Linear Regression Approach to Fuzzy Cognitive Maps with History Data
- DOI
- 10.2991/asum.k.210827.045How to use a DOI?
- Keywords
- Fuzzy cognitive maps, History data, Linear regression analysis, Quantitative human sciences
- Abstract
Methods of linear regression analysis are applied to fuzzy cognitive map construction according to history data from the standpoint of quantitative human sciences. When the linearized version of history data is also used, this construction may be reduced to ordinary linear regression analysis. This linearization applies the inverted transformation functions of the fuzzy cognitive maps. Our approach will avoid subjective reasoning and interpretation on these model outcomes by relying on the objective and well-justified statistical theories instead.
- 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 - Vesa A. Niskanen PY - 2021 DA - 2021/08/30 TI - Linear Regression Approach to Fuzzy Cognitive Maps with History Data 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 - 338 EP - 344 SN - 2589-6644 UR - https://doi.org/10.2991/asum.k.210827.045 DO - 10.2991/asum.k.210827.045 ID - Niskanen2021 ER -