The analysis of fuzzy inference system and fuzzy comprehensive evaluation and their application on storm surge disaster assessment

  • Authors:

  • Jianxin Zhang;Qihua Xiao;Dongmei Huang;Jianwei Zhang

  • Affiliations:

  • Information College, Institute of Digital Ocean, Shanghai Ocean University, Shanghai, P.R.C.;Information College, Institute of Digital Ocean, Shanghai Ocean University, Shanghai, P.R.C.;Information College, Institute of Digital Ocean, Shanghai Ocean University, Shanghai, P.R.C.;Electronics and Information Engineering College, Tongji University, Shanghai, Shanghai, P.R.C.

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
  • Year:
  • 2009

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Abstract

It is well known that fuzzy inference system and fuzzy comprehensive evaluation, as important member of computational intelligence, are consistent in the target layer. The paper analyzes the mapping relations of fuzzy comprehensive evaluation, and also proves that nonlinear approximation ability of fuzzy comprehensive evaluation is as good as fuzzy inference system's. In order to acquire better weight, The paper deduces to obtain least- squares weighting formula based on input-output data and recursive least-squares weighting formula. At last the paper study the application of FIS and FCE on storm surge disaster assessment, and give examples of two applications.