Affiliations: [a] Beijing Zhongguancun Hospital, Department of Acupuncture and moxibustion, Beijing, China
| [b]
Beijing University of Chemical Technology, School of Information Science and Technology, Beijing, China
| [c]
Tianjin University of Traditional Chinese Medicine, Tianjin, China
Correspondence:
[*]
Corresponding author. Chong Su, Beijing University of Chemical Technology, School of Information Science and
Technology, Beijing 100029, China. Tel./Fax: +86 010 644 34931; E-mail: [email protected].
Abstract: At present, multi-attribute group decision making (MAGDM) researches are concerned with obtaining the alternatives’ ranking order based on the gathered group fuzzy preference matrix, as a result, it suffers from the group experts’ strong subjectivity fatigue without approaches to obtain and use the group intelligence. This paper proposes a new definition of group intelligence based on sub-attribute’s weight coefficients and expected intervals of the MAGDM. Group intelligence generating methods are provided as well. Additionally, a kind of group intelligence-based decision approach is introduced that can aid in reducing subjective fatigue in humans. In particular, a test function and a kind of medical MAGDM problem addressing Traditional Chinese medical (TCM) dysphagia rehabilitation treatment are employed to verify the correctness and feasibility of the proposed methods.
Keywords: Group intelligence, generating, multi-attribute group decision making (MAGDM), traditional Chinese medicine (TCM)
