],"license":[{"start":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T00:00:00Z","timestamp":1504051200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-66824-6_9","type":"book-chapter","created":{"date-parts":[[2017,8,29]],"date-time":"2017-08-29T05:34:30Z","timestamp":1503984870000},"page":"92-103","source":"Crossref","is-referenced-by-count":2,"title":["An Enhanced Approach to Rule Base Simplification of First-Order Takagi-Sugeno Fuzzy Inference Systems"],"prefix":"10.1007","author":[{"given":"Caro","family":"Fuchs","sequence":"first","affiliation":[]},{"given":"Anna","family":"Wilbik","sequence":"additional","affiliation":[]},{"given":"Saskia","family":"van Loon","sequence":"additional","affiliation":[]},{"given":"Arjen-Kars","family":"Boer","sequence":"additional","affiliation":[]},{"given":"Uzay","family":"Kaymak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,30]]},"reference":[{"issue":"2\u20133","key":"9_CR1","first-page":"255","volume":"17","author":"J Alcal\u00e1","year":"2010","unstructured":"Alcal\u00e1, J., Fern\u00e1ndez, A., Luengo, J., Derrac, J., Garc\u00eda, S., S\u00e1nchez, L., Herrera, F.: Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework. J. Mult. Valued Logic Soft Comput. 17(2\u20133), 255\u2013287 (2010)","journal-title":"J. Mult. Valued Logic Soft Comput."},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Alonso, J.M., Magdalena, L.: Special issue on interpretable fuzzy systems (2011)","DOI":"10.1016\/j.ins.2011.07.001"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Alonso, J.M., Castiello, C., Mencar, C.: Interpretability of fuzzy systems: current research trends and prospects. In: Springer Handbook of Computational Intelligence. Springer, pp. 219\u2013237 (2015)","DOI":"10.1007\/978-3-662-43505-2_14"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Bezdek, J.C.: Models for pattern recognition. In: Pattern Recognition with Fuzzy Objective Function Algorithms. Springer, pp. 1\u201313 (1981)","DOI":"10.1007\/978-1-4757-0450-1_1"},{"issue":"3","key":"9_CR5","doi-asserted-by":"crossref","first-page":"267","DOI":"10.3233\/IFS-1994-2306","volume":"2","author":"SL Chiu","year":"1994","unstructured":"Chiu, S.L.: Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst. 2(3), 267\u2013278 (1994)","journal-title":"J. Intell. Fuzzy Syst."},{"issue":"1","key":"9_CR6","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.asoc.2009.12.023","volume":"11","author":"CY Fan","year":"2011","unstructured":"Fan, C.Y., Chang, P.C., Lin, J.J., Hsieh, J.: A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification. Appl. Soft Comput. 11(1), 632\u2013644 (2011)","journal-title":"Appl. Soft Comput."},{"issue":"3","key":"9_CR7","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/91.928739","volume":"9","author":"S Guillaume","year":"2001","unstructured":"Guillaume, S.: Designing fuzzy inference systems from data: an interpretability-oriented review. IEEE Trans. Fuzzy Syst. 9(3), 426\u2013443 (2001)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9_CR8","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"13","key":"9_CR9","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1016\/S0890-6955(02)00078-0","volume":"42","author":"SY Ho","year":"2002","unstructured":"Ho, S.Y., Lee, K.C., Chen, S.S., Ho, S.J.: Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system. Int. J. Mach. Tools Manufact. 42(13), 1441\u20131446 (2002)","journal-title":"Int. J. Mach. Tools Manufact."},{"key":"9_CR10","unstructured":"Huang, Z.: Rule model simplification. PhD thesis, University of Edinburgh. College of Science and Engineering. School of Informatics (2006)"},{"key":"9_CR11","unstructured":"Jaccard, P.: Etude comparative de la distribution florale dans une portion des Alpes et du Jura. Impr. Corbaz (1901)"},{"key":"9_CR12","volume-title":"Neuro-fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence","author":"JSR Jang","year":"1997","unstructured":"Jang, J.S.R., Sun, C.T., Mizutani, E.: Neuro-fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence. Prentice Hall, Upper Saddle River (1997)"},{"issue":"2","key":"9_CR13","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1109\/91.842154","volume":"8","author":"Y Jin","year":"2000","unstructured":"Jin, Y.: Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Trans. Fuzzy Syst. 8(2), 212\u2013221 (2000)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Kaymak, U., Babuska, R.: Compatible cluster merging for fuzzy modelling. In: Proceedings of International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, Fuzzy Systems 1995, vol. 2, pp. 897\u2013904. IEEE (1995)","DOI":"10.1109\/FUZZY.1995.409789"},{"issue":"1\u20132","key":"9_CR15","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/0020-0255(93)90070-3","volume":"71","author":"L K\u00f3czy","year":"1993","unstructured":"K\u00f3czy, L., Hirota, K.: Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases. Inf. Sci. 71(1\u20132), 169\u2013201 (1993)","journal-title":"Inf. Sci."},{"issue":"3","key":"9_CR16","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1109\/6104.956807","volume":"24","author":"A Kusiak","year":"2001","unstructured":"Kusiak, A.: Feature transformation methods in data mining. IEEE Trans. Electron. Packag. Manufact. 24(3), 214\u2013221 (2001)","journal-title":"IEEE Trans. Electron. Packag. Manufact."},{"issue":"11\u201312","key":"9_CR17","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1002\/(SICI)1098-111X(199711\/12)12:11\/12<891::AID-INT7>3.0.CO;2-S","volume":"12","author":"E Levrat","year":"1997","unstructured":"Levrat, E., Voisin, A., Bombardier, S., Br\u00e9mont, J.: Subjective evaluation of car seat comfort with fuzzy set techniques. Int. J. Intell. Syst. 12(11\u201312), 891\u2013913 (1997)","journal-title":"Int. J. Intell. Syst."