Constructing a Fuzzy Model to Predict Math Anxiety

DOI

10.2991/assehr.k.220129.005How to use a DOI?

Keywords

Anxiety; attitude to word math; fuzzy model; mathematics; self-efficacy

Abstract

This study aims to construct a fuzzy model for predicting math anxiety by using mathematics self-efficacy and positive attitude towards mathematics as input variables. The model focuses on using fuzzy rules developed by Wang, but is limited to the third step, because the variables are related to human psychology. The data used were taken from senior high schools in Pacitan, East Java. One thousand data were used to build fuzzy rules and 26 data for testing the model. There are three models formed, namely two fuzzy models and one regression model. Model 1 and Model 2 are fuzzy models built using Wang’s method until the third step and complete rules, respectively. The MAPE calculation shows that all of the models have good accuracy to predict math anxiety. The MSE shows that Model 1 is the best model among the three models. In addition, based on the standard deviation, Model 1 is the better at controlling uncertainty in the raw data than the regression model.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Hari Purnomo Susanto
AU  - Mega Isvandiana Purnamasari
PY  - 2022
DA  - 2022/01/31
TI  - Constructing a Fuzzy Model to Predict Math Anxiety
BT  - Proceedings of the 5th International Conference on Current Issues in Education (ICCIE 2021)
PB  - Atlantis Press
SP  - 25
EP  - 30
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220129.005
DO  - 10.2991/assehr.k.220129.005
ID  - Susanto2022
ER  -