Multiple indicators and analytic hierarchy process (AHP) for comprehensive performance evaluation of exhaust hood

Zhao, Jingjing; Chen, Ruo-ning; Wang, Jiahua; You, Xue-yi

doi:10.1007/s12273-021-0862-z

Cited by 8 publications

(3 citation statements)

References 49 publications

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“…(1) in the low-end market, the bargaining power of is low (2) Strong supply chain integration ability and R&D ability make the product cost lower and the quality better (2) core competencies to be cultivated and developed (3) perfect production and sales system: with integrated construction from product design, production to terminal sales (3) e brand lacks overall planning, and the brand awareness, loyalty, and reputation need to be further improved Table 3 shows the weights of all factors at the three levels. Among them, among the secondary factors, the product dimension X1 has the largest weight, which is 0.4586, indicating that the product has the greatest impact on the brand image of the A sports brand; e second is the dimension of publicity image, and the dimension of the enterprise-customer relationship, with weights of 0.2411 and 0.1295, respectively; compared with the other five dimensions, the symbol dimension is the smallest at 0.0291, indicating that the impact of symbols on the brand image of A sports brand is relatively small [15]. For the third-level factor, in the product dimension, the weight of product quality X11 is the highest, which is 0.4121, followed by the price of the product; in the enterprise dimension, the position of the enterprise in the market contributes the most to it, with a contribution rate of 0.5183, followed by the reliability of the enterprise's products and the stability of the enterprise's product quality; in terms of service image, the largest weight of store environment is 0.3579, followed by the convenience of purchasing products and the location of the store; in the dimension of publicity image, the impression of advertisement has the largest weight, which is 0.5242, followed by membership card, VIP card system and advertising image spokesperson; in the dimension of enterprise-customer relationship, the largest contribution rate is 0.4937, followed by the role of the brand in life; in the dimension of brand symbol, the contribution rate is the brand name, brand packaging and brand logo [16].…”

Section: Typementioning

confidence: 99%

Analysis of the Influencing Factors of Urban Sports Brand Sales Volume Based on AHP

Zhang

Zhou

2022

Mathematical Problems in Engineering

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In order to evaluate the brand image and help enterprises to build an ideal brand image, the influence factors of urban sports brand sales volume based on AHP are studied. The article takes the A sports brand as the research object, selects six dimensions including product dimension, enterprise dimension, and service image dimension, establishes a brand image evaluation model, and uses the AHP to study the A sports brand image. The experimental results show that: it is found that the overall evaluation value of A sports brand image is 81.153 points, which is rated as very satisfactory, it is proven that the research gives relevant recommendations for maintaining and developing brand image.

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Section: Typementioning

confidence: 99%

Analysis of the Influencing Factors of Urban Sports Brand Sales Volume Based on AHP

Zhang

Zhou

2022

Mathematical Problems in Engineering

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“…The AHP is used in this research to build a hierarchical assessment indicator system based on extracting ideological and political components from English courses. Three levels make up the indication system [25]:…”

Section: Construction Of Evaluation Indicator Systemmentioning

confidence: 99%

Ideological and Political Evaluation of English Courses in Heterogeneous Campuses Based on UAV Network

LIU

2023

J Multimed Inf Syst

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Campus heterogeneity has become prominent with the deeper popularization of higher education, necessitating more focused ideological and political instruction. English classes are crucial because they help students develop their humanistic traits and capacity for intercultural dialogue. Although it is a realistic strategy, integrating ideological and political education into English instruction depends on scientific assessment of the educational quality. Existing assessment approaches, however, need to be more particular for English courses and flexible enough to accommodate diverse student populations. Traditional questionnaire surveys are only sometimes accurate, timely, or complete. Therefore, based on the unmanned aerial vehicle (UAV) network, this research suggests a novel ideological and political education quality evaluation approach for English courses at varied campuses. A consistency feature extraction method is used to identify the ideological and political factors in English teaching by analyzing the consistency between English courses and ideological and political courses. The analytic hierarchy process determines the indicator weights. Teachers' education roles are quantified based on educational psychology theories. A UAV network is leveraged to collect real-time classroom data adaptively across various campus types-fuzzy comprehensive evaluation aggregates multisource data for objective and pertinent assessment. Experiments on three campus types and 60 teachers validate the effectiveness. The model achieves over 84% accuracy, significantly higher than conventional questionnaire and fixed sensor methods. The results match expert opinions and offer diagnostic suggestions to improve teaching. The model provides a practical data-driven approach to evaluate and enhance the ideological and political education quality through English courses on heterogeneous campuses.

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“…In the current era of information and information technology, competition in this field continues and intensifies over time. In order to survive in the long run and achieve sustainable development, businesses need to pay close attention to the development of their management systems [9]. erefore, Lu et al believe that a comprehensive performance evaluation procedure and goal are needed to guide the behavior of company management and employees in this field.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Neural Network Sample Training Algorithm in Economic Information Management System

Wang¹

2022

Mobile Information Systems

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In order to make up for the shortcomings of traditional financial evaluation, this paper proposes a method of enterprise comprehensive performance evaluation system based on the balanced scorecard method and BP artificial neural network model. This method focuses on the application methods and steps of BP artificial neural network model in enterprise comprehensive performance evaluation system. In addition, it also makes a detailed study on the initial weight and threshold assignment of the BP network, the selection of training samples, the determination of hidden layer, the convergence of network, and so on. The experimental results show that this method verifies the comprehensive performance evaluation results of 15 manufacturers, and the results are 4 excellent, 5 good, 3 average, 2 poor, and 1 very poor. This method effectively reduces the limitations of enterprise comprehensive performance evaluation by introducing nonfinancial evaluation indicators.

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Multiple indicators and analytic hierarchy process (AHP) for comprehensive performance evaluation of exhaust hood

Cited by 8 publications

References 49 publications

Analysis of the Influencing Factors of Urban Sports Brand Sales Volume Based on AHP

Analysis of the Influencing Factors of Urban Sports Brand Sales Volume Based on AHP

Ideological and Political Evaluation of English Courses in Heterogeneous Campuses Based on UAV Network

Application of Neural Network Sample Training Algorithm in Economic Information Management System

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