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A New Type of Compositive Information Entropy for IvIFS and Its Applications

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  • Junjun Mao
  • Yuan Zhao
  • Chuang Ma

Abstract

We first show the interval-valued intuitionistic fuzzy entropy which reflects intuitionism and fuzziness of interval-valued intuitionistic fuzzy set (IvIFS) based on interval-valued intuitionistic fuzzy cross-entropy. As for intuitionism and fuzziness of IvIFS, we propose interval-valued intuitionistic entropy and interval-valued fuzzy entropy, respectively. Furthermore, we establish the interval-valued span entropy describing the uncertainty of membership degree and nonmembership degree and show some concrete measure formulas. Combining intuitionistic factor, fuzzy factor, and span factor, we ultimately put forward the axiomatic definition of the compositive entropy and give a measure formula of compositive entropy. In addition, the effectiveness of the compositive entropy measure is illuminated by comparison with other entropy measures. Furthermore, the compositive entropy is applied to multiple attributes’ decision-making by using the weighted correlation coefficient between IvIFSs and pattern recognition by a similarity measure transformed from the compositive entropy.

Suggested Citation

  • Junjun Mao & Yuan Zhao & Chuang Ma, 2016. "A New Type of Compositive Information Entropy for IvIFS and Its Applications," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-13, January.
    • Handle: RePEc:hin:jnlmpe:7652540
    DOI: 10.1155/2016/7652540
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