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Cloud probability: A new uncertain model with fuzziness and randomness properties

  • Hongli Wang*
  • , Liguo Fei
  • , Yuqiang Feng
  • *Corresponding author for this work
  • Fujian Jiangxia University
  • School of Management, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In order to overcome the weakness of subjectivity of variable and subjectivity of membership function in fuzzy probability the cloud probability model and its algorithm are proposed. Firstly, the representation model of cloud probability is given based on the fusion of cloud model and fuzzy probability. Then the cloud probability algorithm of continuous random variable based on slice method is proposed. Then the relationship between slice number and cloud probability is discussed. And the cloud probability algorithm of discrete random variable is given. Finally, through the application case of e-commerce intelligent decision-making based on cloud probability the effectiveness of the proposed cloud probability algorithm is verified. The research in this paper has good reference significance for dealing with the events represented by uncertain variables.

Original languageEnglish
Pages (from-to)6089-6102
Number of pages14
JournalJournal of Intelligent and Fuzzy Systems
Volume44
Issue number4
DOIs
StatePublished - 2023
Externally publishedYes

Keywords

  • Cloud probability
  • cloud model
  • double cloud model
  • fuzziness-randomness
  • fuzzy probability
  • slicing method

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