Abstract
To solve the problem that available methods of order degree evaluation ignore the heterogeneous information interactions between subsystems, an improved method of order degree evaluation, based on structural entropy, is proposed from the perspective of heterogeneous interactions between subsystems. A case study is proposed to test our model, and order degree under the two scenarios is contrasted. Result shows that directed information flow increases timeliness of information and decreases accuracy of information, which is repeatedly verified in practice. The proposed model, which is more in line with the actual structure of information system, not only further improves order degree evaluation in theory, but also provides operational method to order degree evaluation in real-world information systems.
Highlights
Information systems, as heterogeneous complex systems, show differences in many aspects such as computer software, hardware and information resource management [1] [2]
1) From Table 1, we obtain that time effect order degree of information system increases under the directed information flow, which indicates the information system with definite direction of transferring information is more effectively to guarantee the timeliness of information
2) from Table 2, we find that directed information flow reduces quality order degree, which means the information system with definite direction of transferring information is less effectively to guarantee the accuracy of information
Summary
Information systems, as heterogeneous complex systems, show differences in many aspects such as computer software, hardware and information resource management [1] [2]. Interactions between subsystems are heterogeneous, which means that information flow in information system is directed. (2015) Order Degree Evaluation of Information System Based on Improved Structural Entropy. The paper studies how directed information flow between subsystems affects order degree of systems; entropy is applied to evaluate order degree of systems. Entropy has been widely used to evaluate order degree of various systems or organizational structures. Literature [6] [7] homogenizes information and resource flow and puts forward structural entropy to measure order degree of organizational structure. Structural entropy is used to evaluate order degree of cellular manufacturing systems and manufacturing resource organization modes [8] [9]. Our work builds on this literature and extends structural entropy to incorporate directed information flow required to evaluate order degree of information systems. A case study is given to test the method
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