Open AccessResearch on Financial Software Selection Decisions Based on a Fuzzy Evaluation Model
Author(s) -
Changyan Shao,
XinQing Sheng,
Xiaojia Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012054
Subject(s) - profitability index , computer science , fuzzy logic , software , selection (genetic algorithm) , grey relational analysis , financial analysis , enterprise software , finance , knowledge management , business , artificial intelligence , economics , mathematical economics , programming language
Appropriate financial software is the foundation of strengthening the enterprise information construction. For enterprises, choosing appropriate financial software is not only conducive to improving the efficiency and profitability of business processing, but also to ensuring the authenticity of financial information and the accuracy of decision-making. In this paper, we first established an evaluation index system of financial software evaluation, and then combined two-dimensional uncertain linguistic variables (2DULV) and grey relational analysis (GRA) to evaluate and select the financial software. Finally, the effectiveness of the proposed 2DULV-GRA model is verified by an example of an enterprise. The fuzzy evaluation model proposed in this paper allows decision-makers to express uncertainty, which provides a reference for the enterprise decision-making.