Decision analysis and methods
Seyede Narges Taati; Ayda Esmaili Dooki
Abstract
Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of ...
Read More
Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of Fuzzy Decision Making Trial and Evaluation (FDEMATEL), Fuzzy Hierarchy Process Analysis (FAHP), and Fuzzy VIKOR (FVIKOR) is proposed to select the best hospital nurses of a year regarding to some qualitative and quantitative criteria. Firstly, FDEMATEL method is used to identify the most important criteria of the problem and then FAHP approach is utilized to determine the weight importance of the criteria. Finally, prioritizing of the hospital nurses is done by FVIKOR method and the proposed method is implemented in a real-world case study of one of the most prominent hospitals in the north of Iran, for the first time. The results illustrate that the proposed method is very functional and effective in both selecting and ranking the hospital nurses process.
Decision analysis and methods
Ayda Esmaili Dooki; Parisa Bolhasani; Mohammad Fallah
Abstract
Nowadays selecting the best inspectors has triggered a substantially significant issue among today’s competitive environment, in particular some prominent banks. It’s because the efficient supervision of banking activities is necessary for both achieving a powerful economic environment and ...
Read More
Nowadays selecting the best inspectors has triggered a substantially significant issue among today’s competitive environment, in particular some prominent banks. It’s because the efficient supervision of banking activities is necessary for both achieving a powerful economic environment and financial stability of the country, Chief inspectors as highest position of the banks play an important role. Additionally, the bank inspectors are in charge of supervising bank activities to ensure that there is sufficient capital and reserves to deal with risks when they encounter to critical situations. On the other hand, although the banking supervision costs is really high, but the poor monitoring can bring about higher costs. So, this paper presents a hybrid method of fuzzy AHP and Fuzzy TOPSIS to select the best chief inspector of banks based on some various qualitative and quantitative criteria with different priorities. The Fuzzy AHP and TOPSIS methods are used to determine the weight importance of criteria and ranking the selected inspectors, respectively. The proposed method was applied to a real case study on one of the most prominent Banks of Iran country and the obtained results show that our proposed method is so practical to make the best decision of selecting the bank chief inspectors.