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Medientyp:
E-Artikel
Titel:
Compatibility Relations For Identity Analytics
Beteiligte:
Katzan, Jr., Harry
Erschienen:
Clute Institute, 2011
Erschienen in:
Journal of Business & Economics Research (JBER), 9 (2011) 1
Sprache:
Nicht zu entscheiden
DOI:
10.19030/jber.v9i1.937
ISSN:
1542-4448;
2157-8893
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p><p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="color: #0d0d0d; font-size: 10pt; mso-themecolor: text1; mso-themetint: 242;"><span style="font-family: Times New Roman;">Methods for categorizing certain subjects, based on belief structures, are an important aspect of modern society.<span style="mso-spacerun: yes;">&nbsp; </span>In a related paper, we present a method for combining belief, attributable to diverse knowledge sources, in order to obtain a measure of group membership.<span style="mso-spacerun: yes;">&nbsp; </span>The scope of group identity is much greater than digital security and affects other societal endeavors.<span style="mso-spacerun: yes;">&nbsp; </span>In this paper, we are going to propose methods for propagating belief through a complex network of belief assessments.<span style="mso-spacerun: yes;">&nbsp; </span>The methods are known as compatibility relations.<span style="mso-spacerun: yes;">&nbsp; </span>The related paper is &ldquo;Identity Analytics and Belief Structures,&rdquo; published in an earlier issue of the Journal of Business &amp; Economics Research. </span></span></p></jats:p>