{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T13:43:11Z","timestamp":1648561391685},"reference-count":7,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2003,6]]},"abstract":"<jats:p> This paper deals with the multiple-rule problem which arises when several decision rules (of different classes) match (\"fire\" for) an input to-be-classified (unseen) object. The paper focuses on formal aspects and theoretical methodology for the above problem. <\/jats:p><jats:p> The general definitions of the notions of a Designer, Learner and Classifier are presented in a formal matter, including parameters that are usually attached to the above concepts such as rule consistency, completeness, quality, matching rate, etc. We thus provide the minimum-requirement definitions as necessary conditions for these concepts. Any designer (decision-system builder) of a new multiple-rule system may start with these minimum requirements. <\/jats:p><jats:p> We only expect that the Classifier makes its decisions according to its decision scheme induced as a knowledge base (theory, model, concept description). Also, two case studies are discussed. We conclude with a general flow chart for a decision-system builder. He\/she can just pursue it and select parameters of a Learner and Classifier, following the minimum requirements provided. <\/jats:p>","DOI":"10.1142\/s021800140300254x","type":"journal-article","created":{"date-parts":[[2003,6,18]],"date-time":"2003-06-18T11:52:56Z","timestamp":1055937176000},"page":"581-600","source":"Crossref","is-referenced-by-count":1,"title":["FORMAL ASPECTS OF A MULTIPLE-RULE CLASSIFIER"],"prefix":"10.1142","volume":"17","author":[{"given":"JOSEF","family":"TKADLEC","sequence":"first","affiliation":[{"name":"Department of Mathematics,  Faculty of Electrical Engineering, Czech Technical University,  166 27 Praha, Czech Republic"}]},{"given":"IVAN","family":"BRUHA","sequence":"additional","affiliation":[{"name":"McMaster University, Department of Computing  &amp; Software, Hamilton, Ontario, Canada L8S4L7, Canada"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","first-page":"5","volume":"8","author":"Bergadano F.","journal-title":"Mach. Learn. J."},{"key":"rf2","unstructured":"P. B.\u00a0Brazdil and L.\u00a0Torgo, Current Trends in Knowledge Acquisition (IOS Press, Amsterdam, 1990)\u00a0pp. 90\u2013104."},{"key":"rf3","unstructured":"I.\u00a0Bruha, Machine Learning and Statistics: The Interface, eds. G.\u00a0Nakhaeizadeh and C. C.\u00a0Taylor (John Wiley, NY, 1997)\u00a0pp. 107\u2013131."},{"key":"rf5","volume-title":"Building Expert Systems","author":"Hayes-Roth F.","year":"1983"},{"key":"rf7","doi-asserted-by":"crossref","unstructured":"I.\u00a0Kononenko, Artificial Intelligence V: Methodology, Systems, Applications (Elsevier Science Publishers, 1992)\u00a0pp. 87\u201396.","DOI":"10.1016\/B978-0-444-89752-7.50014-6"},{"key":"rf9","first-page":"965","volume":"15","author":"Pitt L.","journal-title":"J. Assoc. Comput. Mach."},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1145\/1968.1972"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021800140300254X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:21:08Z","timestamp":1565144468000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021800140300254X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,6]]},"references-count":7,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2003,6]]}},"alternative-id":["10.1142\/S021800140300254X"],"URL":"https:\/\/doi.org\/10.1142\/s021800140300254x","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,6]]}}}