Action aggregation and defuzzification in Mamdani- type fuzzy systems

Duc Pham*, Marco Castellani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


This paper discusses the issues of action aggregation and defuzzification in Mamdani-type fuzzy systems. The paper highlights the shortcomings of defuzzification techniques associated with the customary interpretation of the sentence connective 'and' by means of the set union operation. These include loss of smoothness of the output characteristic and inaccurate mapping of the fuzzy response. The most appropriate procedure for aggregating the outputs of different fuzzy rules and converting them into crisp signals is then suggested. The advantages in terms of increased transparency and mapping accuracy of the fuzzy response are demonstrated.

Original languageEnglish
Pages (from-to)747-759
Number of pages13
JournalInstitution of Mechanical Engineers. Proceedings. Part C: Journal of Mechanical Engineering Science
Issue number7
Publication statusPublished - 2002


  • COG method
  • Defuzzification
  • Fuzzy logic
  • MOM method
  • Output aggregation
  • Weighted average

ASJC Scopus subject areas

  • Mechanical Engineering


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