A Measuring Method Based on Graph Structure for Decision-Making Complexity in Major Science and Technology Projects

Author:

Wu Zhifeng12,Liu Yisheng1

Affiliation:

1. School of Economics and Management, Beijing Jiaotong University, Beijing 100876, China

2. China Electronics Technology Development Planning Research Institute Co., Ltd., Beijing 100041, China

Abstract

Unlike general large-scale projects, major science and technology projects (MSTPs) are strategically positioned to meet national needs, reflecting the forward-looking direction of science and technology development. The correctness of decision making for MSTPs is crucial for the long-term development and strategic interests of the country. To measure decision complexity accurately, we propose a graph-based approach that utilizes information entropy theory. This approach provides decision makers with a theoretical foundation for effectively managing decision complexity.

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software

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