Abstract
Discretization based on rough sets is used to divide the space formed by continuous attribute values with as few breakpoint sets as possible, while maintaining the original indistinguishable relationship of the decision system, so as to accurately classify and identify related information. In this study, a discretization algorithm for incomplete economic information in rough set based on big data is proposed. First, the algorithm for filling-in incomplete economic information based on deep learning is used to supplement the incomplete economic information. Then, based on breakpoint discrimination, the algorithm for discretization in the rough set is used to implement the discretization based on rough set for supplementary economic information. The performance of this algorithm was tested using multiple sets of data and compared with other algorithms. Experimental results show that this algorithm is effective for discretization based on a rough set of incomplete economic information. When the number of incomplete economic information rough candidate breakpoints increases, it still has a higher computational efficiency and can effectively improve the integrity of incomplete economic information, and finally the application performance is superior.
Highlights
Incomplete economic information refers to people’s incomplete grasp of market information due to their limited cognitive ability
This study presents a rough set based on big-data discretization algorithm of incomplete economic information, novelty and innovation points of this method is that of incomplete economic information added in the first place, and on the basis of supplementary data using rough set in keeping the original decision system of indiscernibility relation at the same time, the less possible breakpoint set segmentation space, which is formed by the continuous attribute values and classification identification of the relevant information accurately improve the computational efficiency and incomplete economic information more complete
The discretization algorithm utilizes the concept of consistency level of decision system in rough set
Summary
Incomplete economic information refers to people’s incomplete grasp of market information due to their limited cognitive ability. The market cannot produce and allocate enough information effectively under the economic system. In real life—due to the cost of information collection and dissemination—rice information cannot be transmitted in a timely way to every market participant who needs information. Result is the restriction of information flow and application. The market price cannot reflect the supply and demand situation of the market sensitively, and the market supply and demand situation cannot change sensitively with the guidance of the price. The most serious one may cause the failure of the market mechanism, so improving the integrity of incomplete economic information has become an important research topic
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