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Similarity mass and approximate reasoning

Author

Listed:
  • Ya-lin Zheng

    (Dongguan University of Science and Technology)

  • Bing-yuan Cao

    (Guangzhou University, Guangzhou Higher Education Mega Center)

  • Guang Yang

    (Dongguan University of Science and Technology)

  • Yong-cheng Bai

    (Shanxi University of Science and Technology)

Abstract

It can reflect the nature of approximate reasoning and meet more application expectations to design the approximate reasoning matching schemes and the corresponding algorithms with similarity relation Q instead of equivalence relation R. In this paper, based on similarity relation Q, we introduce type V matching scheme and corresponding approximate reasoning type V Q-algorithm with the given input A* and knowledge A → B. Besides, we present completeness of type V and its perfection on knowledge base K in Q-logic ℂ Q in this paper.

Suggested Citation

  • Ya-lin Zheng & Bing-yuan Cao & Guang Yang & Yong-cheng Bai, 2009. "Similarity mass and approximate reasoning," Fuzzy Information and Engineering, Springer, vol. 1(1), pages 91-101, March.
    • Handle: RePEc:spr:fuzinf:v:1:y:2009:i:1:d:10.1007_s12543-009-0007-z
    DOI: 10.1007/s12543-009-0007-z
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