{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:12:12Z","timestamp":1760706732257,"version":"3.40.5"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[1998,11,1]],"date-time":"1998-11-01T00:00:00Z","timestamp":909878400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[1998,11,1]],"date-time":"1998-11-01T00:00:00Z","timestamp":909878400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Intelligence"],"published-print":{"date-parts":[[1998,11]]},"DOI":"10.1023\/a:1008315803848","type":"journal-article","created":{"date-parts":[[2002,12,22]],"date-time":"2002-12-22T14:41:38Z","timestamp":1040568098000},"page":"231-243","source":"Crossref","is-referenced-by-count":23,"title":["A Fuzzy Diagnostic Model and Its Application in Automotive Engineering Diagnosis"],"prefix":"10.1007","volume":"9","author":[{"given":"Yi","family":"Lu","sequence":"first","affiliation":[]},{"given":"Tie Qi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Brennan","family":"Hamilton","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"unstructured":"Harry Tennant, \u201cOnboard knowledge systems in vehicles,\u201d Vehicle Electronics in the 90's: Proceedings of the International Congress on Transportation Electronics, October 1990.","key":"183537_CR1"},{"unstructured":"Filljov, M. Marinov, and S. Ovcharov, \u201cEngine diagnostic expert system,\u201d in The Eighteenth International Symposium on Automotive Technology and Automation, May- June 1988.","key":"183537_CR2"},{"unstructured":"Johan de Kleer, \u201cFocusing on probable diagnoses,\u201d AAAI-91, pp. 842- 848, 1991.","key":"183537_CR3"},{"key":"183537_CR4","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/0004-3702(87)90063-4","volume":"32","author":"J. de Kleer","year":"1987","unstructured":"Johan de Kleer and Brian C. Williams, \u201cDiagnosing multiple faults,\u201d Artificial Intelligence, vol. 32, pp. 97- 130, 1987.","journal-title":"Artificial Intelligence"},{"doi-asserted-by":"crossref","unstructured":"L.S. Tedesco, \u201cService Bay Dragnostic System,\u201d Ford Motor Co., Society of Automotive Engineers, paper number 861030, 1986.","key":"183537_CR5","DOI":"10.4271\/861030"},{"unstructured":"Brennan T. Hamilton and Yi Lu, \u201cDiagnosis of automobile failures using fuzzy logic,\u201d The Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Melbourne, Australia, June 1995.","key":"183537_CR6"},{"doi-asserted-by":"crossref","unstructured":"Zheng Xiaojun, Yang Shuzi, Zhou Anfa, and Shi Hanmin, \u201cA knowledge-based diagnosis system for automobile engines,\u201d The International Journal of Advanced Manufacturing Technology, 1988.","key":"183537_CR7","DOI":"10.1007\/BF02601598"},{"doi-asserted-by":"crossref","unstructured":"M. Ayoubi, \u201cNeuro-fuzzy structure for rule generation and application in the fault diagnosis of technical processes,\u201d in Proc. American Control Conference, Seattle, USA, 1995, pp. 2757- 2761.","key":"183537_CR8","DOI":"10.1109\/ACC.1995.532351"},{"unstructured":"H. Nomura, H. Ichihashi, and T. Watanabe, \u201cA self-tuning method of fuzzy reasoning control by descent method,\u201d in Proc. of 4th IFSA Congress, Brussels, 1991, vol. Eng., pp. 155- 158.","key":"183537_CR9"},{"key":"183537_CR10","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/0165-0114(93)90436-L","volume":"60","author":"F.C.-H. Rhee","year":"1993","unstructured":"F.C.-H. Rhee and R. Krishnapuram, \u201cFuzzy rule generation methods for high-level computer vision,\u201d Fuzzy Sets and Systems, vol. 60, pp. 245- 258, 1993.","journal-title":"Fuzzy Sets and Systems"},{"issue":"1","key":"183537_CR11","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"SMC-15","author":"T. Takagi","year":"1985","unstructured":"T. Takagi and M. Sugeno, \u201cFuzzy idnetification of systems and its applicaitons to modeling and control,\u201d IEEE Trans. Syst., Man, and Cybern., vol. SMC-15, no.1, pp. 116- 132, 1985.","journal-title":"IEEE Trans. Syst., Man, and Cybern."},{"unstructured":"Alanna Quail and Adnan Shaout, \u201cState-of-the-art in household applicances using fuzzy logic,\u201d in Second International Workshop on Industrial Applications of Fuzzy Control and Intelligent Systems, College Station, TX, December 1992.","key":"183537_CR12"},{"unstructured":"R. Katayama, Y. Kajitani, and Y. Nishida, \u201cA self-generating and tuning method for fuzzy modeling using interior penalty method,\u201d in Proc. Second Int. Conf. Fuzzy Logic and Neural Networks, Iizuka, Japan, 1992, pp. 17- 22.","key":"183537_CR13"},{"doi-asserted-by":"crossref","unstructured":"H. Kang, \u201cAn automated rule design of fuzzy logic controllers for uncertain dynamic systems,\u201d in Second IEEE Int. Conf. on Fuzzy Systems, 1993, pp. 261- 266.","key":"183537_CR14","DOI":"10.1109\/FUZZY.1993.327478"},{"key":"183537_CR15","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1109\/91.324805","volume":"2","author":"C.K.P. Chu","year":"1994","unstructured":"C.K.P. Chu