Entropy weight TOPSIS evaluation of enterprise internal control quality based on fuzzy matter-element model

Tian, Tao; Zhang, Tiantian; Xiaoning, Li; Dajian, Tong

doi:10.3233/jifs-189901

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…After using the entropy weight method to obtain the weight of each evaluation index of the government-enterprise cooperation model, the TOPSIS method can be used to approximate the ideal solution ranking [30]. Its arithmetic derivation steps are as follows:…”

Section: Methodology For the Assignment Of Evaluation Indicatorsmentioning

confidence: 99%

Research on the Problems and Countermeasures of Government-Enterprise Interaction Based on the Background of Informationization Era

Peng,

Wen,

2023

Applied Mathematics and Nonlinear Sciences

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Government-enterprise interaction is related to the synergistic development of the government and enterprises, and it is also the wind vane of regional economic development. This paper starts with the problems of the government-enterprise interaction mechanism, analyzes the causes of these problems, and constructs a model for government-enterprise interaction based on them. In order to verify the effectiveness of the government-enterprise interaction model, an evaluation index system is constructed to evaluate it, and the entropy weight method and TOPSIS method are utilized to calculate the weights and rank the comprehensive score. Based on the constructed government-enterprise interaction model, this paper utilizes examples to conduct government-enterprise interaction correlation analysis. The results show that the highest mean value of the first-level index in 2010-2020 after solving by entropy weighting method is 0.2829, and the weight of the government purchasing service in 2017-2020 is 0.2059. Among the 10 sample enterprises, the relative posting progress is the highest at 0.5662, and the highest composite score for the level of government-enterprise interaction is 0.52171 points. Under the background of informationization, it is necessary to further strengthen the government’s “delegating-regulation-service” reform, fully do a good job of macro-control in order to guide enterprises to better carry out government-enterprise interaction, innovate the mode of government-enterprise interaction, and fundamentally improve the interactive behavior of the government and enterprises.

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Section: Methodology For the Assignment Of Evaluation Indicatorsmentioning

confidence: 99%

Research on the Problems and Countermeasures of Government-Enterprise Interaction Based on the Background of Informationization Era

Peng,

Wen,

2023

Applied Mathematics and Nonlinear Sciences

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“…Finally, from the ideological point of view, the company executives should firmly support the establishment of the structure of the full-cost refinement of the control system, and require the business departments to be unified in their thinking, attach great importance to and actively cooperate with the implementation of all kinds of cost management initiatives, and to give the lead department a larger assessment authority and incentive authority, and to form a fixed cycle of reporting decision-making mechanism. Only the enterprise organization as a solid guarantee, the establishment of the management structure of the full cost refinement control system management structure has the basis for stable development [16][17][18].…”

Section: Control System Architecturementioning

confidence: 99%

The use of full-cost refinement management in enterprise economic management

Cai

2024

3C TIC

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This paper firstly structures the control system to ensure that the full-cost refinement management has a basis and forms a closure in the management chain. Secondly, it enhances the project system management, solidifies all the nodes, puts the communication mechanism in front, and ensures the efficient synergy and reasonable division of labor while establishing the efficient management and communication mechanism, so that it is located in the full-cost refinement management. Finally, the AHP method is used to choose the implementation method of the information system, so as to adapt the full-cost refinement management to the needs of each level and realize the application of full-cost refinement management in the economic management of the enterprise. The final simulation results show that the consistency ratio calculations of the decision-making level management organization, the executive level management organization, the basic level production department, and the other learning and growth, CR are 0.017, 0.023, 0.031, and 0.013, respectively, which are all less than 0.1, and pass the consistency test and do not need to be adjusted. It shows that the results of the calculation of the stratified weight assessment of the full-cost refined management provide an effective guarantee for the economic management of the enterprise, and can be found to be unreasonable in the process of practice, and make timely adjustments to solve the problem.

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“…It is essential to select the appropriate weight determination method and index evaluation model. e methods to determine the index weight include entropy weight method [12,13], analytic hierarchy process (AHP) [14], best-worst method (BWM) [15], fuzzy best-worst method (FBWM) [16,17], etc. e entropy weight method is to weight the indexes on the premise that the level of evaluation indexes is very different.…”

Section: Introductionmentioning

confidence: 99%

New Energy Power Generation Enterprise Credit Evaluation Based on Fuzzy Best-Worst and Improved Matter-Element Extension Method

Liu¹,

Guo²,

Kou³

et al. 2022

Mathematical Problems in Engineering

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Under the background of the new power system, the proportion of new energy power generation enterprises in the power market is gradually increasing. With the further expansion of China’s power trading scale, the increasingly fierce market competition, and the instability of new energy output, the credit problems of new energy power generation enterprises in the trading process cannot be ignored. Therefore, improving and perfecting the credit system of new energy power generation enterprises is necessary for building a modern market system. Firstly, the credit indexes of new energy power generation enterprises are constructed from the three dimensions of performance ability, performance behavior, and performance willingness. Then, a credit index evaluation model of new energy power generation enterprises is proposed based on the fuzzy best-worst and improved matter-element extension method. Finally, an empirical study is carried out. The analysis results show that scheduling discipline compliance, historical credit, and participation rate of the market-oriented transaction have a more significant impact on the recognition of new energy power generation enterprises. They should focus on market transactions. The model proposed in this paper can effectively deal with the ambiguity of indexes in the credit evaluation of new energy power companies. Through comparison with other models, the effectiveness of the model proposed in this paper in the credit evaluation of power companies is further verified. Construction provides method support.

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Entropy weight TOPSIS evaluation of enterprise internal control quality based on fuzzy matter-element model

Cited by 3 publications

References 6 publications

Research on the Problems and Countermeasures of Government-Enterprise Interaction Based on the Background of Informationization Era

Research on the Problems and Countermeasures of Government-Enterprise Interaction Based on the Background of Informationization Era

The use of full-cost refinement management in enterprise economic management

New Energy Power Generation Enterprise Credit Evaluation Based on Fuzzy Best-Worst and Improved Matter-Element Extension Method

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