Abstrato

Model for evaluating the medical information resources on internet with linguistic information

Beibei Dong, Jingjing Yang, Shangfu Hao, Xiao Zhang

In this paper, we investigate the multiple attribute group decision making problems for evaluating the medical information resources on internet with linguistic information. We utilize the linguistic weighted averaging (LWA) operator and linguistic hybrid aggregation (LHA) operator to aggregate the linguistic information corresponding to each alternative and get the overall value with linguistic information, then rank the alternatives and select the most desirable one(s) by using the overall value with linguistic information. Finally, an illustrative example for evaluating the medical information resources on internet with linguistic information is given to verify the developed approach and to demonstrate its practicality and effectiveness.