標題: A Fuzzy Collaborative Approach for Evaluating the Suitability of a Smart Health Practice
作者: Chen, Tin-Chih Toly
Wang, Yu-Cheng
Lin, Yu-Cheng
Wu, Hsin-Chieh
Lin, Hai-Fen
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: smart health;fuzzy collaborative intelligence;fuzzy analytic hierarchy process;suitability
公開日期: 1-十二月-2019
摘要: A fuzzy collaborative approach is proposed in this study to assess the suitability of a smart health practice, which is a challenging task, as the participating decision makers may not reach a consensus. In the fuzzy collaborative approach, each decision maker first applies the alpha-cut operations method to derive the fuzzy weights of the criteria. Then, fuzzy intersection is applied to aggregate the fuzzy weights derived by all decision makers to measure the prior consensus among them. The fuzzy intersection results are then presented to the decision makers so that they can subjectively modify the pairwise comparison results to bring them closer to the fuzzy intersection results. Thereafter, the consensus among decision makers is again measured. The collaboration process will stop when no more modifications are made by any decision maker. Finally, the fuzzy weighted mean-centroid defuzzification method is applied to assess the suitability of a smart health practice. The fuzzy collaborative approach and some existing methods have been applied to assess the suitabilities of eleven smart health practices for a comparison. Among the compared practices, only the fuzzy collaborative approach could guarantee the existence of a full consensus among decision makers after the collaboration process, i.e., that the assessment results were acceptable to all decision makers.
URI: http://dx.doi.org/10.3390/math7121180
http://hdl.handle.net/11536/153516
DOI: 10.3390/math7121180
期刊: MATHEMATICS
Volume: 7
Issue: 12
起始頁: 0
結束頁: 0
顯示於類別:期刊論文