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1、河北工程大學(xué)碩士學(xué)位論文模糊網(wǎng)絡(luò)進(jìn)度計(jì)劃技術(shù)及風(fēng)險(xiǎn)研究姓名:陳慕杰申請學(xué)位級別:碩士專業(yè):管理科學(xué)與工程指導(dǎo)教師:李萬慶;;孟文清2011-04Abstract IIAbstract Network planning is an effective tool in project planning and schedule control for it can reflect the actual situation better, i

2、n which the fuzzy network scheduling techniques has an important guiding role to identify the improvement programs and the rational use of resources. Risk of progress study could clear the risk of schedule to achieve, an

3、d taken measures to ensure the successful completion of the project objectives on schedule. In this thesis, fuzzy theory is introduced to the network plan, and the progress of computing technology and its application in

4、project is mainly studied. Firstly, the time parameters of fuzzy network planning is calculated by application of the fuzzy mathematical theory, taking into account that the fuzzy number may be negative or fuzzy distribu

5、tion is no-convened and other non-frivolous issues are appeared if using the traditional Minkowski subtraction to calculate the time difference in fuzzy network planning, a new linear programming model is established so

6、as to ensure that the fuzzy time parameters are always positive and convex. Secondly,for the different lines in practical engineering applications, the critical path couldn’t be determined by the traditional method, esp

7、ecially it is very difficult to identify a line is the key route or not, in this thesis, an improved lattice nearness method is proposed so that a theoretical basis is provided for the determination of critical path in f

8、uzzy network planning. Thirdly, for the subjectivity problem of schedule risk in fuzzy network planning, the completed risk of each work is calculated by the information entropy theory, then, it should be focused on the

9、higher risk work. For the study of completion probability in the prescribed time, the influence of both the randomness and fuzziness to the total duration which in uncertainty are take into accounted generally, the fuzzy

10、 completion probability is calculated by the combining method of fuzzy probability theory and fuzzy entropy theory, from the calculation results, it can be concluded that the method introduced in this thesis is more in l

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