Effective Evaluation System Research Articles

Effect of Training on Employee Performance: A Quantitative Study on Employees within the Human Resource Department

This study aims to explore the relationship between employee training and employee performance in organizations. It uses a theoretical framework of competencies—knowledge, skills, and attitudes—to present the relationship between training and employee performance. Training provides three learning outcomes, i.e., knowledge, skills, and attitudes (KSAs). These learning outcomes develop competency among employees to improve problem-solving capacity, productivity, timeliness to perform the assigned job, creativity, quality, and fulfillment of customer demand, which are the indicators used to measure employee performance. This study has been conducted based on primary data collected through a questionnaire survey from a sample of one hundred and seventeen employees working in the human resource (HR) departments of some selected private organizations in Bangladesh. Respondents have been selected through the convenience sampling method. Statistical tools, such as SPSS and MS Excel, are used to make correlation and regression analysis. Blanchard et al.’s (2014) KSA theoretical approach has been used to analyze empirical findings. This study has revealed that there is a moderate positive influence of training programs on employee performance. The empirical and practical significance of the study focuses on the importance of effective training to improve employee performance in organizations. However, organizations must use an effective evaluation system to ensure the effectiveness of training programs.

Evaluation of Physical Education Teaching Effect Based on Action Skill Recognition.

In order to improve the effect of physical education teaching in modern colleges and universities, this paper combines the movement skill recognition algorithm to construct a physical education effect evaluation system and studies the multispectral image reproduction system in practical application. Moreover, this paper gives a detailed description of more advanced functional modules in the system, such as spectral acquisition, spectral reflectance reconstruction, and spectral color correction. In addition, this paper focuses on the algorithm design of the color appearance matching module. By adding the “color appearance transformation” on the source side and the “color appearance inversion” on the reproduction side, the source image and the reproduced image can achieve color appearance matching in the observation condition-independent space. The simulation experiment verifies that the physical education effect evaluation system based on action skill recognition meets the actual needs of physical education and has a good role in promoting the recognition of physical skills and the improvement of physical education effect.

SCC-UEFAS, an urban-ecological-feature based assessment system for sponge city construction

An effective sponge city construction evaluation system plays a crucial role in evaluating sponge city construction schemes. The construction of a sponge city evaluation system still faces challenges related to incomplete index selection and unscientific weight division. Limited studies have focused on the comprehensive assessment of sponge city construction in the early stages. This study constructed a scientific assessment indicator system and a quantitative indicator weight at all levels by literature review and statistical analysis methods from an objective perspective. To demonstrate how to utilize our evaluation methods, three construction schemes randomly generated by MATLAB were evaluated under evaluation states of constant weight and variable weight, respectively. Scheme 3 had the highest score of 0.638 under the constant weight assessment, but it cannot practically be the final construction scheme due to the imbalance between indicators. Compared to the constant weight assessment, a variable weight assessment can effectively balance the states of the evaluation index with changes in the decision variable. Among the three schemes, Scheme 2 is the best choice with a value of 0.0355 under variable weight evaluation due to punishment and incentives in the variable weight method. The concept of “punishing” a disadvantageous indicator and “motivating” an advantageous indicator increases the relative advantages of the indices, ultimately affecting the assessment results of schemes and leading to a more balanced state. This study provides reasonable analysis and decision-making mechanisms to support decision-making and guide the scientific selection of a construction scheme.

Design of an Effective Evaluation System for English Fragmented Learning Based on Mobile Information Environment

In recent years, the fragmented learning mode of college English is the product of the integration of English teaching reform and information technology. Because of the mobile information environment, how knowledge is presented and distributed has altered significantly. As research on current college students continues to expand, the concept of fragmented learning is being utilized more and more frequently. Fragmented learning is defined as having features of fragmentation in time, space, content, and method of learning. Although fragmented learning makes it easier for college students to study, besides it also has several drawbacks, such as fragmented knowledge being scattered, no structure is developed, fragmented content being jumbled, and fragmented learning being flashy and merely a formality. To overcome these issues, this research work examines the evaluation system for the fragmented learning effect. In addition, it studies the effect evaluation of fragmented English learning in the mobile information environment and uses the integrated BPNN and genetic algorithm to evaluate the effect of fragmented English learning. The results show that this method has a strong effect on the evaluation of fragmented English learning in colleges and universities.

