{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T23:10:01Z","timestamp":1745968201407,"version":"3.40.4"},"reference-count":17,"publisher":"Tech Science Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Intelligent Automation & Soft Computing"],"published-print":{"date-parts":[[2006,1]]},"DOI":"10.1080\/10798587.2006.10642925","type":"journal-article","created":{"date-parts":[[2013,3,2]],"date-time":"2013-03-02T07:54:45Z","timestamp":1362210885000},"page":"189-209","source":"Crossref","is-referenced-by-count":12,"title":["Fuzzy Adaptive Logic Networks as Hybrid Models of Quantitative Software Engineering"],"prefix":"10.32604","volume":"12","author":[{"given":"Witold","family":"Pedrycz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arnon","family":"Breuer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolino J.","family":"Pizzi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","reference":[{"key":"CIT0005","unstructured":"L. Breiman, Bias, Variance and Arcing Classifiers. Technical Report 460, Statistics Department, University of California, Berkeley, 1996."},{"key":"CIT0008","unstructured":"R. O. Duda and P. E. Hart, D. G. Stork,Pattern Classifzcation, 2nd Edition, John Wiley &Sons, NY, 2001."},{"key":"CIT0009","unstructured":"Y. Freund and R. E. Schapire, Experiments with a New Boosting Algorithm,Proceedings of the International Conference on Machine Learning (ICML-96), pp. 148\u2013156, 1996."},{"key":"CIT0012","unstructured":"M. H. Hassoun, Fundamentals of Artificial Neural Networks, MIT Press, Cambridge, MA, 1995."},{"key":"CIT0013","unstructured":"S. Haykin,Neural Networks: a Comprehensive Foundation, Macmillan College Publ, 1994."},{"key":"CIT0017","unstructured":"R. Maclin and D. Opitz, An Empirical Evaluation of Bagging and Boosting,in Proceedings of the fourteenth International Conference on Artifzcial Intelligence, pp. 546\u2013551, Cambridge, MA. AAAI Press\/MIT Press, 1997."},{"key":"CIT0018","unstructured":"J. C. Munson and T. M. Khoshgoftaar, Software metrics for reliability assessment, in:Handbook of Software Reliability and System Reliability, McGraw-Hill, Inc., Hightstown, NJ, 1996."},{"key":"CIT0019","unstructured":"P. M. Murphy and D. W. Aha, UCI repository of Machine Learning Databases, University of California, Department of Information and Computer Science, Irvine CA, 1994."},{"key":"CIT0022","unstructured":"W. Pedrycz,Computational Intelligence: An Introduction, CRC Press, Boca Raton, FL, 1997."},{"key":"CIT0025","unstructured":"W. Pedrycz, A. Breuer, and N. J. Pizzi, Fuzzy adaptive logic networks: at the junction of geometry and logic,Pattern Recognition, 2004 (submitted for review)."},{"key":"CIT0026","unstructured":"W. Pedrycz and F. Gomide, An Introduction to Fuzzy Sets, Cambridge, MIT Press, Cambridge, MA."},{"key":"CIT0029","unstructured":"J. Quinlan, Bagging, Boosting, and C4.5, inThirteenth National Conference on Artifzcial Intelligence, (Cambridge), pp. 163\u2013175, AAAI Press\/MIT Press, 1996."},{"key":"CIT0030","doi-asserted-by":"crossref","unstructured":"V. Ramurthi and J. Ghosh, Structural adaptation in mixture of experts,Proc. of ICPR, pp. 704\u2013708, 1996.","DOI":"10.1109\/ICPR.1996.547656"},{"key":"CIT0031","doi-asserted-by":"crossref","unstructured":"R. E. Schapire, The Boosting Approach to Machine Learning: an Overview, inMSRI Workshop on Nonlinear Estimation and Classifzcation, 2002.","DOI":"10.1007\/978-0-387-21579-2_9"},{"key":"CIT0033","unstructured":"B. von Schmidt and F. Klawonn, Construction of a Multilayer Perceptron for a Piecewise Linearly Separable Classification Problem,Proc. IFSA\u2009\/NAFIPS 2001, paper ID 231."},{"key":"CIT0036","doi-asserted-by":"crossref","unstructured":"T. A. Sudkamp and R. J. Hammell II, Granularity and specificity in fuzzy function approximation, in Proc.NAFIPS-98, pp. 105\u2013109, 1998.","DOI":"10.1109\/NAFIPS.1998.715546"},{"key":"CIT0037","unstructured":"L. A. Zadeh, Fuzzy sets and information granularity, In: M.M. Gupta, R.K. Ragade, R.R. Yager, eds.Advances in Fuzzy Set Theory and Applications, North Holland, Amsterdam, pp. 3\u201318, 1979."}],"container-title":["Intelligent Automation & Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/autosoftjournal.net\/viewPaper.php?paper=10642925","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T22:50:16Z","timestamp":1745967016000},"score":1,"resource":{"primary":{"URL":"http:\/\/autosoftjournal.net\/paperShow.php?paper=10642925"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,1]]},"references-count":17,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2006,1]]}},"alternative-id":["10.1080\/10798587.2006.10642925"],"URL":"https:\/\/doi.org\/10.1080\/10798587.2006.10642925","relation":{},"ISSN":["1079-8587","2326-005X"],"issn-type":[{"type":"print","value":"1079-8587"},{"type":"electronic","value":"2326-005X"}],"subject":[],"published":{"date-parts":[[2006,1]]}}}