{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T03:13:41Z","timestamp":1764645221812},"reference-count":25,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2014,9]]},"abstract":"<jats:p> Fault tree analysis for nuclear power plant probabilistic safety assessment is an intricate process. Personal computer-based software systems have therefore been developed to conduct this analysis. However, all existing fault tree analysis software systems only accept quantitative data to characterized basic event reliabilities. In real-world applications, basic event reliabilities may not be represented by quantitative data but by qualitative justifications. The motivation of this work is to develop an intelligent system by fuzzy reliability algorithm in fault tree analysis, which can accept not only quantitative data but also qualitative information to characterized reliabilities of basic events. In this paper, a newly-developed system called InFaTAS-NuSA is presented and its main features and capabilities are discussed. To benchmark the applicability of the intelligent concept implemented in InFaTAS-NuSA, a case study is performed and the analysis results are compared to the results obtained from a well-known fault tree analysis software package. The results confirm that the intelligent concept implemented in InFaTAS-NuSA can be very useful to complement conventional fault tree analysis software systems. <\/jats:p>","DOI":"10.1142\/s1469026814500175","type":"journal-article","created":{"date-parts":[[2014,9,29]],"date-time":"2014-09-29T06:41:07Z","timestamp":1411972867000},"page":"1450017","source":"Crossref","is-referenced-by-count":6,"title":["AN INTELLIGENT SYSTEM BY FUZZY RELIABILITY ALGORITHM IN FAULT TREE ANALYSIS FOR NUCLEAR POWER PLANT PROBABILISTIC SAFETY ASSESSMENT"],"prefix":"10.1142","volume":"13","author":[{"given":"JULWAN HENDRY","family":"PURBA","sequence":"first","affiliation":[{"name":"Center for Nuclear Reactor Safety and Technology, National Nuclear Energy Agency of Indonesia (BATAN), Gd. 80 Kawasan Puspiptek Setu, Tangerang Selatan, Banten\u2013Indonesia 15310, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JIE","family":"LU","sequence":"additional","affiliation":[{"name":"Decision Systems and e-Service Intelligence Laboratory, Centre for Quantum Computation &amp; Intelligent Systems, School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney (UTS), P. 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