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What is Fuzzy-AI Model for Quantitative Project Management about?

This chapter distinguishes the natures of so-called qualitative (empirical) versus quantitative (digital) management and presents the possibility and necessity of adopting quantitative project management in many real-world problems. The Fuzzy-AI model [1,2] is introduced for dealing with the quantization of uncertain management events. Since management incorporates a huge amount of fuzzy information processing that is exactly the essence of human intelligence, the latter one can be represented by AI simulation for problem-solving. Therefore, the Fuzzy-AI Model enables us to solve a broad area of project management problems by using computers; the theoretical framework of this model is presented hereby for the purpose of calibrating the application scope in the region of project management by means of its modeling techniques. The fundamental element of management is decision-making, moreover, the management process can be represented as a series of decision-making under uncertainties, which is a highly intelligent activity conducted by human beings. However, can IT (Information Technology) help? How can IT through AI (Artificial Intelligence) engage the simulation of human intellige

Author

Shaopei Lin

Publisher

Springer Berlin Shanghai Jiao Tong University Press Springer

Published

2022

Language

EN

ISBN

9783662563397

Subjects

Engineering, Stem