Email this article Approximation of Series of Expert Preferences by Dynamical Fuzzy Numbers
- Authors: Koroteev M.V.1, Terelyanskii P.V.1, Ivanyuk V.A.2
-
Affiliations:
- Volgograd State Technical University
- Financial University under the Government of the Russian Federation
- Issue: Vol 216, No 5 (2016)
- Pages: 692-695
- Section: Article
- URL: https://ogarev-online.ru/1072-3374/article/view/237894
- DOI: https://doi.org/10.1007/s10958-016-2930-y
- ID: 237894
Cite item
Open Access
Access granted
Subscription Access
Abstract
In this paper, we consider a method of formalization of time series of arbitrary expert assessments under uncertainty conditions using both approximation and fuzzy arithmetic. We present basic definitions and a numerical example of calculation of fuzzy measures and propose comparative analysis of advantages and disadvantages of this method.
About the authors
M. V. Koroteev
Volgograd State Technical University
Email: ivaver6@gmail.com
Russian Federation, Volgograd
P. V. Terelyanskii
Volgograd State Technical University
Email: ivaver6@gmail.com
Russian Federation, Volgograd
V. A. Ivanyuk
Financial University under the Government of the Russian Federation
Author for correspondence.
Email: ivaver6@gmail.com
Russian Federation, Moscow
Supplementary files
