AHP-fuzzy Comprehensive Evaluation Model Research Articles

Assessment of water conservation and water intensification level based on AHP-fuzzy comprehensive evaluation model

Scientific evaluation of water conservation and water intensification level is an important prerequisite for addressing water resource shortage. In the current research, there are problems of confusing evaluation indicator systems and unscientific evaluation results. The paper first constructed the evaluation indicator systems of water conservation and water intensification based on the different connotations of the two, and then evaluated the utilization level of the two respectively by using AHP-fuzzy comprehensive evaluation model. The results indicated that from 2010 to 2022, the level of water conservation and water intensification in Zhengzhou both showed an upward trend, but the conservation level was higher than that of intensification. Therefore, promoting water intensification is the key to realize scientific water use in Zhengzhou in the future. Improving conservation level should prioritize the improvement of agricultural and domestic water use, while enhancing intensification level should prioritize the improvement of comprehensive and ecological water use. Separate evaluation of the two is more conducive to identifying weaknesses in their respective processes. Thus, more targeted and scientific improvement measures can be taken to enhance the level of urban water resource development and utilization.

Research on the Influencing Factors of Cross-border E-commerce Development of Fresh Agricultural Products under the Internet Environment

Abstract This paper analyzes the current situation of cross-border e-commerce of fresh agricultural products in China regarding import and export trade, e-commerce development and logistics services, and summarizes the existing problems and influencing factors. Through the establishment of AHP-fuzzy comprehensive evaluation model, according to the established index system, the weight of each index factor is determined by using hierarchical analysis, and the importance degree of the influencing factors is calculated using fuzzy comprehensive evaluation method. The results show that among the primary indicators, the supply of fresh agricultural products has the highest influence, with a score of 4.49. Among the secondary indicators, the quality of new farm products and cross-border e-commerce trading platforms have a very high degree of influence, with scores of 4.714 and 4.518, respectively. The study provides a vital decision-making support for optimizing the development of cross-border e-commerce for fresh agricultural products.

Construction of fuzzy mathematical model for judging financial indexes of private enterprises under the perspective of deep learning

Abstract This paper introduces a novel financial evaluation framework combining deep learning, hierarchical analysis, and fuzzy comprehensive evaluation to form the AHP-fuzzy comprehensive model. This model is designed to refine financial analysis by constructing precise evaluation indexes and determining weight values, specifically tailored for the financial management of private enterprises. Through a case study on Enterprise A, focusing on solvency, operational efficiency, and cash flow, we observed significant trends: a decline in the quick ratio from 0.92 in 2017 to 0.49 in 2021, a decrease in the accounts payable turnover ratio from 2.58 in 2017 to 2.01 in 2020, and a concerning downward trend in the cash to current liabilities ratio, culminating in −11.30% in 2020. These findings validate the effectiveness of the AHP-fuzzy comprehensive evaluation model in providing nuanced financial assessments for private enterprises.

Bank Credit Strategy Model Based on AHP-Fuzzy Comprehensive Evaluation

Credit risk control and credit strategy formulation of medium and micro enterprises have always been important strategic issues faced by commercial banks. Banks usually make corporate loan policies based on the credit degree, the information of trading bills and the relationship of supply-demand chain of the enterprise. In this paper, we established the AHP-Fuzzy comprehensive evaluation model for quantifying enterprise credit risk. Based on the relevant data of 123 enterprises with credit records, the credit strategy is formulated according to the three indicators of enterprise strength, enterprise reputation and stability of supply-demand relationship. This paper also combines the credit reputation, credit risk and supply and demand stability rating in order to establish the bank credit strategic planning model to decide whether to lend or not and the lending order. The conclusion shows that, under the condition of constant total loan amount, the enterprises with the highest credit rating should be given priority. Then, combined with the change of customer turnover rate with interest rate, we take the bank's maximize expected income as objective to calculate the optimal loan interest rate of different customer groups.

