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

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 proces...

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Veröffentlicht in:	Artificial intelligence in medicine 2016-05, Vol.69, p.1-11
Hauptverfasser:	Wang, Jianwei, Hu, Yong, Xiao, Fuyuan, Deng, Xinyang, Deng, Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Ambiguity Ambiguity measure Belief function Decision Making Decision Support Techniques Dempster–Shafer evidence theory Diagnosis Fuzzy Fuzzy Logic Fuzzy soft set Humans Impact tests Information fusion Internal Medicine Mathematical models Medical Medical diagnosis Other Probability Target recognition Uncertainty
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container_title	Artificial intelligence in medicine
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creator	Wang, Jianwei Hu, Yong Xiao, Fuyuan Deng, Xinyang Deng, Yong
description	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.
doi_str_mv	10.1016/j.artmed.2016.04.004
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subjects	Ambiguity Ambiguity measure Belief function Decision Making Decision Support Techniques Dempster–Shafer evidence theory Diagnosis Fuzzy Fuzzy Logic Fuzzy soft set Humans Impact tests Information fusion Internal Medicine Mathematical models Medical Medical diagnosis Other Probability Target recognition Uncertainty
title	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
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