publication . Article . 2015

Towards New Probabilistic Assumptions in Business Intelligence

Andrew Schumann; Andrzej Szelc;
Open Access English
  • Published: 31 Jan 2015 Journal: Studia Humana (issn: 2299-0518, Copyright policy)
  • Publisher: Sciendo
Abstract
<jats:title>Abstract</jats:title> <jats:p>One of the main assumptions of mathematical tools in science is represented by the idea of measurability and additivity of reality. For discovering the physical universe additive measures such as mass, force, energy, temperature, etc. are used. Economics and conventional business intelligence try to continue this empiricist tradition and in statistical and econometric tools they appeal only to the measurable aspects of reality. However, a lot of important variables of economic systems cannot be observable and additive in principle. These variables can be called symbolic values or symbolic meanings and studied within symb...
Subjects
free text keywords: business intelligence, additivity, measurability, non-additive measures, symbolic interactionism, symbolic value, non-Archimedean probabilities, Philosophy (General), B1-5802, business.industry, business, Cognitive science, Sociology, Management science, Statistical model, Probabilistic logic
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