AbstractAn intelligent decision-making method has been put forward to deal with overseas project loans decision-making, which is based on grey clustering analysis method. The grey clustering analysis is an algorithm based on the risk classification causes risk index system which clusters risk of harm degree into grey clustering risk index system, and realizes the decision overseas project loans to measure the risk accurately, and also can measure the results as a sample data set clustering analysis to get to the loan plan for clustering center decision model to complete the project implementation plan outside loans. The effectiveness of the method through the contrast experiment has been validated
Considering the concept of clustering, the main idea of the present study is based on the fact that ...
With the development of society, big data\u27s concept is mentioned more and more. However, in the n...
Construction engineering projects are costly and require large amounts of labor, physical, and finan...
AbstractAn intelligent decision-making method has been put forward to deal with overseas project loa...
Following the “going out” strategy, Chinese oil and gas companies have been widely involved in inves...
Investments are accompanied by risks. How investors choose the right investment tools to assist in t...
AbstractVenture capital, as one kind of investment instrument, has been highly concerned by investor...
Taking the development plans of an offshore oilfield as an example, a new comprehensive evaluation m...
Uncertainty is inherent and inevitable component of projects. Research literature suggests that Info...
AbstractThis paper builds a venture capital investment projects selection evaluation model base on r...
This paper presents an analytic hierarchy process (AHP)-fuzzy inference system (FIS) model to aid de...
In this paper, the risk evaluation model of shantytown transformation is constructed with the second...
Under the impact of the government’s policies to expand domestic demand and maintain economic growth...
AbstractIn this paper, the research and development (R&D) project portfolio selection problem is int...
In conditions of capital constraints, a single-objective nonlinear 0-1 integer programming model is ...
Considering the concept of clustering, the main idea of the present study is based on the fact that ...
With the development of society, big data\u27s concept is mentioned more and more. However, in the n...
Construction engineering projects are costly and require large amounts of labor, physical, and finan...
AbstractAn intelligent decision-making method has been put forward to deal with overseas project loa...
Following the “going out” strategy, Chinese oil and gas companies have been widely involved in inves...
Investments are accompanied by risks. How investors choose the right investment tools to assist in t...
AbstractVenture capital, as one kind of investment instrument, has been highly concerned by investor...
Taking the development plans of an offshore oilfield as an example, a new comprehensive evaluation m...
Uncertainty is inherent and inevitable component of projects. Research literature suggests that Info...
AbstractThis paper builds a venture capital investment projects selection evaluation model base on r...
This paper presents an analytic hierarchy process (AHP)-fuzzy inference system (FIS) model to aid de...
In this paper, the risk evaluation model of shantytown transformation is constructed with the second...
Under the impact of the government’s policies to expand domestic demand and maintain economic growth...
AbstractIn this paper, the research and development (R&D) project portfolio selection problem is int...
In conditions of capital constraints, a single-objective nonlinear 0-1 integer programming model is ...
Considering the concept of clustering, the main idea of the present study is based on the fact that ...
With the development of society, big data\u27s concept is mentioned more and more. However, in the n...
Construction engineering projects are costly and require large amounts of labor, physical, and finan...