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IJMLC 2014 Vol.4(4): 389-393 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.442

Using FCM Based Hybrid Computational Approach for Diseases Diagnosis in Traditional Chinese Medicine

T.-C. Chen, P.-S. You, C.-H. Wu, and S.-L. Lin

Abstract—Fuzzy cognitive map (FCM) belongs to one of the soft computing technique for modeling complex systems, which utilize the advantages from the synergistic theories of neural networks and fuzzy logic. The development of FCM highly relies on the human expert experience and knowledge. So, without those from expert(s), the FCM is hard to be constructed successfully. In this study, a self-adaptive FCM without any involvement of experts by using hybrid evolutionary computation approach is proposed. It includes the genetic algorithm (GA) and particle swarm optimization (PSO). The purpose of GA is to decide the significant variables. Based on those variables selected by GA, the most appropriate cognitive map can be constructed by PSO, i.e., the relationship matrix for the set of variables. The purpose of the research is to find the minimum subset of cognitive variables and the corresponding correlation matrix from historical numerical dataset so as to construct the optimal FCM decision model. In this study, the diagnosis of traditional Chinese medicines has been investigated base on twelve-meridian data obtained by meridian energy analysis device. The computational results show that the proposed approach is able to provide higher classification accuracy than those of the approaches in literature or by using commercial software.

Index Terms—Fuzzy cognitive map, genetic algorithm, particle swarm optimization, traditional Chinese medicine, twelve-meridian.

T.-C. Chen, C.-H. Wu, and S.-L. Lin are with the Department of Information Management, National Formosa University, Yunlin, 63201, Taiwan (e-mail: tchen@ nfu.edu.tw, melody@ nfu.edu.tw, author@nrim.go.jp).
P.-S. You is now with the Graduate Institute of Marketing and Logistics Management, National Chiayi University, Chiayi, Taiwan (e-mail: psyuu@mail.ncyu.edu.tw).


Cite: T.-C. Chen, P.-S. You, C.-H. Wu, and S.-L. Lin, "Using FCM Based Hybrid Computational Approach for Diseases Diagnosis in Traditional Chinese Medicine," International Journal of Machine Learning and Computing vol.4, no. 4, pp. 389-393, 2014.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net

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