期刊
APPLIED SOFT COMPUTING
卷 63, 期 -, 页码 23-38出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2017.11.026
关键词
Big data; Granular information; Graphical information; Multiple criteria decision making; Fuzzy logic
Graphical information (visualized data, information, and knowledge generated from different investigations and experimentations) is a useful form of decision-relevant information in all fields of study. The usages of such information are expected to increase exponentially due to the advent of big data. Unfortunately, there are no formal methods available for directly computing the graphical information generated from big data while making a decision. This study fills this gap and presents a fuzzy logic based method, as well as a decision support tool, to perform multiple criteria decision making by directly computing the graphical information generated from big data. The effectiveness of the proposed method and tool is demonstrated by conducting a case study. Further study can be carried out to see the implication of this study in making formal decisions aided by the big data. (c) 2017 Elsevier B.V. All rights reserved.
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