Triple I algorithms based on Schweizer--Sklar operators in fuzzy reasoning

  • Authors:
  • Minxia Luo;Ning Yao

  • Affiliations:
  • Department of Mathematics, China Jiliang University, Hangzhou 310018, PR China;Department of Mathematics, China Jiliang University, Hangzhou 310018, PR China

  • Venue:
  • International Journal of Approximate Reasoning
  • Year:
  • 2013

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Abstract

In this paper, we focus on the flexible inference method with parameters, that is the parametric triple I method by the combination of Schweizer-Sklar operators and triple I principles for fuzzy reasoning. Because the Schweizer-Sklar parameter m reflects the interaction between propositions in reasoning processes, the new parameterized triple I algorithms are closer to human reasoning in daily life. Also some properties of the new algorithms such as the reductivity, continuity and approximation are discussed. It is shown that some existing results are special cases of the new algorithms given here and in view of the variability of the parameter m the new algorithms have excellent flexibility in reasoning processes.