Using an adaptive network‐based fuzzy inference system model to predict the loss ratio of petroleum insurance in Egypt

Author:

Khalil Ahmed A.12ORCID,Liu Zaiming1,Ali Attia A.2

Affiliation:

1. School of Mathematics and Statistics Central South University Changsha Hunan China

2. Faculty of Commerce Assiut University Assiut Egypt

Publisher

Wiley

Subject

Economics and Econometrics,Finance,Accounting

Reference26 articles.

1. A survey on the performance of fuzzy‐neural network at predicting the average monthly discharge of catchment basin areas having snow regimes;Abbasi D.;Journal of Civil Engineering and Urbanism,2014

2. Statistical model for predicting loss ratios in property insurance sector in Egyptian insurance market;Abd El‐Zahir A.;Journal of Contemporary Commercial Research, Faculty of Commerce, Sohag University,2015

3. An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data

4. Management parameters affecting wheat harvesting losses at the Rahad Agricultural Scheme, Sudan;Bakhit S. A.;University of Khartoum Journal of Agricultural Sciences (Sudan),2004

5. Determinants of insurance companies' profitability analysis of insurance sector in Ethiopia;Berhe T. A.;International Journal of Research in Finance and Marketing (IJRFM),2017

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