Tutor: LiuZhiJie

School: Dalian University of Technology

Course: Project Management

Keywords: activity networks Activity times Fuzzy numbers Fuzzy Dominant Path Method Degree of criticality.

CLC: F224

Type: Master's thesis

Year: 2004

Downloads: 165

Quote: 8

Read: Download Dissertation

First an overview of some approaches to activity networks with ill-know durations is proposed. They all base on probability theory. However, the activity durations and their distributions are subjectively determined, so the premise of probability distributions of activity times is not always applicable.Therefore, we replace probabilistic considerations in the project network analysis by possibilitic ones, to reduce the difficulty arising from the inexact and insufficient information of activity times. So we use triangular fuzzy numbers (TFNs) to simulate the activity times and the fuzzy Delphi method to estimate the TFNs of each activity. Base on these time estimates, we then propose a new fuzzy project-network analysis method -Fuzzy Dominant Path Method (F-DPM) for calculating the fuzzy project completion time, the possibility of meeting certain project completion times, the degree of criticality for each path and other important parameters.Finally, the solution procedure will be described in detail conjunction with an example to illustrate the analysis, algorithm and computation of the proposed method. |

Chapter Introduction 8-12 1.1 topics background 8-10 the 1.2 topics raised 10-11 1.3 thesis research significance 11 1.4 of this thesis the main work 11-12 fuzzy the advantage line method theory 12-29 2.1 Network Program Basics 12-24 2.1.1 Critical Path Method CPM the 12-16 2.1.2 Program Evaluation and Review Act PERT 16-20 2.1.3 Monte Carlo (MCM) 20-21 2.1.4 advantage line method (DPM) [25] 21-24 2.2 Fuzzy math basic knowledge 24 -29 2.2.1 fuzzy sets (Zadeh, [15]) 24 2.2.2 Convex fuzzy sets and fuzzy number 24-25 2.2.3 LR fuzzy numbers (Dubois and Prade [13]) 25-26 2.2.4 triangular fuzzy numbers [20] 26 2.2.5 Fuzzy Sets nbsp triangular fuzzy number arithmetic; 26-28 2.2.6 28-29 Chapter fuzzy the advantage line method basic principle 29-42 3.1 Basic assumptions 29 3.2 basic definition 29-32 3.2.1 define a fuzzy weighted average value [14] 29-31 3.2.2 defined two Fuzzy variance and standard deviation of fuzzy [14] 31-32 defined in 3.2.3 fuzzy advantages path 32 3.2.4 defined three extended 32 3.3 Fundamental Theorem 32-35 3.3.1 Theorem a [14] 32-33 3.3.2 theorems, two [14] 33 3.3.3 Theorem fuzzy advantages Theorem 33-35 3.4 The basic algorithm of the F-DPM 35-42 3.4.1 using the Delphi method to determine each work lasted the fuzzy number 35-37 3.4.2 project risk coefficient λ and weight coefficient r determine 37-38 3.4.3 to determine the relationship between the advantages path 38-39 3.4.4 the line calculation steps fuzzy advantages 39 3.4.5 results analysis 39-42 Chapter Fuzzy advantage line law F-DPM program design and implementation 42-48 4.1 F-DPM program design principle 42 4.2 F-the DPM program design diagram 42-44 < br /> 4.3 F-DPM program application introduced 44-48 4.3.1 Input data window 44-45 4.3.2 input parameters window 45 - 46 the 4.3.3 results output window 46-47 the 4.3.4 data table output window 47-48 Chapter example 48 -59 5.1 expert review of each work lasted fuzzy numbers are found; 48 5.2 determine project risk coefficient λ and weight coefficient r 48-49 5.3 determine the relationship between the advantages path 49-51 5.4 results 51-52 5.5 parameter characteristics 52-57 5.5. a risk coefficient λ change calculations 52-55 5.5.2 weighting coefficient r change calculations 55-57 5.6 F-DPM PERT law 57-59 Chapter VI Conclusion and Outlook the 59-62 6.1 the practical value of the F-DPM algorithms analyze 59 6.2 The paper has not been involved in some of 59-62 Reference 62-65 Acknowledgements 65-67 |

- Approximation of Fuzzy Numbers and Its Application to Multi-Criteria Decision Making Method,C934
- Based on the combined effect of the rough planning model,O221
- Enterprise Based on Fuzzy Analytic Hierarchy legal risk assessment study,D920.4
- Based on BP neural network , coal and gas outburst risk prediction,TD713
- The Research into the Theory of Solution to Fuzzy Linear Programming Based on Fuzzy Structured Element,O159
- The Binary Relation of Fuzzy Numbers and Its Application,O159
- Research on Fuzzy Probability Based on Interval Probability,O211.6
- Multi- criteria decision-making methods based on intuition triangular fuzzy numbers,C934
- Research on the Multicritiera Decision Making Based on Intuitionistic Fuzzy Set Theory,C934
- Pricing Barrier Options for Lévy Process with Fuzzy Parameters,F830.9
- Stability Study of Fuzzy Differential Equations Initial Value Problems,O175
- Portfolio Investment with Profitability as Fuzzy Numbers and an Example in Practice,F830.91
- Research on Supply Chain Network Nuder Uncertain Demamd,F224
- The Pragmatic Functions of Fuzzy Numerals in News Reporting,H03
- Multi-attribute Decision Making Method Research and Application Based on Interval-valued Fuzzy Sets Theory,C934
- Study on Fuzzy Compound Real Options Pricing Model of Venture Capital Project Investment,F830.59
- Ranking Fuzzy Numbers and Fuzzy Linear Programming to Further Study,O159
- Research on Fuzzy Multiple Attribute Decision Making Based on Dedrived Judgment Matrix,O225
- Study on Multi-Attribute Group Decision Making Approaches with Uncertain Preference Information Based on Fuzzy Set and Stochastic Statistical Theory,C934
- American Option Pricing in the Model of Discrete Time,F830.9
- The Discussion of Solutions about Fuzzy Posynomial Geometric Programming,O221.2

CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods

© 2012 www.DissertationTopic.Net