{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T21:02:38Z","timestamp":1725570158181},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642172977"},{"type":"electronic","value":"9783642172984"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"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":[[2010]]},"DOI":"10.1007\/978-3-642-17298-4_26","type":"book-chapter","created":{"date-parts":[[2010,11,22]],"date-time":"2010-11-22T15:06:28Z","timestamp":1290438388000},"page":"250-259","source":"Crossref","is-referenced-by-count":0,"title":["Evolving Fuzzy Rules: Evaluation of a New Approach"],"prefix":"10.1007","author":[{"given":"Adam","family":"Ghandar","sequence":"first","affiliation":[]},{"given":"Zbigniew","family":"Michalewicz","sequence":"additional","affiliation":[]},{"given":"Frank","family":"Neumann","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"1","key":"26_CR1","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.eswa.2006.08.020","volume":"34","author":"P. Chang","year":"2008","unstructured":"Chang, P., Liu, C.: A tsk type fuzzy rule based system for stock price prediction. Expert Syst. Appl.\u00a034(1), 135\u2013144 (2008)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"26_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0165-0114(03)00111-8","volume":"141","author":"O. Cord\u00f3n","year":"2004","unstructured":"Cord\u00f3n, O., Gomide, F.A.C., Herrera, F., Hoffmann, F., Magdalena, L.: Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets and Systems\u00a0141(1), 5\u201331 (2004)","journal-title":"Fuzzy Sets and Systems"},{"key":"26_CR3","unstructured":"Eiben, G., van Hemert, J.: Saw-ing eas: adapting the fitness function for solving constrained problems, pp. 389\u2013402 (1999)"},{"issue":"1","key":"26_CR4","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1111\/j.1540-6261.1996.tb05202.x","volume":"51","author":"E.F. Fama","year":"1996","unstructured":"Fama, E.F., French, K.R.: Multifactor explanations of asset pricing anomalies. Journal of Finance\u00a051(1), 55\u201384 (1996)","journal-title":"Journal of Finance"},{"issue":"1","key":"26_CR5","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.eswa.2007.09.034","volume":"36","author":"M.H. Fazel Zarandi","year":"2009","unstructured":"Fazel Zarandi, M.H., Rezaee, B., Turksen, I.B., Neshat, E.: A type-2 fuzzy rule-based expert system model for stock price analysis. Expert Syst. Appl.\u00a036(1), 139\u2013154 (2009)","journal-title":"Expert Syst. Appl."},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Ghandar, A., Michalewicz, Z., Schmidt, M., To, T.-D., Zurbruegg, R.: Computational intelligence for evolving trading rules. To appear in IEEE Transactions On Evolutionary Computation (2009)","DOI":"10.1109\/TEVC.2008.915992"},{"key":"26_CR7","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1109\/4235.771166","volume":"3","author":"A.E.E.R. Hinterding","year":"1999","unstructured":"Hinterding, A.E.E.R., Michalewicz, Z.: Parameter control in evolutionary algorithms. IEEE Transactions on Evolutionary Computation\u00a03, 124\u2013141 (1999)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"5","key":"26_CR8","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1109\/3477.790443","volume":"29","author":"H. Ishibuchi","year":"1999","unstructured":"Ishibuchi, H., Nakashima, T., Murata, T.: Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics\u00a029(5), 601\u2013618 (1999)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics"},{"issue":"6","key":"26_CR9","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1142\/S0218488598000434","volume":"6","author":"R. John","year":"1998","unstructured":"John, R.: Type 2 fuzzy sets: an appraisal of theory and applications. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems\u00a06(6), 563\u2013576 (1998)","journal-title":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"},{"key":"26_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1051","DOI":"10.1007\/978-3-540-87700-4_104","volume-title":"Parallel Problem Solving from Nature \u2013 PPSN X","author":"J. Kroeske","year":"2008","unstructured":"Kroeske, J., Ghandar, A., Michalewicz, Z., Neumann, F.: Learning fuzzy rules with evolutionary algorithms \u2013 an analytic approach. In: Rudolph, G., Jansen, T., Lucas, S., Poloni, C., Beume, N. (eds.) PPSN 2008. LNCS, vol.\u00a05199, pp. 1051\u20131060. Springer, Heidelberg (2008)"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Nomura, H., Hayashi, I., Wakami, N.: A learning method of fuzzy inference rules by descent method, pp. 203\u2013210 (March 1992)","DOI":"10.1007\/978-94-011-2014-2_43"},{"issue":"3","key":"26_CR12","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/0165-0114(95)00413-0","volume":"86","author":"K. Nozaki","year":"1997","unstructured":"Nozaki, K., Ishibuchi, H., Tanaka, H.: A simple but powerful heuristic method for generating fuzzy rules from numerical data. Fuzzy Sets Syst.\u00a086(3), 251\u2013270 (1997)","journal-title":"Fuzzy Sets Syst."},{"issue":"1","key":"26_CR13","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"15","author":"T. Takagi","year":"1985","unstructured":"Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modelling and control. IEEE Transactions on Systems, Man and Cybernetics\u00a015(1), 116\u2013132 (1985)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"}],"container-title":["Lecture Notes in Computer Science","Simulated Evolution and Learning"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17298-4_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,6]],"date-time":"2019-06-06T13:00:05Z","timestamp":1559826005000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17298-4_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642172977","9783642172984"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17298-4_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}