DocumentCode
3313204
Title
Information entropy method for project portfolio selection
Author
Zhaohong Wang ; Yue Yu
Author_Institution
Coll. of Phys. Educ. & Sports, Beijing Normal Univ., Beijing, China
Volume
4
fYear
2011
fDate
26-28 July 2011
Firstpage
2618
Lastpage
2622
Abstract
Project portfolio management is about making strategic choices, resource allocation. Project portfolio management has been considered as the bridge between enterprise strategic management and project management. It focuses on project selection and chooses the right projects from the many opportunities the enterprises face. There are relative popularity of various portfolio selection methods-from financial methods to strategic approaches, bubble diagrams and scoring approaches. Popular methods are investigated and compared in this research. Although conceptually appealing and perhaps the most rigorous mathematically based portfolio models see more visibility in text books and journal articles than in corporate offices. The authors provide an information entropy method for project portfolio selection. Besides combining several important methods and criteria, information entropy weights acted as weight coefficients for evaluating criteria in order to avoid uncertainty and randomicity of subjective judgments. The method proposed in this paper provides a quantificational evaluation method for enterprises to select project and project portfolio.
Keywords
entropy; project management; resource allocation; strategic planning; bubble diagrams; enterprise strategic management; financial method; information entropy method; project portfolio management; project portfolio selection; quantificational evaluation; randomicity; resource allocation; strategic choices; subjective judgment; weight coefficient; Educational institutions; Equations; Information entropy; Mathematical model; Portfolios; Project management; Uncertainty; Enterprise project management; Information entropy; Project portfolio management; Project portfolio selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6020005
Filename
6020005
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