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Issue title: Computational intelligence models for image processing and information reasoning
Article type: Research Article
Authors: Mortaji, Seyed Taha Hossein | Bagherpour, Morteza | Noori, Siamak
Affiliations: Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Note: [] Corresponding author. Seyed Taha Hossein Mortaji, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran. Tel.: +98 912 6279952. E-mail: [email protected]
Abstract: Earned Value Management (EVM) is a well-known project management technique to measure project performance and progress in a significant manner. The EVM has an ability to simultaneously and actively monitor and manage scope, schedule, and cost status via an integrated system. In this paper, firstly, we have formulated EVM in vagueness environment using L-R fuzzy numbers. It improves applicability of the EVM under real-life and uncertain conditions and leads to better planning and taking more appropriate managerial decisions. Also, it overcomes the typical fuzzy numbers' drawbacks. Besides, an efficient approach to calculate estimate at completion (EAC) has been developed. Finally, an illustrative case proves successful implementation of the proposed method in reality.
Keywords: Fuzzy earned value, uncertainty, L-R fuzzy number, fuzzy progress, estimate at completion
DOI: 10.3233/IFS-2012-0556
Journal: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 2, pp. 323-332, 2013
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