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Zhang Fei-lian

Bio: Zhang Fei-lian is an academic researcher from Central South University. The author has contributed to research in topics: Engineering optimization & Risk management plan. The author has an hindex of 2, co-authored 5 publications receiving 13 citations.

Papers
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Journal Article
TL;DR: In the course of risk management, effective risk prevention measures should be put forward by risk identification and risk assessment, on the basis of specific projects, and risk prevention system should come into being,in order to minimize project risk, and reduce losses as discussed by the authors.
Abstract: Risk management is one of the core contents of the construction project management.In the course of risk management,effective risk prevention measures should be put forward by risk identification and risk assessment,on the basis of specific projects,and risk prevention system should come into being,in order to minimize project risk,and reduce losses.

5 citations

Journal Article
TL;DR: Several mass transit line networks were evaluated based on the relative membership degrees that obtained from a fuzzy expandable engineering optimization model which integrated the idea of fuzzy mathematics,extenics and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
Abstract: Comprehensively considering the relationship of several factors,such as the coordination of urban mass transit network and the urban development,the implementation of construction,rationality of urban mass transit line network structure and comprehensive effect,an appraisal index system of urban mass transit network was established.In order to determine the weights of evaluation factors,an integrated weighting construction method was formed,which combined the subjective weights,coming from expanded single Analytic Hierarchy Process(AHP) to multi-experts weighting method with negotiation theory,and the objective weights based on entropy theory.Several mass transit line networks were evaluated based on the relative membership degrees that obtained from a fuzzy expandable engineering optimization model which integrated the idea of fuzzy mathematics,extenics and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS).As a validation,Changsha urban mass transit line network was evaluated to verify the feasibility and practicality of the model and the method mentioned above.

3 citations

Proceedings ArticleDOI
01 Dec 2010
TL;DR: In this paper, a new multi-attribute group decision-making model aiming at the decision making problem of construction programme choice is proposed. But the model is based on the entropy theory for data mining to determine the attribute weights and the minimizing deviation principle for determining the group decision makers' weights.
Abstract: The construction programme choice is the basis for programme management A scientific and practical choice and decision-making model of construction programme renders as an important guarantee for the success of choice and management of construction programme This paper advances a new multi-attribute group decision-making model aiming at the decision-making problem of construction programme choice First, the entropy theory for data mining to determine the attribute weights is introduced in this paper based on the decision matrix information of decision-makers; then, the minimizing deviation principle to determine the group decision-makers' weights is proposed based on the analysis of the group decision-makers' attribute weights information; finally, a decision is made after the identification of the group synthetic attribute values of subprojects in combination of the decision-making matrices of decision-makers, the attribute weights and the group decision-makers' weights Eventually, the feasibility and practicability of the model is verified by the example

2 citations

Proceedings ArticleDOI
10 Oct 2009
TL;DR: Wang et al. as mentioned in this paper discuss the importance of the claiming management in client's project management by building client's claiming management game model and discuss the probabilities of different tactics they may make when there is claiming fraud and provide some suggestions of how to prevent claiming and improve our consciousness of counter claiming.
Abstract: For the competition of construction contract market is getting serious, claiming has become a phenomenon between the client and contractor which always occurs and generally exists in the contract performance course. But in China the research on claiming is still weak, especially relating to the client’s claiming management which needs to be complemented and improved gradually. This paper discusses the importance of the claiming management in client’s project management by building client’s claiming management game model. Because of the asymmetric information existing between the client and the contractor, this paper also discusses the probabilities of different tactics they may make when there is claiming fraud and provides some suggestions of how to prevent claiming and improve our consciousness of “counter claiming”, which aims at improving the overall standard of project management in China.

2 citations

Proceedings ArticleDOI
13 Oct 2010
TL;DR: For the requirements of freight volume forecast on the post-evaluation work of Inland Navigation and Hydropower Project, the two prediction methods-exponential smoothing method and the gray method were compared in this paper, and established prediction model of each method.
Abstract: In this paper, for the requirements of freight volume forecast on the Post-evaluation work of Inland Navigation and Hydropower Project, the two prediction methods-exponential smoothing method and the gray method were compared in this article, and established prediction model of each method. By freight volume forecast of DaYuanDu Navigation and Hydropower Project hinterland, the results shows that the gray prediction method forecasting accuracy is higher than that of exponential smoothing method. The gray prediction method is recommended in Post-evaluation work to predict similar data.

