Approximation of series of expert preferences by dynamical fuzzy numbers
Contemporary Mathematics and Its Applications, Tome 95 (2015), pp. 90-93
Cet article a éte moissonné depuis la source Math-Net.Ru
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.
@article{CMA_2015_95_a9,
author = {M. V. Koroteev and P. V. Terelyanskii and V. A. Ivanyuk},
title = {Approximation of series of expert preferences by dynamical fuzzy numbers},
journal = {Contemporary Mathematics and Its Applications},
pages = {90--93},
year = {2015},
volume = {95},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/CMA_2015_95_a9/}
}
TY - JOUR AU - M. V. Koroteev AU - P. V. Terelyanskii AU - V. A. Ivanyuk TI - Approximation of series of expert preferences by dynamical fuzzy numbers JO - Contemporary Mathematics and Its Applications PY - 2015 SP - 90 EP - 93 VL - 95 UR - http://geodesic.mathdoc.fr/item/CMA_2015_95_a9/ LA - ru ID - CMA_2015_95_a9 ER -
M. V. Koroteev; P. V. Terelyanskii; V. A. Ivanyuk. Approximation of series of expert preferences by dynamical fuzzy numbers. Contemporary Mathematics and Its Applications, Tome 95 (2015), pp. 90-93. http://geodesic.mathdoc.fr/item/CMA_2015_95_a9/