Abstract
The development of artificial intelligence technology makes the intelligent decision-making of enterprise finance possible. Combined with the traditional enterprise financial decision support system, this paper summarizes and introduces the structure and function of the enterprise Financial Decision Support System and its subsystems under the development of artificial intelligence in detail.
Highlights
Open AccessWith the development of society, the company runs in a rapidly changing and unstable economy, and the enterprise faces the difficult of recording large amounts of management and operation data
In order to meet the need of decision support and in-depth analysis, data should pass special processing and reorganize, after inspection, sorting, processing and reorganizing, the data will be loaded into one or more of the data warehouse database, all these works are made by data extraction and conversion tools
DSS systems do not know which models are used for which situations, these operations are typically assisted by knowledge system components and humans in intelligent financial DSS [20]
Summary
With the development of society, the company runs in a rapidly changing and unstable economy, and the enterprise faces the difficult of recording large amounts of management and operation data. The main difference between FDSS of artificial intelligence and the traditional FDSS structures is that the former joins knowledge-based systems and other business intelligence technologies to simulate human's peculiar thinking ability It can solve the problem of conventional quantitative nature, and can help decision-makers to recognize the decision environment, clear targets and solve the semi-structured or unstructured problems by providing background materials, helping clear the problem, modifying and perfecting the model, enumerating the possible schemes and analyzing and comparing [4]. Its features are as follows: 1) it has inference structure and can simulate the thinking process of decision makers; 2) it has learning function and increases the knowledge automatically It can be improved slowly with little or without intermediate maintenance; 3) solve semi-structured unstructured problems of financial decision-making more effectively; 4) it can track the solution process of the problem, prove the correctness of the financial model scheme, and enhance the credibility of the financial decision-making model scheme [5]. Each component will be discussed in detail
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