Compatibility Relations For Identity Analytics

Abstract

<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;">  </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;">  </span>The scope of group identity is much greater than digital security and affects other societal endeavors.<span style="mso-spacerun: yes;">  </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;">  </span>The methods are known as compatibility relations.<span style="mso-spacerun: yes;">  </span>The related paper is “Identity Analytics and Belief Structures,” published in an earlier issue of the Journal of Business & Economics Research. </span></span></p>