A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster-Shafer theory of evidence: An application in medical diagnosis.

Journal: Artificial intelligence in medicine
Published Date: Apr 27, 2016

Abstract

OBJECTIVE: Recently, fuzzy soft sets-based decision making has attracted more and more interest. Although plenty of works have been done, they cannot provide the uncertainty or certainty of their results. To manage uncertainty is one of the most important and toughest tasks of decision making especially in medicine. In this study, we improve the performance of reducing uncertainty and raising the choice decision level in fuzzy soft set-based decision making.

Authors

  • Jianwei Wang
    School of Computer and Information Science, Southwest University, Chongqing 400715, China; School of HanHong, Southwest University, Chongqing 400715, China.
  • Yong Hu
    Big Data Decision Institute, Jinan University, Guangzhou, China.
  • Fuyuan Xiao
    School of Computer and Information Science, Southwest University, Chongqing 400715, China.
  • Xinyang Deng
    School of Computer and Information Science, Southwest University, Chongqing 400715, China; Center for Quantitative Sciences, Vanderbilt University School of Medicine, Vanderbilt University, Nashville, TN 37235, USA.
  • Yong Deng
    School of Computer and Information Science, Southwest University, Chongqing 400715, China; Big Data Decision Institute, Jinan University, Tianhe, Guangzhou 510632, China; Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xian, Shaanxi 710049, China. Electronic address: prof.deng@hotmail.com.

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