Credit Risk Assessment Modeling Method Based on Fuzzy Integral and SVM

With the development of financial globalization and financial market volatility, credit risk has become more prominent and serious, and how to establish an effective enterprise credit evaluation system and bank credit risk evaluation model, provide scientific quantitative decision-making basis for bank decision-making, reduce non-performing loans, and improve the quality of credit assets is a common research topic faced by domestic banks. At present, domestic banks have not been effective to establish risk prevention as the core of credit culture and long-term mechanism, the existence of nonperforming loans is still not fully resolved, new risks continue to appear, and there is a lack of a perfect and effective credit risk evaluation system. With the development of the Internet and financial institutions and the fusion, banks and financial institutions drastically increase the recorded data, and this provides a good prerequisite for the application of intelligent algorithms. In view of the shortcomings of BP neural network in the establishment of credit risk assessment model, such as poor promotion ability and long prediction time, and considering that support vector machine (SVM) can deal with some multi-classification problems, this paper introduces SVM method into the field of bank credit risk assessment and establishes an optimization model of credit risk assessment. This paper discusses the structure and algorithm principle of SVM classification method and proposes an integrated SVM based on fuzzy integral to solve this kind of problem. The results show that the algorithm can effectively improve the prediction accuracy, solve the problem of high computation cost, reduce the occupied memory space, improve the operation efficiency, shorten the training time, and provide a more reliable basis for the rapid and effective evaluation of bank credit risk. On the one hand, the research results expand the application of artificial intelligence technology in the field of economic research; the evaluation model can continuously and accurately measure credit risk is obtained, which provides the necessary basis for upgrading and optimizing credit decision-making, so it has high theoretical value and practical value.

Субъективное благополучие воспитанников как критерий оценки эффективности Детских центров (на примере ВДЦ «Океан»)

There is a problem in evaluating improvements in education effectiveness that is related to the selection of appropriate, clear assessment criteria and methods for measuring the results of the educational process. This article discusses the possibility of using the students’ subjective well-being as a criterion for internal evaluation of the educational system effectiveness in a children's center. It describes indicators of subjective well-being and methods for studying them. The process was tested at the All-Russian Children’s Center “Ocean” in 2019. Two cohorts participated in the study: ‘Parus’ (92 people aged 13 to 17 years, average age 14.7 years) and ‘Brigantine’ (74 people aged 11 to 17 years, average age 15.2 years) - a total of 168 people. To study the cognitive component of well-being, the level of satisfaction among students in "Ocean," and the opportunity to realize their needs in this children’s center were assessed. The study used a modified methodology of international index of personal well-being, a modified version of the techniques ‘Level of correlation values and accessibility in various spheres of life’ developed by E. B Fantalova. To assess the emotional component of pupils’ well-being, their prevailing emotional background was studied using a modified version of the questionnaire ‘Feelings in school’ developed by T. N. Klyuyeva). The subjective well-being indicators in specific aspects of the children's center life were analyzed, both for the center as a whole and separately for the cohorts. This analysis made it possible to assess the possibilities of fulfilling different children’s needs in the Centre, the number of areas where there was an internal conflict (due to insufficient subjective availability of value) and an internal vacuum (due to excessive presence of low-value phenomena in the child’s life). An integral indicator of misalignment was taken into account, showing the degree of internal dissatisfaction and the obstacles to basic life needs.

Exploration and Reform of Ideological and Political Teaching in Western Economics Courses Under the Background of New Liberal Arts

The construction of new liberal arts arises at the historic moment under the background of higher education reform 
 and new engineering construction. Promoting the development of liberal arts higher education is an important measure to adjust 
 the structure of higher education reform and promote the overall development of higher education. Under the background of the 
 construction of new liberal arts, it is of great reform and practical significance to promote the reform of the ways and methods 
 of cultivating talents in economics. The theoretical course of western economics specialty is the basic theoretical course in the 
 training program of economics specialty, and the exploration of ideological and political teaching of western economics curriculum 
 is of great educational significance for cultivating economic talents. By the theory of microeconomics and macroeconomics 
 course of ideological elements of digging, redesign the corresponding teaching content, innovative use of teaching methods and 
 teaching methods, reform the teaching effect evaluation system and methods, combination of western economics teaching and the 
 present ideological content, so as to achieve the unification of the theory and practice, The integration and synergy of professional 
 curriculum education and ideological and political theory system and human effect.

