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In recent years, domestic and international oil and gas exploration in the oil fields made a high level of technology demands, oil companies working in the structure of scientific research and technological development and therefore a profound change occurred. Oil companies work on the evaluation of scientific and technological achievements have been undertaken for many years, the evaluation also...
The paper has analyzed the characters of TPL service provider selection based on online trading platform and constructed evaluation index system following the principle of real-time, simplification, uniformity and efficiency. Simultaneously, this paper has proposed intelligent decision-making method of the TPL service provider selection based on online trading platform and BP artificial neural network...
In today's competitive environment, effective supplier selection process is very important for the success of manufacturing organizations. In this context, supplier selection represents one of the most important functions to be performed by the purchasing departments. Supplier selection is a multi-criteria problem including many factors (criteria). In the literature, a number of models and techniques...
This paper analyzed the principles of TOPSIS, used the fuzzy set to pretreat the uncertainty factors in evaluation work. Then obtain the relative closeness according to the distance between each schemes and positive ideal solutions as well as negative ideal solutions. After that, we made comprehensive evaluation. At the end of this paper, a practical example is given to illustrate the effectiveness...
Based on the analysis of the content, the evaluation index and the evaluation methods of the convergence of informatization and industrialization, this paper proposes an index system and an adaptable evaluation method, and also proposes a comprehensive evaluation model for converging of informatization and industrialization.
Mechanism type selection is a critical problem often encountered in conceptual design stage of mechanical system. A BP neural network based approach to mechanism type selection is proposed, which capitalizes on the features of nonlinearity, self-organization, and fault tolerance of a neural network to implement classification and selection. By using appropriate data sets to train the neural network...
Developed a novel model named dynamic neural network model for the risk evaluation of an investment project. The fundamental identification of weight was given based on Triangle Fuzzy Number and Analytical Hierarchy Process (TFN-AHP), through combining the weight with dynamic decision group, a formula of dynamic normalized weight vector was established by Clustering, and the final weight vector of...
In this paper we want to provide a decision-making model for cluster enterprises to select partners. Previous studies are more based on enterprises' capabilities, we studies from a new perspective of credit assessment. First, we established a credit assessment index system of cluster enterprises' partners, it analyzed a candidate enterprise from three parts as strength credibility, honesty credibility...
In order to get rid of the limit of traditional methods and provide a decision making reference for the supervision of securities organizations and the risk control of investors, A novel model based on SOM2W network (SOM with 2 winners self-organizing map) is proposed for assessment financial performance of the listed companies. In addition, a tabu-mapping method is proposed to avoid that the same...
With the rapid development of network technology, e-commerce has become an irresistible trend of the world. At the same time, network transaction is facing a growing number of opportunities and challenges. Many researchers from different angles, using different research methods and technical means, research on credit evaluation techniques in e-commerce transaction, which makes a great many of relevant...
Reservoir flood control operation, which plays an important role in reducing the flood loss, ensuring the safety of life and property and realizing the safe utilization of flood resources, is a complex decision making problem involving flood control, water supply and power generation. For the precise optimal solution of reservoir flood control operation is difficult to be found, thus the researching...
With the development of economic and continuous improvement of people's living standard, many people have paid more attention to the issue of community security so that a lot of crime prevention systems are installed around the community in recent five years. How to measure the community risk scientifically and make full play to the protection effectiveness on crime prevention system is the complex...
The performance assessment of supply chain plays an important role in supply chain management of enterprises. In this paper, we set up performance evaluation index system including business process, financing, client, study and development of supply chain by balanced scorecard (BSC) method. The comprehension evaluation model of supply chain performance based on least squares support vector machines...
In order to identify suppliers and select appropriate suppliers, a supplier identification model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network. In the model, supplier performance decision table was designed, the heuristic attribute reduction algorithm based on discernable matrix was put forward, and the reduction of evaluation indicator system...
There are some weaknesses in the traditional safety evaluation methods, such as, slow reasoning, low accuracy and so on, so thinking of a variety of factors which affect gas safety, a gas safety evaluation index system is built, which focuses on the state of gas, mine ventilation, gas monitoring, safety management and kindling. Combining the fuzzy comprehensive evaluation method with gray correlation...
Rough set and fuzzy set theory in information system is the research on incomplete knowledge, the problem is not accurate. According to the limitation of traditional knowledge representation system using fixed attribute set to describe object, the fuzzy model is formulated to describe information in knowledge representation system and the model provides the fuzzy representation of objects in database...
This paper analyzes the classifications, foundations of the theory, principles, advantages, disadvantages, and the main application scope of common system evaluation methods including fuzzy comprehensive evaluation, grey forecasting method, technology-economy analytical method, principal component analysis, discrimination analysis, analytic hierarchy process and intelligent evaluation. Then these...
Appropriate methods are helpful to measure risk. The risk is objective in acquisitions. It resources from subjective risk, morality risk, information asymmetry risk, law risk, system risk, policy risk and market risk during the process of mergers and acquisitions decision-making. In the different stages of decision-making, the emphases of risks are different Index of measuring risks can be established...
Based on the total quality evaluation system framework, fuzzy evaluation index system is put forward to consider various factors. Based on the mathematical evaluation model, the practical application of total quality management in the enterprise environment is studied. It is concluded that comprehensive fuzzy evaluation is used to evaluate and solve the unclear boundary of some network courses indicators...
Due to objective conditions, it is difficult to collect detailed and accurate educational information. This situation directly affects accuracy of education evaluation. With these problems, the paper tries to evaluate the quality of university's doctoral theses based on grey relational analysis. A case of Jiangsu Province doctoral theses evaluation is studied, and the results showed that grey relational...
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