On the problem of possibilistic-probabilistic optimization with constraints on possibility/probability in the case of the weakest t-norm

DOI

10.2991/eusflat-19.2019.69How to use a DOI?

Keywords

possibilistic-probabilistic optimization possibility/probability constraints the weakest t-norm stochastic quasigradient method

Abstract

In this paper we investigate the problem of possibilistic-probabilistic optimization with constraints on possiblity/probability. Fuzzy parameters of the problem are considered to be related by the weakest t-norm, random parameters are normally distributed. For solving the problem an equivalent stochastic problem is constructed.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yulia Egorova
AU  - Alexandr Yazenin
PY  - 2019/08
DA  - 2019/08
TI  - On the problem of possibilistic-probabilistic optimization with constraints on possibility/probability in the case of the weakest t-norm
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 498
EP  - 503
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.69
DO  - 10.2991/eusflat-19.2019.69
ID  - Egorova2019/08
ER  -