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Multi-criteria Attending Doctor Selection Using Fuzzy Preference Relations Based AHP and TOPSIS | IEEE Conference Publication | IEEE Xplore

Multi-criteria Attending Doctor Selection Using Fuzzy Preference Relations Based AHP and TOPSIS


Abstract:

Attending doctor selection has always been a complicated issue that single decision-maker is hard to make a relatively comprehensive assessment which may easily cause the...Show More

Abstract:

Attending doctor selection has always been a complicated issue that single decision-maker is hard to make a relatively comprehensive assessment which may easily cause the occurrence of medical disputes. Group decision-making method which considering patient preferences while arranging attending doctors is suitable to solve this problem. However, it is difficult for patients and their families to make crisp and overmuch judgements in most situations. Herein, a hybrid group decision-making methodology based on fuzzy technique for order performance by similarity to ideal solution (TOPSIS) which combined fuzzy analytical hierarchy process (AHP) and prospect theory is proposed to rank the alternative attending doctors. Fuzzy AHP is utilized for analyzing the problem and determining the weight of each evaluation criterion from only n – 1 pairwise comparisons. Considering the limited rationality and risk preference of decision makers (patients and their families), prospect theory and fuzzy TOPSIS are utilized for analyzing and ranking the attending doctors according to the preferences of patients and their families. To perform the validation of the proposed methodology, an illustrative case is selected in this paper. The application of this methodology could better prevent and reduce the occurrence of medical disputes and improve patients’ satisfaction.
Date of Conference: 09-11 October 2021
Date Added to IEEE Xplore: 30 November 2021
ISBN Information:
Conference Location: Shanghai, China

References

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