Spatiotemporal Patterns of Cultivated Land Quality Integrated with Multi-Source Remote Sensing: A Case Study of Guangzhou, China

Scientifically revealing the spatiotemporal patterns of cultivated land quality (CLQ) is crucial for increasing food production and achieving United Nations Sustainable Development Goal (SDG) 2: Zero Hunger. Although studies on the evaluation of CLQ have been conducted, an effective evaluation system that is suitable for the macro-regional scale has not yet been developed. In this study, we first defined the CLQ from four aspects: soil fertility, natural conditions, construction level, and cultivated land productivity. Then, eight indicators were selected by integrating multi-source remote sensing data to create a new CLQ evaluation system. We assessed the spatiotemporal patterns of CLQ in Guangzhou, China, from 2010 to 2018. In addition, we identified the main factors affecting the improvement of CLQ. The results showed that the CLQ continuously improved in Guangzhou from 2010 to 2018. The area of high-quality cultivated land increased by 13.7%, which was mainly distributed in the traditional agricultural areas in the northern and eastern regions of Guangzhou. The areas of medium- and low-quality cultivated land decreased by 8.1% and 5.6%, respectively, which were scattered throughout the whole study area. The soil fertility and high productivity capacity were the main obstacle factors that affected the improvement of CLQ. Simultaneously, the obstacle degree of stable productivity capacity gradually increased during the study period. Therefore, the targeted improvement measures could be put forward by applying biofertilizers, strengthening crop management and constructing well-facilitated farmland. The new CLQ evaluation system we proposed is particularly practical at the macro-regional scale, and the results provided targeted guidance for decision makers to improve CLQ and promote food security.

Multi-dimensional evaluation of power market based on multiple attribute decision making

Power market evaluation can reflect the problems in market construction and operation, which is of great significance to the healthy development of power market and the improvement of market rules. Nowadays, several countries are still in the progress of power market liberalization, and an effective power market evaluation system has not been established. In this paper, a hierarchical evaluation system of power market is established according to the construction situation of the developing power markets, which includes market competition level, market operation level, market development level, market opening level and market efficiency level. Then, the Delphi method and the entropy method are used to comprehensively weight the index based on the multiple attribute decision-making theory, and radar charts are used to evaluate the power market. By using the proposed evaluation index and method, the operation condition of a provincial power market in China is analyzed.

Effect Evaluation of Biomedical Experiment Teaching Based on Intelligent Sensor

With the continuous development and progress of nanotechnology, its biosensors have been widely used in biomedical experimental teaching, and good experimental results have been achieved. Graphene, as a new nanomaterial with large surface area, good thermal conductivity, and unique electrical conductivity, has unique advantages in the field of biosensor preparation. Based on this, this paper will prepare the electrochemical sensor applied to biomedical experimental teaching based on graphene, optimize the detection sensitivity and detection range of graphene electrochemical sensor based on the corresponding experimental conditions, and improve its corresponding stability and reusability. At the level of electrochemical activity of biosensors, this paper innovatively uses the electric AC impedance method to detect the electrochemical activity, so as to accurately evaluate the key characteristics of biosensors. Based on the preparation of biosensors and the results of biological experiments, this paper will design a network-based biomedical experiment teaching effect evaluation system, and realize the basic functions of teacher-student interaction, teaching effect evaluation, sensor performance evaluation and so on. Based on the above, the electrochemical sensor based on graphene and a conductive polymer solution is actually prepared in this paper. At the same time, the electrocatalysis experiment is carried out based on the sensor, and the experimental teaching effect is systematically evaluated. The experimental results show that the sensitivity of the biosensor proposed in this paper is increased by about 10% compared with the traditional biosensor, the corresponding preparation complexity is reduced by nearly 1/3, and the corresponding reusability is increased by 30%. Therefore, the biomedical experiment teaching effect evaluation system proposed in this paper has good evaluation effect. It can provide accurate reference for the evaluation of biological experiment teaching effect, so it has important value and significance.

