Nowadays in the markets competitive atmosphere, the companies aren’t able to provide their needs. So they prefer to use supply chain. Selecting the suppliers is introduced as a multi attribute decision making (MADM) problem. The current paper tries to solve this problem More
Nowadays in the markets competitive atmosphere, the companies aren’t able to provide their needs. So they prefer to use supply chain. Selecting the suppliers is introduced as a multi attribute decision making (MADM) problem. The current paper tries to solve this problem based on three parameter interval grey numbers. So, within use of AHP-Bull’s eye integration weighting method, this paper wants to weigh attributes and ranks alternatives by PAF (Projection Attribute Function) method. at the end, in order to show the ability of this method, the robustness of this method is tested in front of SAW method (that is one of the celebrated method).
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Performance evaluation is a fundamental necessity in facing and coping with changes and continuous improvement activities. Insurance companies to determine your current position and survive and thrive in today's competitive world must continually methods and models to a More
Performance evaluation is a fundamental necessity in facing and coping with changes and continuous improvement activities. Insurance companies to determine your current position and survive and thrive in today's competitive world must continually methods and models to assess and improve their performance and activities of the organization are ongoing. The aim of this study is to evaluate the performance of insurance companies based on Shannon's weighting entropy and the ranking method is done according to grey VIKOR technique address. The performance evaluation is conducted based on the Balanced Score card method. Moreover, instead of using the linguistic variables and absolute numbers we will use grey numbers Tuesday parameterization. Grey VIKOR is a one of the most developed approaches of multi-criteria decision making under uncertainty conditions. Furthermore, the actual weights based on the concept of objective to regulate the mental weights of Shannon entropy can be used by the decision-makers. The current study has been worked on five insurance companies. According to the data gathered from the questioners the quantity value of the insurance companies has been calculated based on the final weights resulted from Shannon's weighting entropy and the grey VIKOR method. The results revealed that MELLAT insurance company obtained the highest value of (0.9334) and the lowest value (0) belongs to Dana insurance company. Accordingly, Dana Insurance is ranked in the first position, Iran Insurance the second, Alborz Insurance the third, Asia Insurance the fourth and MELLAT insurance the fifth.
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