and J.M. Mendel, \u201cFirst break refraction event picking using fuzzy logic systems,\u201d IEEE Transactions on Fuzzy Systems, vol. 2, pp. 255- 266, November 1994.","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"183537_CR16","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/0165-0114(94)90310-7","volume":"66","author":"P. Eklund","year":"1994","unstructured":"P. Eklund, J. Forsstr\u00f6m, A. Holm, M. Nystr\u00f6m, and G. Sel\u00e9n, \u201cRule generation as an alternative to knowledge acquisition: A systems architecture for medical informatics,\u201d Fuzzy Sets and Systems, vol. 66, pp. 195- 205, 1994.","journal-title":"Fuzzy Sets and Systems"},{"key":"183537_CR17","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1109\/72.363450","volume":"6","author":"S. Mitra","year":"1995","unstructured":"S. Mitra and S.K. Pal, \u201cFuzzy multi-layer perceptron, inference and rule generation,\u201d IEEE Trans. Neural Networks, vol. 6, pp. 51- 63, 1995.","journal-title":"IEEE Trans. Neural Networks"},{"doi-asserted-by":"crossref","unstructured":"E. Tazaki and N. Inoue, \u201cA generation method for fuzzy rules using neural networks with planar lattice architecture,\u201d in Proc. IEEE Int. Conf. Neural Networks, Piscataway, USA, 1994, pp. 1743- 1748.","key":"183537_CR18","DOI":"10.1109\/ICNN.1994.374419"},{"key":"183537_CR19","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1109\/21.256565","volume":"23","author":"I.B. Turksen","year":"1993","unstructured":"I.B. Turksen and H. Zhao, \u201cAn equivalence between inductive learning and pseudo-Boolean logic simplification: A rule generation and reduction scheme,\u201d IEEE Trans. Syst., Man, Cybern., vol. 23, pp. 907- 917, 1993.","journal-title":"IEEE Trans. Syst., Man, Cybern."},{"unstructured":"T.W. Cheng, D.B. Goldgof, and L.O. Hall, \u201cFast clustering with application to fuzzy rule generation,\u201d in Proc. IEEE Int. Conf. Fuzzy Syst., Yokohama, Japan, 1995, pp. 2289- 2295.","key":"183537_CR20"},{"unstructured":"Ryu Katayama, Yuji Kajitani, and Yukiteru Nishida, \u201cA self generating and tuning method for fuzzy modeling using interior penalty method and its application to knowledge acquisition of fuzzy controller,\u201d Fuzzy Control Systems, pp. 198- 224, 1993.","key":"183537_CR21"},{"doi-asserted-by":"crossref","unstructured":"H. Ishigami, Y. Hasegawa, T. Fukuda, and T. Shibata, \u201cAutomatic generation of hierarchical structure of fuzzy inference by genetic algorithm,\u201d in IEEE Int. Conf. on Fuzzy Systems, 1994, pp. 1566- 1570.","key":"183537_CR22","DOI":"10.1109\/ICNN.1994.374389"},{"key":"183537_CR23","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern Recognition with Fuzzy Objective Function Algorithms","author":"J.C. Bezdek","year":"1981","unstructured":"J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plemun Press: New York, 1981."},{"unstructured":"Yi Lu, Hong Guo, and Lee Feldkamp, \u201cRobust neural learning from unbalanced data samples,\u201d IEEE IJCNN, 1998.","key":"183537_CR24"},{"key":"183537_CR25","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","volume":"PAMI-6","author":"S. Geman","year":"1984","unstructured":"S. Geman and D. Geman, \u201cStochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,\u201d IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-6, pp. 721- 741, 1984.","journal-title":"IEEE Trans. Pattern Anal. Machine Intell."},{"doi-asserted-by":"crossref","unstructured":"H. Genther, A. K\u00f6nig, and M. Glesner, \u201cRule weight generation for a fuzzy classification system based on fuzzy clustering methods,\u201d in Proc. 3rd IEEE Int. Conf. Fuzzy Syst., Orlando, USA, 1994, pp. 614- 617.","key":"183537_CR26","DOI":"10.1109\/FUZZY.1994.343661"},{"key":"183537_CR27","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1109\/72.159057","volume":"3","author":"L.O. Hall","year":"1992","unstructured":"L.O. Hall, A.M. Bensaid, L.P. Clarke, R.P. Velthuizen, M.S. Silbiger, and J.C. Bezdek, \u201cA comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain,\u201d IEEE Trans. Neural Networks, vol. 3, pp. 672- 682, 1992.","journal-title":"IEEE Trans. Neural Networks"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1008315803848.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1023\/A:1008315803848\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1008315803848.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T14:42:20Z","timestamp":1747579340000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1023\/A:1008315803848"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,11]]},"references-count":27,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1998,11]]}},"alternative-id":["183537"],"URL":"https:\/\/doi.org\/10.1023\/a:1008315803848","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[1998,11]]}}}