Establishment of quality evaluation method for frozen tilapia ( Oreochromis niloticus ) fillets stored at different temperatures based on fractal dimension

To explore an effective quality evaluation system based on microstructure changes, tilapia samples were preserved at the temperature of −20, −40, and −80°C up to a storage period of 270 days. The porous structure of fish muscle was quantified using the cross-section area (CA) and fractal dimension (FD) of ice crystals, and the effectiveness of the two was compared. The relationships between microstructure changes and traditional quality parameters, including water-holding capacity, texture properties, K value, and total volatile basic nitrogen (TVB-N), were also explored. The results showed that FD dropped by 8.79, 4.53, and 3.03% of fillets at −20, −40, and −80°C after 270 days of storage, respectively. The better fitting on the basis of FD for evaluating quality of tilapia compared with CA. Traditional quality indicators were correlated well with the FD (R2 > 0.94), except for relaxation time (T2). The first-order kinetic equation FD = exp (0.0895 t exp[−7240.26/RT])/1.8903 was developed, and FD relative errors between predicted and observed values were all less than 3%, which demonstrated that the feasibleness and accuracy of quality evaluation based on FD during frozen storage. Practical applications Frozen storage inevitably has a negative impact on the tissue, water-holding capacity, and protein properties of fish. Thus, it is of great urgency to put forward an effective quality evaluation system of frozen fish. Here, tilapia samples were studied over a period of 270 days by measuring their microstructure of muscle fibers and traditional quality parameters. Correlation analysis of each index was also conducted and kinetic model based on FD was established and validated finally. In addition to establishing an effective quality evaluation system based on microstructure changes for tilapia, these results will provide new insights into the quality evaluation and laid a foundation for the application of fractal dimension in tilapia processing and transportation.

Teaching Effect Evaluation System of Ideological and Political Teaching Based on Supervised Learning

University students face immense challenges in current situations in ideological and political research. Therefore, the way ideological work constantly needs to be adapted, and the exchange of advanced experience strengthened to increase ideological and political education (IPE) in universities. Specific methods of university administration may include only ideological and political courses. Courses information and student grades did not conduct an ideological or political evaluation of the student. They assessed the psychological behaviors of the student based on their success, nor did them include clear information on the course schedule for specific ideological and political courses. This article, Supervised learning-based teaching evaluation approach (SL-TEA), has been proposed to focus on supervised learning from ideas about machine learning technology and the current IPE status, to be developed using a brief analysis procedure. Supervised learning uses a practice set to provide the necessary quality through teaching models. Inputs and correct outputs that allow the model to learn over time are part of this training data. The study uses the system of experts to manage, operate and monitor model evaluation data and create a related database for a real-time update. Besides, to check the impact of the model and to run simulation tests. This study SL-TEA model follows the real needs of the system that the ideological and political teaching content of colleges and colleges can be evaluated. Thus, the experimental results show the better performance through the highest student accuracy ratio of 97.1 %, a high-performance ratio of 94.3%, improved political thinking rate of 92.8%, improved actual positive rate of 90.2%, the false-positive rate of 92.2%, enhance learning rate of 96.6% and reduce the error rate 21.2%, compared to other methods.

Airspace Operation Effectiveness Evaluation Based on q-Rung Orthopair Probabilistic Hesitant Fuzzy GRA and TOPSIS

In order to improve the ability of airspace management, a multi-attribute decision-making tool based on q-rung orthopair probability hesitant fuzzy GRA-TOPSIS is proposed to solve the problem of airspace operation effectiveness evaluation; this is in view of the fact that there are few airspace operation effectiveness evaluation methods in general aviation airports. Firstly, taking general aviation airports as the research object, a complete airspace operation effectiveness evaluation system is newly established, its evaluation indicators are introduced, and its multi-attribute decision-making ideas are explained. Then, based on the q-rung orthopair probability hesitant fuzzy set, a new distance measure and information aggregation operator are defined, which can better deal with symmetry information. Secondly, we build a deviation maximization model to calculate the attribute weights of indicator elements in the decision-making process. Then, we combine the GRA method and TOPSIS method to rank the airspace operation effectiveness evaluation schemes. Finally, combined with calculation examples and comparative analysis, the reliability and rationality of the method proposed in this paper are verified, and the symmetry relationship between the evaluation results and the actual situation is better reflected. Experiments show that the method proposed in this paper can obtain more accurate airspace operation effectiveness evaluation results, and can provide reference for related research.

Construction of a competition practice system for robotics engineering based on a competency model

AbstractCompetition practice is of great significance for improving the engineering ability of undergraduates majoring in robotics engineering, and it occupies an important position in practical teaching systems. However, most existing competitions are spontaneously participated by students, and problems, such as poor systemicity, unclear ability‐training goals, and lack of an effective evaluation system, occur, resulting in limited improvement in students' ability. In this paper, a competency model for robotics engineering was proposed. It includes four dimensions: knowledge, skills, dispositions, and evaluation. The first three dimensions comprise multiple secondary and tertiary indices. On this basis, a competition practice system was established. The system includes four practical course groups and a final competition, and the competency model runs through before, during, and after practice. The competition practice system based on the competency model was applied to two groups of students. The analysis results show that students have a clear understanding of their own ability, and their comprehensive ability has been improved. This finding provides a reference for the construction of practice systems for other engineering majors.

