The Extraction of Influencing Indicators for Scoring of Insurance Companies Branches Based on GMDH Neural Network
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 96
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شناسه ملی سند علمی:
JR_IER-22-2_008
تاریخ نمایه سازی: 21 مهر 1402
چکیده مقاله:
One of the key topics and the most important tools to determine the strengths, weaknesses, opportunities and threats of each organization and company is the evaluation the performance of organizational activities that rating and ranking follows the internal and external goals. In this regard insurance companies similarly are looking for evaluation of their branches through scoring, ranking and identifying the top branches. Using scoring and then ranking branches based on performance evaluation, not only helps to identify internal and external situation and provides the possibility of planning, implementation, monitoring, control, and to improve performance, but also it will be impossible comparison of branches .Since now scoring of insurance companies branches in Iran were done under a traditional framework, that apply an on-theoretical approach and based on experimental expertise ,in this study by using GMDH neural network, f furthermore, in the process of change from a traditional framework to the systematic mechanism, we extract indicators of evaluation of the performance of the Dana Insurance company and also objective function and effective variables were determined. Moreover, results show that GMDH neural network is an appropriate alternative for traditional framework and based on this new approach, we found the ability of forecasting budget and profit.
کلیدواژه ها:
Keywords: Scoring ، rating ، Branches Evaluation ، Insurance Companies ، GMDH Neural Networks. JEL Classification: C۴۵ ، D۰۴ ، G۲۲ ، G۲۴
نویسندگان
Hamid Reza Mohammadi Ojan
Department of Insurance Management Electronic-Branch, Islamic Azad University, Tehran, Iran
Mohammad Karimi
Department of Management Electronic-Branch, Islamic Azad University, Tehran, Iran
Ebrahim Kardgar
Department of Management Electronic-Branch, Islamic Azad University, Tehran, Iran
Mehdi Ahrari
Department of Economics, Allameh Tabataba&#۰۳۹;i University, Tehran, Iran
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