Fuzzy inference systems-based approaches in geotechnical engineering- a review

Amoussou Coffi Adoko, Li Wu

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


In general, fuzzy set theory (FST) is used in geotechnical engineering to handle uncertain data and subjective information. The techniques employed can be classified into four categories: basic fuzzy inference (fuzzy set/logic); advanced fuzzy inference (combining other soft computing techniques), fuzzy probability theory and Klisiński fuzzy plasticity methods. The principal objective of the present paper is to review the applications based on fuzzy inference techniques as they represent the most used FST approaches recently. First, it identifies and describes the different ways of application within topics such as slope stability, rock engineering, foundation and tunneling. It is observed that the adaptive neuro-fuzzy inference system (ANFIS) has been in use over the past ten years, especially in rock engineering related topics. Finally it is suggested that further research need to be done in order to develop a rigorous methodology or criteria to identify the characteristics of the inference system (e.g. type of systems, defuzzification methods and assignment of membership functions to fuzzy variables) that solve best a given geotechnical problem. A proper use of FST as a research tool in geotechnical problems associated with uncertainties can help in improving the accuracy of the results.

Original languageEnglish
Pages (from-to)1543-1558
Number of pages16
JournalElectronic Journal of Geotechnical Engineering
Volume16 M
Publication statusPublished - Sept 5 2011

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology


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