A fuzzy rough copula bayesian network model for solving complex hospital service quality assessment

HIGHLIGHTS

  • who: He Li from the School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen, People`s Republic of China have published the research work: A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment, in the Journal: (JOURNAL)
  • what: In this paper a decision-making approach is developed for hospital service quality assessment using a Bayesian copula network based on a fuzzy rough set within neighborhood operators as a basis of that to deal with dynamic features as well as objective uncertainties. The study aims to design a structure to . . .

     

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