{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:12:34Z","timestamp":1777637554059,"version":"3.51.4"},"reference-count":4,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[1998,12]]},"abstract":"<jats:p> In this paper, a fuzzy Petri nets for modeling fuzzy rule-based reasoning is proposed to bring together the possibilistic entailment and the fuzzy reasoning to handle uncertain and imprecise information. The three key components in our fuzzy rule-based reasoning: fuzzy propositions, truth-qualified fuzzy rules, and truth-qualified fuzzy facts, can be formulated as fuzzy places, uncertain transitions, and uncertain fuzzy tokens, respectively. Four types of uncertain transitions, inference, aggregation, duplication and aggregation-duplication transitions, are introduced to meet the mechanism of fuzzy rule-based reasoning. A reasoning algorithm based on fuzzy Petri nets is also presented to improve the efficiency of fuzzy rule-based reasoning. The reasoning algorithm is consistent with not only the rule-based reasoning but also the execution of Petri nets. <\/jats:p>","DOI":"10.1142\/s0218213098000226","type":"journal-article","created":{"date-parts":[[2003,5,9]],"date-time":"2003-05-09T11:55:54Z","timestamp":1052481354000},"page":"463-485","source":"Crossref","is-referenced-by-count":13,"title":["FUZZY PETRI NETS FOR MODELING RULE-BASED REASONING"],"prefix":"10.1142","volume":"07","author":[{"given":"JONATHAN","family":"LEE","sequence":"first","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Central University, Chungli, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KEVIN F. R.","family":"LIU","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, National Central University, Chungli, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"WEILING","family":"CHIANG","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, National Central University, Chungli, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(85)80001-8"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0255(85)90039-8"},{"key":"p_12","doi-asserted-by":"publisher","DOI":"10.1109\/21.87067"},{"key":"p_14","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(86)90031-7"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213098000226","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:15:24Z","timestamp":1565147724000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213098000226"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,12]]},"references-count":4,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1998,12]]}},"alternative-id":["10.1142\/S0218213098000226"],"URL":"https:\/\/doi.org\/10.1142\/s0218213098000226","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1998,12]]}}}