A quantitative and qualitative hybrid attributes based imbalanced group conflict analysis method and its application to evaluation of clinical therapeutic effect.

The clinical decision-making is a group decision-making process given by the imbalanced decision-making groups, which has hybrid quantitative and qualitative attributes. Data-driven decision-making paradigm is a novel idea for constructing a clinical quantitative decision-making model. The conflict analysis provides an effective method for managing the imbalanced group decision-making problems with hybrid attributes. In this paper, we consider a kind of imbalanced group confilct problems with hybrid quantitative and qualitative attributes information given by large and small groups and use three-way conflict analysis to solve these problems. First, a hybrid information system is repersented the qualitative and quantitative hybrid attribute information given by large and small groups. Further, the real-value information system consisting of hybrid quantitative and qualitative attributes information given by this imbalanced group is transformed into a 19-scale conflict information system. Then, the optimal alternatives are derived by measuring group conflict degree, conflict function, and group conflict measurement in a three-way conflict framework. Finally, the clinical decision-making problem of rheumatoid arthritis treated with integrated TCM and Western medicine clinic as the research object, the conflict analysis process and steps of the theoretical model constructed in this paper are validated and explicitly applied based on the actual clinical data of Guangdong Provincial Hospital of Chinese Medicine, furthermore the quantitative conflict analysis simulated by actual clinical data is given, which obtains application results that are almost consistent with real clinical scenarios. On the one hand, the paper's research extends a novel conflict analysis model and idea for the group conflict analysis with imbalanced, quantitative, and qualitative hybrid information attributes. On the other hand, it also provides a new attempt and exploration for applyling of three-way conflict analysis in clinical decisions. [ABSTRACT FROM AUTHOR]