17 results for “Rules of Inference”

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Research ArticleOpen accessIn the abstractIncreasing the Reliability of Fuzzy Inference System-Based Skin DetectorAlaa Y. Taqa, Hamid A. JalabProblem statement: Skin detection is a common primitive for many human-related image processing applications, such as video surveillance, naked image filters and face detection. Skin color is considered as a useful and discriminating spatial feature for many applications, but it is not robust enough to deal with complex image environments. Skin tones range from dark (some Africans) to light white … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,138 accessesView PDF Cite

Research ArticleOpen accessIn the abstractTakagi-Sugeno Fuzzy Gains Scheduled PI Controller for Enhancement of Power System StabilityLokman H. Hassan, M. Moghavvemi, Haider A.F. MohamedProblem statement: Power system oscillations affect system stability and may lead to failure if not properly controlled. Approach: A Takagi-Sugeno Fuzzy Gains Scheduled Proportional and Integral (FGPI) controller was proposed for a Thyristor Controlled Series Capacitor (TCSC)-based stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters on-line in different … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPowerful Features of the Modern Syllogistic Method of Propositional LogicAli Muhammad Rushdi, Omar Mohammed Ba-RukabIn traditional propositional logic, many replacement and inference rules were involved to ascertain if the truth of several antecedents implied the truth of a particular consequent. This research described a powerful technique called the Modern Syllogistic Method (MSM), which ferreted out from a set of premises all that can be concluded from it and casted the resulting conclusions in the … …Journal of Mathematics and Statistics, Vol. 4, Issue 3 · 30 Sep 2008 · 7,108 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Method of Deductive Logical Inference ProofsMaher A. Nabulsi, Ayman M. AbdallaA method of proof is presented and used in proving theorems in logic and set theory. Many commonly used methods of proof are rigid and not easy to apply in proving different theorems. This study deductively draws conclusions from rules of logical inference and then, it generalizes the deduction methods to be applied to logic and set theory. Then, it … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 7,475 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStructure and Performance of the Meta Inference EngineJean-Marc NIGRO, Yann BARLOYThis study presents the structure and the performance of a new inference engine: the MIE (Meta Inference Engine). It is able to manipulate not only the rules but also the metarules. The article first describes the architecture of the MIE and gives an example to illustrate its use. A comparison of performance between an RETE network and the MIE is … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,891 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCustomized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association RulesJ. Indumathi, G.V. UmaThe explosions of new data mining techniques has augmented privacy risks because now it is probable to powerfully coalesce and cross-examine massive data stores, accessible on the web, in the rummage around of earlier unidentified hidden patterns. Consecutively to make a overtly accessible system safe and sound, we must guarantee not only that private sensitive data have been trimmed out, … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,117 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordPerformance Analysis for the Ontology based Intelligent Information Retrieval using Non Monotonic Inference Logic using SPARQLDr. Rajni Jindal, Alka SinghalThe paper proposes a model for the information retrieval system (E-library) for the learner, based on his current requirements and scenario. It follows a brokerage model using non monotonic logic utilizing semantics and ontology for object description. Ontology captures the learning object properties which can help in eliminating and evaluating the usefulness of the object for a given learner. Non … …Journal of Computer Science, Vol. 13, Issue 12 · 2 Nov 2017 · 6,615 accessesView PDF Cite