Research on multi-criteria decision-making method based on heterogeneous online reviews
With the development of information technology,a large amount of valuable informa-tion has been accumulated in the Internet,which has become an important source of information in multi-criteria decision-making(MCDM).Due to the differences of personal knowledge back-ground,experience,expression habits,and different criteria characteristics,online reviews usually consists of many forms of information,such as crisp numbers,interval numbers,and text.This heterogeneity of information will bring new challenges to information processing,fusion and al-ternative selection in the decision process.In order to address these challenges,a MCDM method based on heterogeneous online reviews is proposed.First,heterogeneous online reviews related to decision-making problems are obtained through data acquisition and preprocessing methods.Then,a heterogeneous information processing method is proposed to uniformly process these dif-ferent forms of information into linguistic distribution information.Next,in order to cope with the ambiguity and uncertainty in online information,an interval weight determination model and an information fusion method based on evidence reasoning algorithm are proposed.Finally,the practicality and validity are verified by a case study regarding vehicle evaluation.