Open AccessIntuitionistic fuzzy Logic System and its Application to Global Carbon Dioxide Emissions Prediction
Author(s) -
Imo Eyoh,
Ini Umoeka
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/361022021
Subject(s) - fuzzy logic , artificial intelligence , computer science , artificial neural network , descent (aeronautics) , gradient descent , machine learning , engineering , aerospace engineering
In this study, a Takagi-Sugeno-Kang based intuitionistic fuzzy logic system is proposed for the prediction of global carbon dioxide emission for the first time. The intuitionistic fuzzy logic system is an integration of artificial neural network learning and intuitionistic fuzzy logic reasoning. The gradient descent back propagation is applied in the optimization of the parameters of the proposed model. The model is evaluated based on some performance metrics. Results of evaluation revealed that the intuitionistic fuzzy logic system outperforms other existing models in the literature in terms of prediction accuracy