Ranking the factors affecting the care and provision of health services to patients in medical centers using the VIKOR dempster-shafer method: a brief report

Determining the rank of important parameters in ranking health care and providing health services to patients in medical centers.

The research method is descriptive-analytical and applied in terms of classification. The data is from the database of the Faculty of Health and Medicine of the University of Tehran, which was collected as an archive from April 1998 to May 1999. The statistical population were all experts, specialists and experts of the Faculty of Health 29 of whom completed the questionnaire. The weight of the criteria was evaluated using the AHP method and in the next stage, the medical centers were ranked using the DS-VIKOR method. The analysis method in this study consists of the following steps steps:• Implementing a simple VIKOR method.  Implementing the Dempster-Shafer and Vicker method.  Implementing the AHP

 Implementation of the Topsis method. Comparing the proposed methods to review and compare which ones work best.

The weight of medical centers was assessed by AHP method and then the combined centers were ranked by Dempster-Shafer and VIKOR combined methods  using the information of four medical centers, the DS-Vikor approach was implemented. The purpose of six criteria and three experts was used for evaluation. The results show that the effectiveness of care and treatment process is more important from the experts' point of view. Dempester-Schaefer and Vicor The medical centers in question are ranked. For validation, at the end, the medical centers were ranked by TOPSIS method.The integrated system includes various subsystems giving caring and providing health services to patients in medical centers that can be built and configured and are ranked.The model can investigate the effectiveness of giving caring and providing health services to patients in medical centers.

By combining the two methods of Dempster-Shafer and Vicker, the confidence in the whole uncertainty is improved and the results are more reliable. This approach can help reduce the uncertainty caused by people's cognition to increase the level of decision-making, allowing us to overcome the problem of choosing the right level of uncertainty and to deal with uncertainty in a practical and justified way.