Journal of Applied Sciences ›› 2002, Vol. 20 ›› Issue (2): 178-182.

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Fuzzy Reasoning Based on Similarity Measure Between the Elements of Vague Sets

LI Fan1, XU Zhang-yan2, CAI Li-jing1   

  1. 1. College of Computer, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. Department of Mathematics and Computer, Guangxi Normal University, Guilin 541004, China
  • Received:2001-02-15 Online:2002-06-30 Published:2002-06-30

Abstract: In this paper, we give a method of similarity measure between the elements of vague sets. When the membership functions (represented by vague sets) of fuzzy terms are continuous functions, we give a one-to-one mapping between the universe of discourse of fuzzy terms in the antecedent of rule and that in the consequent of rule. We also give a method of approximate reasoning based on similarity measure between the elements of vague sets. When the membership functions of vague set are discrete functions, after giving one-to-one mapping between the universe of discourse of fuzzy terms in the antecedent of rule and that in the consequent of rule, we present a method of linear interpolation into the true/false membership functions of the vague sets for the antecedent of rule and fact, converting them into continuous functions. Finally, we provide a method of approximate reasoning based on similarity measure between the elements of vague sets.

Key words: Vague set, true/false membership function, approximate reasoning, similarity measure between elements

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