Modeling and optimization in estimating and budgeting projects using gath and geva fuzzy clustering approach
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CitationMohamed, B., Mouloud, B. ve Bouzid, B. (2009). Modeling and optimization in estimating and budgeting projects using gath and geva fuzzy clustering approach. Maltepe Üniversitesi. s. 124.
In this paper, a new modeling technique for estimating and budgeting project management is presented using a Gath and Geva fuzzy clustering approach. The Partition Coefficient (PC), the Dunn’s Index (DI) and the Alternative Dunn index (ADI) indices were used for validation of clusters number. The optimization of the number of clusters is significant for subsequent in modeling. However, cost estimates are to be used for bidding purposes; a poor estimation may have negative financial consequences. A cost over estimation bears the risk of making the firm uncompetitive and losing a customer, while underestimating the cost leads to winning a contract but incurring a financial loss. Furthermore, a precise knowledge of prospective resources utilization is critical for project management purposes when passing to the conceptual phase. The proposed model was tested on a set of twenty projects. Very accurate result was achieved, showing that, the clustering technique is more appropriate in modeling and financial budgeting of project management.
SourceInternational Conference of Mathematical Sciences
- Makale Koleksiyonu 
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