چکیده:
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, 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.
خلاصه ماشینی:
"527-556 The Extraction of Influencing Indicators for Scoring of Insurance Companies Branches Based on GMDH Neural Network1 Hamid Reza Mohammadi Ojan*2, Seyed Mohammad Karimi3 Ebrahim Kardgar4, Mehdi Ahrari5 Received: April 16, 2017 Accepted: October 14, 2017 Abstract ne 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.
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, 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.
(2015) Khadivar & Mohammadi (2015) Table 1: A Brief Review of Studies Row Title Authors Performance Evaluation of Representatives of 4 Insurance Companies in Iran Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) Explaining the Hybrid Credential Ranking Model 5 by Using the Genetic Algorithms and Fuzzy Expert Systems the Application of the DEA Method in the Evaluation of Relative Efficiency and Ranking the 6 Branches of Bank Refah in Lorerstan Province and Comparing the Results with the TOPSIS Technique Afsordeh & Moridipour (2014) TaghaviFard et al."