Title
Multi-granulation method for information fusion in multi-source decision information system.
Abstract
Most of the existing multi-source fusion methods are to choose the most reliable information from the multi-source information system to form a single-source information system. Obviously, this process is accompanied by information loss. In order to solve this problem, the multi-granulation method of information fusion in multi-source decision information system is studied in this paper. Firstly, decision support characteristic function and decision related characteristic function are constructed. Secondly, a pair of aggregation operators, including fixed aggregation operator and possible aggregation operator, is defined through two characteristic functions. Meanwhile, the two cases when thresholds α and β take special values are discussed. Finally, the relevant properties of aggregation operators in different situations are proposed and proved. What is more, two groups of comparative experiments are carried out to illustrate the effect of the aggregation operators. The experimental results show that the proposed multi-source fusion method can always find a set of thresholds (α,β), which makes the fusion effect better than the mean fusion.
Year
DOI
Venue
2020
10.1016/j.ijar.2020.04.003
International Journal of Approximate Reasoning
Keywords
DocType
Volume
Multi-source decision information system,Decision support characteristic function,Decision related characteristic function,Fixed aggregation operator,Possible aggregation operator
Journal
122
Issue
ISSN
Citations 
1
0888-613X
9
PageRank 
References 
Authors
0.42
0
4
Name
Order
Citations
PageRank
Lei Yang110511.42
Weihua Xu234823.88
Xiaoyan Zhang390.42
Binbin Sang4376.26