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This paper innovatively proposes a hybrid intelligent system combining fuzzy comprehensive assessment approach and artificial neural network (ANN) that predicts the safety performance of construction site for breaking through the limitations of conventional method. And also inducts the sensibility analysis to discriminate the importance of each index in the assessment index system. The effectiveness...
Project management maturity is the reflection of enterprise project management level. Accurately evaluating project management maturity is significant for improving the competitiveness of Chinese construction companies. Firstly, combined with knowledge and characteristics of project management and enterprise practices, an enterprise project management maturity level model is proposed, and evaluation...
The construction industry is plagued by risk and often suffers poor performance as a result. Therefore, risk management is very important for construction project to achieve its goal. The risk evaluation is the basic work of risk management. There are a number of risk evaluation techniques, but each has its own faults. In this paper, a new model, which integrates Artificial Neural Networks and Rough...
Traditional risk assessment methods of construction project are often affected by the subjective factors. In order to reduce or avoid the effect of subjective factors, This paper firstly established the project risk evaluation index system, based on the detailed analysis of the project's internal and external environment, then built up the risk evaluation model with BP neural network, learned and...
Supplier relationship management can help construction enterprise gain a competitive advantage. This article defines the supplier relationship management (SRM) and establishes the evaluation criteria system base on the types of supplier relationship, which is classified according to the materials. Then BP model is selected to evaluate the construction material suppliers. In the end, the selection...
On the basis of the risk evaluation index system used for the decomposition of a governmental project of Construction-Agent work, this article proposes to establish a Construction-Agent project risk assessment model based on factor analysis-BP neural network and points out the basic ideas and steps of model-building after analyzing the strengthens and weaknesses of fuzzy comprehensive evaluation model...
How to analyze the problems in construction engineering projects efficiently is an important research task in construction project management. In order to put forward an efficient method, first, how to obtain the characteristics of problem phenomena and their parameters are analyzed on the guidance of rough set, and a new model to obtain the parameters of problem phenomena is set up. Then, how to...
In order to reflect the quality of construction projects, this paper constructed the evaluation index system of construction quality and designed BP network model based on neural network theory. Then in the MATLAB environment, an instance of the model was simulated, the results are consistent with the results of expert evaluation, and show that the method can make the quality evaluation of construction...
Application of constructon supply chain can increase construction enterprises' profits and enhance the core competitiveness. Under the condition of construction supply chain, the correct evaluation and selection of partners are the key to success. This paper establishes a partner evaluation system and proposes a kind of artificial intelligence method for the partners evaluation, combining with the...
Obtaining permanent competitive advantages in current intense market competition, it is crucial to establish high efficient and stable partnership for the enterprises in the construction supply chain. Whether a suitable partner is selected or not has a profound impact on the performance of the entire chain and the interests of all members of it. This paper focuses on solving this practical problem...
A new method is introduced that makes use of sparse image representations to search for approximate nearest neighbors (ANN) under the normalized inner-product distance. The approach relies on the construction of a new sparse vector designed to approximate the normalized inner-product between underlying signal vectors. The resulting ANN search algorithm shows significant improvement compared to querying...
Two new similarity indexes are introduced to explain the logic behind the classification methods A and B with attribute hierarchy model. Several kinds of new classification methods proposed are based on variations of the similarity between the expected response pattern and the observed response pattern. The results of simulation indicate that the new methods are better than methods A and B. And with...
Considering the shortcomings of conventional cost prediction methods, neural network was adopted to establish the cost prediction model of equipment system, which could efficiently solve the problems on the determination of network structure. And due to the importance of parameters optimization in Neural Network model, rough set was used to optimize the model parameters. The experiment results show...
Combined with the research status of construction safety management and considered of the human, machine and environment, the security control indexes of ??wounded rate per thousand?? and ??economic loss per million cost of project?? are used to analysis the influencing factors of the construction project and the indexes system was set up. With introducing information entropy to rough set reduction...
As is strongly promoted by the State important strategy of ?? energy conservation and emission reduction??, the development of energy conservation technology of construction has been deepened in a comprehensive manner. Building energy conservation technology project appraisal is a system engineering involved many factors, single-index appraisal can' t enforce the energy conservation project diffused...
The construction project delivery method chosen in the contract planning stage has a significant influence on the subsequent project performance. This paper aims to supply the employer with an effective and simple system of choosing the delivery method for certain projects in China. The fuzzy analytical hierarchy process (FAHP) is adopted to choose an appropriate construction project delivery methods...
Construction project quality management, the basis of construction management, is crucial for construction firms to survive and grow in the industry. This paper presents the adoption of artificial neural network (ANN) model and Unascertained system to assist decision-makers in evaluating the quality of construction projects in China. Artificial neural network (ANN) has outstanding characteristics...
According to the characteristics of green construction, this paper defines the key indexes in green construction assessment system which includes resources utilization, environmental protection and construction management. It also builds up green construction assessment model in which relationships among indexes are established. Back Propagation Neural Network (BPNN) optimized by genetic algorithm...
This paper focusses on a new clustering method called evidence accumulation clustering with dual rooted prim tree cuts (EAC-DC), based on the principle of cluster ensembles also known as ldquocombining multiple clustering methodsrdquo. A simple weak clustering algorithm is introduced based upon the properties of dual rooted minimal spanning trees and it is extended to multiple rooted trees. Co-association...
System reliability early warning aims to measure the rate of tolerance deviation from the reliability index borderline of the system running states, to confirm the early warning grade, and to assist decision-making warning. Analyzed and compared the methods of system early warning from home and abroad, and combined Rough Set (RS) theory and Artificial Neuron Network (ANN) technique, a new method based...
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