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    <title>Auteurs : Israel Brunstein</title>
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    <description>Publications of Auteurs Israel Brunstein</description>
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      <title>An Extension of Fuzzy Set Theory Encompassing Inconsistency and Paracompleteness</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2890</link>
      <description>Fuzzy Set Theory and Paraconsistent Annotated Logics are subjects much researched nowadays, with an immense number of applications in a variety of themes. In this paper we discuss how to extend the Fuzzy set theory in order to deal with inconsistent and/or paracomplete data. For the task we use a special kind of paraconsistent annotated logic and the resulting theory, the paraconsistent annotated set theory. </description>
      <pubDate>Tue, 03 Sep 2024 15:43:47 +0200</pubDate>
      <lastBuildDate>Thu, 10 Oct 2024 09:54:53 +0200</lastBuildDate>
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      <title>Overall Model for an Economic Analysis for Companies with Intermittent Production</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2882</link>
      <description>Companies operating with intermittent production need an Economic Analysis to assist them in taking orders from clients with their own projects. In this article we offer an overall model of analysis of the economic aspects relating to the performance of a company with intermittent commissioned production due to the different utilization percentages of their facilities. The proposed model - from the utilization definitions of the company's production capacity, we may be able to analyze all production regions: idleness, saturation and relevant interval. Therefore, in analyzing the economic aspects of the commissioned job the company must take into consideration in which production capacity it will work before accepting a new order in order to obtain the best profit margin. </description>
      <pubDate>Tue, 03 Sep 2024 15:31:48 +0200</pubDate>
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      <title>Prevision of Medical Diagnosis Based on Paraconsistent Annotated Logic</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2337</link>
      <description>This paper shows a process of prevision of medical diapostic based on Paraconsistent Annotated Logic, PAL. Knowing the symptoms reported by the patient, applying the Para-Analyzer Algorithm (Abe &amp;amp; Da Silva Filho 2001), by the Baricenter Analysis Method (Carvalho 2002) we obtain the resultant certainty degree of each illness analyzed (Carvalho, Brunstein &amp;amp; Abe 2004). Looking for the highest value of these certainty degrees we find a sole result that allows to determine the illness with highest certainty degree. We can decide what is the illness with highest favorable evidence by means of the symptoms reported by the patient. This illness will be the prevision of medical diagnosis. It is observed that the method presented is destined to 'adequate' illness, i.e., simple but helpful in emergencies, for instance. </description>
      <pubDate>Thu, 01 Aug 2024 15:05:43 +0200</pubDate>
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