Mathematics has been used as a tool in logistical reasoning for
centuries. Examining how specific mathematic structures can aid in
data and knowledge management helps determine how to efficiently
and effectively process more information in these fields. N-ary
Relations for Logical Analysis of Data and Knowledge is a critical
scholarly reference source that provides a detailed study of the
mathematical techniques currently involved in the progression of
information technology fields. Featuring relevant topics that
include algebraic sets, deductive analysis, defeasible reasoning,
and probabilistic modeling, this publication is ideal for
academicians, students, and researchers who are interested in
staying apprised of the latest research in the information
technology field.
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