Research on selecting the credit evaluation indexes to the project managers in construction enterprises

In order to evaluate the credit status of the insured enterprise, from the perspective of guarantee companys risk management, according the evaluation indexes of the evaluation agencies both at home and abroad, this research constructs the credit guarantee evaluation index institutions used by themselves, and determines the weights of evaluation indexes by using FAHP. At last, this research designs the enterprise credit evaluation model based on the BP neural network and verifies the feasibility of the model through the demonstration analysis.

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Credit Evaluation Index System of Construction Enterprises

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.209-211.1423 ◽

2012 ◽

Vol 209-211 ◽

pp. 1423-1428

Author(s):

Chun Jie Ma ◽

Yan Ting Ma

Keyword(s):

Index System ◽

Objective Evaluation ◽

Evaluation Index System ◽

Evaluation Index ◽

Current Status ◽

Credit Crisis ◽

Analytic Hierarchy ◽

Credit Evaluation ◽

Construction Enterprises ◽

And Cluster Analysis

Based on the analysis of the current status on the credit crisis of construction enterprises, this paper established the Credit Evaluation Index System of Construction Enterprises combined with modern characteristics in the industry. By using the method of Analytic Hierarchy Process and Cluster Analysis, we determine the weight of each index, and then calculate each index data using fuzzy mathematic principle. Thus give an objective evaluation on the credit situation of construction enterprises.

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Fuzzy Evaluating Model and Method of C2C Sellers Credit Based on Larsen Criterion

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.571-572.1133 ◽

2014 ◽

Vol 571-572 ◽

pp. 1133-1139

Author(s):

Xi Kun Liang ◽

Li Min Tao

Keyword(s):

Numerical Experiment ◽

Credit Rating ◽

Calculation Scheme ◽

Traditional Methods ◽

Fuzzy Algorithm ◽

Credit Evaluation ◽

Evaluation Indexes ◽

Internal Relation ◽

Overall Evaluation ◽

The Common

Based on the common credit evaluation indexes system of the sellers for C2C, a fuzzy evaluating model is constructed based on Larsen criterion and the related algorithm is designed to evaluate the sellers. In this model, the indexes values are defined in continuous intervals and the internal relation between the overall evaluation and the sub-indexes is fully considered. So the credit characterization is close to the nature of the trading practices. Since the effect of the subjective factors on credit rating is efficiently eliminated in the calculation scheme, the credit grade got by the fuzzy algorithm is more reliable than the ones obtained by traditional methods. Finally, a numerical experiment is given to verify the effectiveness of the method.

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