Research and application of AHP-fuzzy comprehensive evaluation model

AHP refers to the decision making method that decomposes the elements that are always related to decision-making into levels of objectives, criteria, schemes, etc., and conducts qualitative and quantitative analysis on this basis. Fuzzy comprehensive evaluation method is a comprehensive evaluation method based on fuzzy mathematics, which converts qualitative evaluation into quantitative evaluation according to the membership theory of fuzzy mathematics. In this paper, Yaahp software is used for weight calculation and consistency test of ahp, and sensitivity analysis is also carried out. The fuzzy comprehensive evaluation method is used to determine the evaluation index set and the fuzzy comment set, and the evaluation model is constructed by fuzzy synthesis. On this basis, the empirical analysis is carried out.

Information Security Risk Assessment of Hazardous Chemicals Emergency Command System Based on AHP-Fuzzy Comprehensive Evaluation Model

Emergency command system is the hub of dealing with emergencies, which is of great significance to emergency rescue. In order to establish a more perfect emergency command system, considering the characteristics of strong subjectivity and large error in qualitative evaluation of information security system, based on AHP (Analytic Hierarchy Process) and Fuzzy (Fuzzy Analysis) evaluation method, this paper uses AHP-Fuzzy comprehensive evaluation model to quantitatively evaluate the information security of emergency command system of a hazardous chemical production enterprise in Qingyang, and calculates the risk. The validity of the discriminant model is verified.

Atmospheric environmental quality assessment method based on analytic hierarchy process

Atmospheric environmental quality significantly influences the environment of people's life and the development of modern society. Therefore, in this paper, we aim to accurately assess atmospheric environmental quality. Firstly, we propose and analyze two indicator systems for atmospheric environmental quality assessment, that is, 1) the standard air pollution index, and 2) an index system which covers different types of influencing factors related to air quality. In particular, the proposed index system is made up of seven parts, that is, 1) Climate and meteorology, 2) Economic and social development, 3) Industrial structure, 4) Energy consumption, 5) Industrial pollutant discharge, 6) The greening of the city, and 7) Environmental protection construction. Secondly, we propose a hybrid AHP-Fuzzy Comprehensive Evaluation Model to evaluate the atmospheric environmental quality. In the hybrid model, AHP is used to calculate the weight coefficient of the index system, and fuzzy comprehensive evaluation model is exploited to describe the vagueness of remark in the evaluation process. Finally, experimental results demonstrate that using the proposed index system, the hybrid AHP-Fuzzy comprehensive evaluation model is able to assess air quality more accurately than the modified API.

Risk assessment of supply chain for pharmaceutical excipients with AHP-fuzzy comprehensive evaluation

As the essential components in formulations, pharmaceutical excipients directly affect the safety, efficacy, and stability of drugs. Recently, safety incidents of pharmaceutical excipients posing seriously threats to the patients highlight the necessity of controlling the potential risks. Hence, it is indispensable for the industry to establish an effective risk assessment system of supply chain. In this study, an AHP-fuzzy comprehensive evaluation model was developed based on the analytic hierarchy process and fuzzy mathematical theory, which quantitatively assessed the risks of supply chain. Taking polysorbate 80 as the example for model analysis, it was concluded that polysorbate 80 for injection use is a high-risk ingredient in the supply chain compared to that for oral use to achieve safety application in clinic, thus measures should be taken to control and minimize those risks.

Comprehensive Competency Evaluation on the National Class1 Registered Architects<i></i>

the National Registered Architect Qualification Exam has held a total of 18 times since the National Registered Architect Qualification System was established,which has a history of nearly 20 years since 1995. The test system played an important role in promoting the development of architectural design industry and improving the competency of architects. But for some reasons, there are still some deficiencies and problem in the system. The biggest problem is that how to determine whether the practicing ability of National Registered Architects can meet the requirements of architectural industry and market. This thesis analyzes the status of examinees and the quality of examination questions based on the exam data of the National Registered Architects Qualification. The comprehensive competency evaluation on the National Registered Architects has been obtained using AHP-fuzzy comprehensive evaluation model.