Theoretical framework of Fuzzy-AI model in quantitative project management

Article type: Research Article

Authors: Xu, Feng^* | Lin, Shao-Pei

Affiliations: School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China

Correspondence: [*] Corresponding author. Feng Xu, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China. Tel.: +86 21 62933091; Fax: +86 21 62933163; E-mail: F.Xu@sjtu.edu.cn.

Abstract: Management issue incorporates a huge amount of fuzzy information processing, that is exactly representing the essentials of human intelligence in reasoning for managing problems. This paper distinguishes the qualitative (empirical) management versus the quantitative (digital) management and focuses the studies of the latter one and verifies the possibility and necessity of adopting quantitative project management in many real world problems. The theoretical arguments of “Fuzzy-AI model” are presented for dealing with the quantization of uncertain management events, which simulates the intelligence of human being by AI (Artificial Intelligence) technology and quantizes the management solution by fuzzy approach. Several practical examples are presented in this paper as the evidence of the applicability of this model in the project management issues, which provides digital support to decision maker in the management. Finally, the theoretical framework of applying this model in different stages of project management is presented for the purpose of calibrating its application scope.

Keywords: Fuzzy-AI Model, quantitative management, project management, theoretical framework, performance matrix

DOI: 10.3233/IFS-151776

Journal: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 509-521, 2016