Title of article :
The Performance Analysis of Fuzzy Topsis and Fuzzy Dematel Methods Into Insurance Companies
Author/Authors :
ERTUĞRUL, İrfan Pamukkale University - Faculty of Economic and Administrative Sciences - Department of Business Administration, Turkey , ÖZÇİL, Abdullah Pamukkale University - Faculty of Economic and Administrative Sciences - Department of Business Administration, Turkey
Abstract :
Choices of businesses and humans during life may bring positive or negative results and people need to make decisions with optimal benefits. Decision-making is to choose an alternative with the maximum benefits among alternatives. So, using the most appropriate decision-making method is becoming an important issue in decision-making process. In this study, By using the financial charts of seven insurance companies, Trade on Turkey-Istanbul Stock Exchange and financial performance of companies are analyzed with two integrated Multi-Criteria Decision Making (MCDM) methods. In this study, firstly the weights of performance ratios are determined by Fuzzy Decision Making Trial and Evaluation Laboratory (Fuzzy DEMATEL) method. Secondly, while applying Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) together with Fuzzy DEMATEL, two different integrated methods are applied to MCDM process. Performance order scores from both methods are used for the rates of companies by 2008 - 2014 and for a comparison of two different methods. In conclusion, it was observed that the results obtained are consistent with Topsis and DEMATEL methods. For example preference ranking for 2014 with TOPSIS and DEMATEL methods has been found as AVIVA AKGRT ANHYT ANSGR YKSGR RAYSG GUSGR.
Keywords :
Fuzzy DEMATEL , TOPSIS , MCDM , Performance Analysis , Insurance Industry
Journal title :
Cankiri Karatekin University Journal of the Faculty of Economics and Administrative Sciences
Journal title :
Cankiri Karatekin University Journal of the Faculty of Economics and Administrative Sciences