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
作者：
Highlights：
• An improved fuzzy soft set-based decision making approach based on the ambiguity measure is proposed.
• Uncertain information in medical diagnosis can be modeled and fused by evidence theory.
• The reasonable ambiguity measure reduces the uncertainty degree in the decision making process.
• The effectiveness of the model is demonstrated in medical decision.
摘要
Highlights•An improved fuzzy soft set-based decision making approach based on the ambiguity measure is proposed.•Uncertain information in medical diagnosis can be modeled and fused by evidence theory.•The reasonable ambiguity measure reduces the uncertainty degree in the decision making process.•The effectiveness of the model is demonstrated in medical decision.
论文关键词：Decision making,Dempster–Shafer evidence theory,Belief function,Target recognition,Information fusion,Fuzzy soft set,Ambiguity measure,Medical diagnosis
论文评审过程：Received 6 December 2015, Revised 23 April 2016, Accepted 23 April 2016, Available online 27 April 2016, Version of Record 7 May 2016.
论文官网地址：https://doi.org/10.1016/j.artmed.2016.04.004