},{"issue":"2","key":"9_CR18","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"2","key":"9_CR19","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1007\/s11605-007-0427-1","volume":"12","author":"GB Melton","year":"2008","unstructured":"Melton, G.B., Steele, K.E., Schweitzer, M.A., Lidor, A.O., Magnuson, T.H.: Suboptimal weight loss after gastric bypass surgery: correlation of demographics, comorbidities, and insurance status with outcomes. J. Gastrointest. Surg. 12(2), 250\u2013255 (2008)","journal-title":"J. Gastrointest. Surg."},{"issue":"2","key":"9_CR20","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1164\/ajrccm.160.2.9809013","volume":"160","author":"T Nemoto","year":"1999","unstructured":"Nemoto, T., Hatzakis, G.E., Thorpe, C.W., Olivenstein, R., Dial, S., Bates, J.H.: Automatic control of pressure support mechanical ventilation using fuzzy logic. Am. J. Respir. Crit. Care Med. 160(2), 550\u2013556 (1999)","journal-title":"Am. J. Respir. Crit. Care Med."},{"issue":"4","key":"9_CR21","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1016\/j.dsp.2006.09.005","volume":"17","author":"K Polat","year":"2007","unstructured":"Polat, K., G\u00fcne\u015f, S.: An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease. Digital Sig. Process. 17(4), 702\u2013710 (2007)","journal-title":"Digital Sig. Process."},{"issue":"5","key":"9_CR22","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1080\/00207179108934205","volume":"54","author":"G Raju","year":"1991","unstructured":"Raju, G., Zhou, J., Kisner, R.A.: Hierarchical fuzzy control. Int. J. Control 54(5), 1201\u20131216 (1991)","journal-title":"Int. J. Control"},{"issue":"3","key":"9_CR23","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1109\/3477.678632","volume":"28","author":"M Setnes","year":"1998","unstructured":"Setnes, M., Babuska, R., Kaymak, U., van Nauta Lemke, H.R.: Similarity measures in fuzzy rule base simplification. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 28(3), 376\u2013386 (1998)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"issue":"3","key":"9_CR24","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1006\/jaer.2001.0705","volume":"79","author":"M Shahin","year":"2001","unstructured":"Shahin, M., Tollner, E., McClendon, R.: Ae\u2013automation and emerging technologies: artificial intelligence classifiers for sorting apples based on watercore. J. Agric. Eng. Res. 79(3), 265\u2013274 (2001)","journal-title":"J. Agric. Eng. Res."},{"key":"9_CR25","unstructured":"Sugeno, M., Griffin, M., Bastian, A.: Fuzzy hierarchical control of an unmanned helicopter. In: 17th IFSA World Congress, pp. 179\u2013182 (1993)"},{"issue":"2","key":"9_CR26","doi-asserted-by":"crossref","first-page":"560S","DOI":"10.1093\/ajcn\/55.2.560s","volume":"55","author":"HJ Sugerman","year":"1992","unstructured":"Sugerman, H.J., Kellum, J.M., Engle, K.M., Wolfe, L., Starkey, J.V., Birkenhauer, R., Fletcher, P., Sawyer, M.J.: Gastric bypass for treating severe obesity. Am. J. Clin. Nutrition 55(2), 560S\u2013566S (1992)","journal-title":"Am. J. Clin. Nutrition"},{"key":"9_CR27","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"1","author":"T Takagi","year":"1985","unstructured":"Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 1, 116\u2013132 (1985)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"3","key":"9_CR28","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1381\/096089200321643511","volume":"10","author":"AC Wittgrove","year":"2000","unstructured":"Wittgrove, A.C., Clark, G.W.: Laparoscopic gastric bypass, roux en-y - 500 patients: technique and results, with 3\u201360 month follow-up. Obesity Surg. 10(3), 233\u2013239 (2000)","journal-title":"Obesity Surg."},{"issue":"2","key":"9_CR29","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/S0165-0114(02)00112-4","volume":"132","author":"N Xiong","year":"2002","unstructured":"Xiong, N., Litz, L.: Reduction of fuzzy control rules by means of premise learning - method and case study. Fuzzy Sets Syst. 132(2), 217\u2013231 (2002)","journal-title":"Fuzzy Sets Syst."},{"issue":"2","key":"9_CR30","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1109\/91.755394","volume":"7","author":"Y Yam","year":"1999","unstructured":"Yam, Y., Baranyi, P., Yang, C.T.: Reduction of fuzzy rule base via singular value decomposition. IEEE Trans. Fuzzy Syst. 7(2), 120\u2013132 (1999)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9_CR31","doi-asserted-by":"crossref","unstructured":"Yasunobu, S., Miyamoto, S., Ihara, H.: Fuzzy control for automatic train operation system. In: IFAC\/IFIP\/IFORS Conference on Control in Transportation Systems (4th). Control in Transportation Systems (1984)","DOI":"10.1016\/B978-0-08-029365-3.50010-9"},{"issue":"1","key":"9_CR32","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1109\/3477.740162","volume":"29","author":"J Yen","year":"1999","unstructured":"Yen, J., Wang, L.: Simplifying fuzzy rule-based models using orthogonal transformation methods. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 29(1), 13\u201324 (1999)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"issue":"3","key":"9_CR33","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338\u2013353 (1965)","journal-title":"Information and Control"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Fuzzy Logic and Technology 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-66824-6_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,16]],"date-time":"2020-10-16T13:04:02Z","timestamp":1602853442000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-66824-6_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,30]]},"ISBN":["9783319668239","9783319668246"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-66824-6_9","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017,8,30]]}}}