MATEC Web Conf.
Volume 100, 201713th Global Congress on Manufacturing and Management (GCMM 2016)
|Number of page(s)||7|
|Section||Part 2: Internet +, Big data and Flexible manufacturing|
|Published online||08 March 2017|
Selecting Visualization Alternative Based on Uncertain Theory
1 College of Management, Chengdu University of Information Technology, Chengdu 610103, China
2 College of Mathematics, University of Electronic Science and Technology of China, Chengdu 610103, China
3 College of Applied Mathematics, Chengdu University of Information Technology, Chengdu 610103, China
* Corresponding Email: email@example.com
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.
Key words: MADM / score function / reference uncertain linguistic variable / tourism big data visualization
© The Authors, published by EDP Sciences, 2017
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