Individual Scaling and Overall Evaluation of System Uncertainty

Evgeny Kuzmin

MPRA Paper from University Library of Munich, Germany

Abstract: Research in the uncertainty as a phenomenon of the business interaction produces extraordinary challenges in management theory and methodology. The scientific community has usually understood a substantive impact on the uncertainty as a potential opportunity to neutralize a measure of fundamental unpredictability. At the same time, sustainability in any development is a result of balancing between faces of the certainty and the uncertainty. Solving this question, we point out to a need in the selective control. With this end in view, the paper has provided rationalization for a scientific approach to scale (grade) values ?of the individual uncertainty that serves as a quality classification tool for alternatives that are a part of a single case (event) set. Besides, the paper has elaborated a method to evaluate the system uncertainty specifying the standard errors.

Keywords: information entropy; uncertainty scaling (grading); uncertainty standard errors; system uncertainty (search for similar items in EconPapers)
JEL-codes: D81 (search for similar items in EconPapers)
Date: 2014-12-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published in Modern Applied Science 3.9(2015): pp. 34-45

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/60509/1/MPRA_paper_60509.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:60509

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().