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    <title>accuracy</title>
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      <title>Systemic Approach to Distribution Law Analysing in Problems of Metrological Accuracy Assurance</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=1957</link>
      <description>This article contains an original approach to the maintenance of objects metrological quality on an example of the measurements accuracy maintenance and assurance. The approach throws down a challenge to the usual practice of &quot;classical&quot; distribution laws application, using of which results in a methodical error, that frequently prevents to provide the metrological characteristics required. It is based on the probabilistic estimation of the parameters of random variables measurements with discrete and continuous &quot;nature&quot; providing information on the object under research. Proposed GANCO law generalizes some well-known laws of random variables distribution and uses analytical open models and simulation models which allow an adaptation to various objects with the purpose of the given metrological accuracy maintenance. </description>
      <pubDate>Wed, 17 Jul 2024 15:41:55 +0200</pubDate>
      <lastBuildDate>Wed, 17 Jul 2024 15:42:02 +0200</lastBuildDate>
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      <title>An Approach to Evaluation on the Accuracy of the Knowledge Bases Applied to Diagnosis Systems</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=1841</link>
      <description>The main contributions of this paper consist in stating a proposal for the evaluation and the improvement of the knowledge bases in order to assure their quality. This paper addresses the issue of analysing selected qualitative properties of the diagnosis systems in a systematic way and designing the set of rules in an appropriate manner. We investigate a common model for the representation of a base knowledge called Object Attribute Table. The evaluation of a given knowledge base, is measured using the following steps : first we obtain its complete extensional representation, next we deduce the characteristics that an optimal rule base should exhibit. We consider criteria that measure the accuracy of different knowledge bases describing the concepts. </description>
      <pubDate>Wed, 17 Jul 2024 11:23:15 +0200</pubDate>
      <lastBuildDate>Wed, 17 Jul 2024 11:23:23 +0200</lastBuildDate>
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