Selecting Visualization Alternative Based on Uncertain Theory

MATEC Web of Conferences

Lv Zhiying¹  Zheng Liwei²  Huang Ping³ 

[1] ;College of Applied Mathematics, Chengdu University of Information Technology;College of Management, Chengdu University of Information Technology;

关键词: MADM;    score function;    reference uncertain linguistic variable;    tourism big data visualization;   

DOI  :  10.1051/matecconf/201710002023

来源: DOAJ

【 摘 要 】

Multiple attribute decision making (MADM) is an efficient way to solve complex systems, and has wide application. This research develops MCDM model based on uncertain theory, used for selecting a suitable visualization alternative for tourism. First, in order to achieve desirable decision making, a new concept is proposed, which is called the best and the worst reference uncertain linguistic variable as a datum uncertain linguistic variable. At the same time, a new method for ranking uncertain linguistic variable is also presented. Second, based on the preference order relation of attributes given by the experts, a new score function is introduced to get the weight vector of attributes. Finally, the evaluation system of tourism big data visualization alternatives is constructed and the order of those alternatives is acquired by the decision method.

【 授权许可】

Unknown