Analysis of the Relation Among Global Stocks Using Fuzzy/Linguistic IF-THEN Rules
- DOI
- 10.2991/asum.k.210827.012How to use a DOI?
- Keywords
- Stocks relation, fuzzy modeling, time series analysis
- Abstract
In this paper, using a fuzzy mathematical model, we analyze multiple stocks and produce a description for their interrelation. Our analysis is based on theories of F-transform and fuzzy natural logic. The suggested method consists of two main steps; first, we smooth out time series using F-transform. Afterward, we evaluate their similarities in different lags and provide a linguistic description of their interrelations. A python package is developed to automatize the suggested method fully. The method is tested on 26 global stocks from five different regions.
- Copyright
- © 2021, 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/).
Cite this article
TY - CONF AU - Sina Mirshahi AU - Soheyla Mirshahi AU - Vilém Novák PY - 2021 DA - 2021/08/30 TI - Analysis of the Relation Among Global Stocks Using Fuzzy/Linguistic IF-THEN Rules BT - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP) PB - Atlantis Press SP - 88 EP - 94 SN - 2589-6644 UR - https://doi.org/10.2991/asum.k.210827.012 DO - 10.2991/asum.k.210827.012 ID - Mirshahi2021 ER -