On Aggregation Operators for Fuzzy Information Sources

  • Ai-Ping Li
  • Quan-Yuan Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3289)


During the development of fuzzy information systems, the aggregation fuzzy information sources should be considered. Aggregation operators are the key technique that solve this problem. By assign 0.5 to the generalized triangular norm identy, the harmonic triangular norm operators and strict harmonic triangular norm operators is defined. The properties of the aggregation operators is discussed. We prove the continuous harmonic triangular norm operator does not exist. The operators when the information sources have weights are also given. Four type detail (strict) harmonic triangular norm operators are given. Finally, two measures associated with the operators are defined, one is marginal measure and the other is sensitive measure. Based on the measure, the relationships of those operators and classical operators are evaluated and compared. The result shows that the operators offer a new method to aggregation of fuzzy information sources in fuzzy environments.


Global Information Aggregation Operator Multicriteria Decision Fuzzy Information Order Weight Average 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Ai-Ping Li
    • 1
  • Quan-Yuan Wu
    • 1
  1. 1.613#, School of ComputerNational University of Defense TechnologyChangshaP.R. China

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