2 citations


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Journal Article
TL;DR: In this paper, the grey system theory and GM(1,1) grey forecasting model are briefly analyzed in view of characteristics of the tourism system, and combining with the purpose of tourism market forecasting,grey forecasting model is applied to the regional tourism forecasting, and an example of Guilin in Guangxi Zhuang Autonomous Region is taken to illustrate the application of the model with satisfactory results obtained.
Abstract: The grey system theory and GM(1,1) grey forecasting model are briefly analyzed in this paper.In view of characteristics of the tourism system,and combining with the purpose of the tourism market forecasting,grey forecasting model GM(1,1) is applied to the regional tourism forecasting.Finally,an example of Guilin in Guangxi Zhuang Autonomous Region is taken to illustrate the application of the model with satisfactory results obtained.

70 citations

Proceedings ArticleDOI
05 Nov 2011
TL;DR: Based on the simulating results, this project's investing risk was analyzed and the meanings of the simulation results were illustrated and suggestions to the investors were provided.
Abstract: When investing mining projects, we often cannot make an accurate judgment of the investing project's risk degree because there are too many influential risk factors, with different kinds of uncertainties at the same time. To solve this problem, Monte Carlo simulation method is an effective way. It can be accomplished by computer software with enough times of sampling process. The analysis of the output can help judge the degree of risk. In this paper, the Monte Carlo simulation was performed in computer and applied to an iron ore mine investment. Base on the simulating results, this project's investing risk was analyzed. We illustrated the meanings of the simulation results and also provided suggestions to the investors.

6 citations

Proceedings ArticleDOI
21 Dec 2012
TL;DR: Wang et al. as mentioned in this paper discussed the engineering problems connected with China's oil and gas pipelines as well as the geo-environment conditions and geo-hazard characteristics of the Sichuan-Shandong Gas-Pipeline Project (Hubei section).
Abstract: Oil and gas pipeline projects are mega-projects which are closely related to the national economy and the livelihood of people. They have high standards and strict requirements assuring safety and reliability. At present, China’s total length of pipelines reaches up to 60,000 km, and the number keeps increasing quickly. Pipelines pass through different topographic and geological tectonic units, where they meet different kinds of geologic hazards. This paper discusses engineering problems connected with China’s oil and gas pipelines as well as the geo-environment conditions and geo-hazard characteristics of the Sichuan-Shandong Gas-Pipeline Project (Hubei section).Solutions are offered using the comprehensive evaluation method of fuzzy mathematics and probabilistic analysis method. Geological hazard risk assessment is carried out and geological hazard grade and subarea are classified. In addition, the relevant protective countermeasures to geological hazards are suggested.. Risk management and control strategies for geological hazard prevention during operation of oil and gas pipeline projects are discussed which provide a scientific basis of pipeline distribution, strike adjustment and control in geological hazard area.

4 citations

Journal ArticleDOI
01 Sep 2013
TL;DR: Although each bee has different inclinations, the honeybee swarm is capable of choosing the best nesting site, and this advantage was applied to generate hotel rankings to solve the problem of selecting the best hotel from a review of hotel rankings.
Abstract: Currently, studies on group decision making are attracting considerable attention in many fields. With the increasing use of the Internet, there is an abundance of information available easily to us. However, it is difficult to evaluate accurately the reliability of such information, because much of it is colored by preferences and bias or opinion. It is therefore of interest to develop a group decisionmaking algorithm that can make appropriate decisions by processing this kind of information. Group decision-making algorithms are employed in many situations, a typical example being the evaluation of a hotel’s overall quality. However, current methods of evaluating hotels are not always reliable, because a guest may not be able to evaluate all hotels, and different guests have different preferences, or “inclinations.” As such, it is difficult to select the best hotel from a review of hotel rankings. In this paper, in an attempt to solve this problem, we focus on decision making that takes place in a honeybee swarm to select a nesting site. Although each bee has different inclinations, the honeybee swarm is capable of choosing the best nesting site. We applied this advantage to generate hotel rankings. We then conducted simulations that assumed practical application and confirmed that reviewers agreed on the top hotels, and the reliability of the top rankings improved, at the expense of decreased reliability of the lower rankings.

3 citations