title: A method for fuzzy soft sets in decision making based on grey relational analysis and d-s theory of evidence: application to medical diagnosis.
abstract: A method based on grey relational analysis and D-S theory of evidence is proposed for fuzzy soft sets in decision making. Firstly, grey relational analysis is used to calculate grey mean relational degrees and determine uncertain degrees of parameters. Then based on uncertain degrees, suitable mass functions of different independent alternatives with different parameters can be constructed. Next, D-S rule of evidence combination is applied to aggregate these alternatives into a collective alternative. Finally, these alternatives are ranked and the best alternative(s) are obtained. Moreover, the effectiveness and feasibility of this method are demonstrated by comparing with the mean potentiality approach and giving an application to medical diagnosis.
authors: College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, China.
authors: Ningxin
authors: N
authors: Xie
authors: College of Science, Guangxi University for Nationalities, Nanning, Guangxi 530006, China.
authors: Guoqiu
authors: G
authors: Wen
authors: College of Science, Guangxi University for Nationalities, Nanning, Guangxi 530006, China.
authors: Zhaowen
authors: Z
authors: Li
mesh_terms: D000465:Algorithms; D003657:Decision Making; D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted; D017143:Fuzzy Logic; D006801:Humans; D015233:Models, Statistical; D011336:Probability; D015203:Reproducibility of Results; D012984:Software