Applying Fuzzy Data Mining to Improve Project CostEstimation at Early Stage

• Main Authors: Yau-Sheng Jeng, 鄭堯升
• Other Authors: 張慶寶
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/66760792665073335281

碩士 === 崑山科技大學 === 數位生活科技研究所 === 100 === A procedure is Project cost estimate is an important project management activities, but for all software development an important issue facing the company, and accurate project cost estimates not only provide software development company to undertake the project reference, but also as a project risk assessment important basis, but now most of the project cost estimates are focused on project planning, the so manufacturers often overlooked in development before the project contract, the cost of the procedure for assessing the accuracy, of course, there are unknown variables and human factors , but also because of potential risks associated with these, unfinished projects and failed to develop a small number of manufacturers have not, so the decision to undertake the project before the project costs will need to assess whether or not to undertake the basis that, in this assessment before the project contract stage, the current domestic focus at this stage make less, but after the project plan for the spindle. Therefore, this study proposes a fuzzy data mining project cost estimates based on the use of ad hoc, limited pre-project to collect information to assess the project costs in order to undertake the project as a reference, this study collected project data to establish assessment models and evaluation of model validation, historical data pre-processing, data definition and data rules. Factors affecting the cost of software is not just the size and the complexity of demand, the degree of risk affected areas should be included in consideration of the correction factors for the key, the data collected historical project data more accurate cost estimates for is also higher, this study showed that the cost of the proposed project pre-assessment methods can be used to project the costs of assessment and was to a very good result.