Dissertation > Economic > Economic planning and management > Infrastructure the economy > Organization and management of infrastructure

Research and Application of GA-FAHP in Project Bid Evaluation

Author ZhangHongLei
Tutor WangYuDe
School Hebei University of Engineering
Course Structural Engineering
Keywords Bid Evaluation Fuzzy evaluation Analytic Hierarchy Process Genetic Algorithms
CLC F284
Type Master's thesis
Year 2011
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The bidding system engineering contract model is widely used by international and domestic construction projects , is a rich competitive procurement is an important manifestation of the market economy . Numerous aspects of the bidding activities , bid evaluation center and key aspects of the construction project bidding . Scientific evaluation methods conducive to the orderly development of the market . Choose a scientific and reasonable evaluation methods are important issues related to the project ultimately achieve success . Traditional evaluation methods are mostly subjectivity , qualitative analysis , quantitative analysis , it is difficult to fully grasp today's market diversification . Therefore, starting from perfect bid evaluation theory , conducted a comprehensive analysis of the construction project evaluation methods , combined with intelligent computing theory , get a new the bid evaluation decision-making method that improved genetic algorithm fuzzy analytic hierarchy process . Traditional analytic hierarchy process based on the combination of fuzzy evaluation theory , to summarize the factors that affect the construction project bid evaluation , classification , hierarchical processing , the establishment of a construction project bid evaluation index system and the relative importance of each indicator of comparative judgment matrix ; the same time , the introduction of improved genetic algorithm , heavier on the right to the Evaluation Indicators solved , get more reasonable , effective bid evaluation index weight . Finally, an example to verify the reasonableness of the evaluation system and bid evaluation index weight . Fuzzy evaluation principle , be relatively satisfied with the successful units , to provide a reference for the decision-making of policy makers .

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