Assessment of Monitoring and Evaluation of Capital Projects in Hadiya Zone, South Ethiopia

This study was conducted to assess the factors affecting monitoring and evaluation of capital projects in selected woredas of Hadiya Zone, south Ethiopia. The main sources of data were both primary and secondary sources of data. Primary data were collected through questionnaires administered to the selected respondents and interview. The sampling technique employed for this research was purposive sampling to select sample Woredas. The binary logistic regression analysis was used by applying stata 14 software. Results of the study revealed that there is a positive and significant relationship between effective monitoring and evaluation of governmental capital project and availability of budget. Regression analysis revealed that a unit change in availability of budget increased evaluation of capital projects in government organization 1.409 units. Correlation analysis showed that there was a positive and significant relationship between stakeholder participations and evaluation of capital projects in government organization. Regression analysis revealed that a unit change in stakeholder participations increases effectiveness of evaluation of capital projects by 1.192 units. The study revealed that there was a positive and significant relationship between selection tools and techniques or methods and evaluation of capital projects. Regression analysis showed that a unit change in selection tools and techniques/methods increased monitoring and evaluation of capital projects by 2.721 units. Regression analysis showed that a unit change in skill level of experts increased effectiveness of monitoring and evaluation of capital projects by 2.688 units. The skill level of experts significantly affects the capital projects performance of monitoring and evaluation system. The planning, monitoring and evaluation core work process of governmental organization’s capital projects in each sector should employ experienced and skilled human power so that they can put in place effective monitoring and evaluation system.

Evaluation of Safety Management System Effectiveness in a Liquefied Natural Gas Company

This study was aimed at evaluating the effectiveness of safety management system (SMS) in a liquefied natural gas company. A 5-point Likert questionnaire ranging from “strongly disagree to strongly agree” questions was used to evaluate workers’ perception of the implication of safety management system in the organisation. The OHSAS 18001 internal audit checklist was also used to measure the level of compliance with the requirements of the SMS. Secondary data was obtained from document and safety report of the case study. The data was collated and subjected to descriptive statistics, t-test and row and column contingency (R & C) table to evaluate the relationship between safety performance and compliance. For compliance to SMS: General requirements, 91%; Health and Safety Policy, 95%; Planning, 93%, Implementation and Operation, 98%; Audit, 98%; and Management Review, 93%. The overall average level of compliance was 95%. 100 respondents participated in the questionnaire, 64 males and 36 females; 68 technical personnel and 32 nontechnical respondents. Descriptive analysis of employees’ perception resulted in: Safety satisfaction and feedback, 4.113; Training and competence, 4.182; Safety reporting and investigation, 4.212; Work Duties/Pressure, 3.989; Management commitment, 4.098; Safety communication, 4.171; and Emergency response and planning, 4.126. t-test indicated that there was no significant difference in perception between males and females, and the perception of technical and non-technical employees with p > 0.05. R & C contingency table was used to evaluate the relationship between safety performance and safety compliance. The result showed that there was a significant difference between safety compliance and safety performance since . Therefore, safety management system will continuously improve safety performance. Hence, the effectiveness of safety management system cannot be overemphasized. The practice of health and safety has evolved over time, as a matter of common sense in several industries. However, this study opines that the implementation of safety management system requirements is instrumental to a sustainable continuous improvement in safety performance. The study, therefore, encourages organisation to consider the safety management system certification.

Credit Risk Measurement, Decision Analysis, Transformation and Upgrading for Financial Big Data

There is no well‐built theory on credit risk measurement and decision analysis for financial big data, and an effective and scientific evaluation system for them has not been formed. A review of them can contribute to grasping the abovementioned topics, understanding current issues, analyzing research problems, mastering research challenges, and predicting future research directions. Besides, this paper points out four research directions of credit risk measurement and decision analysis for financial big data. Moreover, this paper can provide some guidance directions and insights for practitioners, researchers, financial institutions, and government departments who have an interest in complex decision‐making in big data.

Method of spatiotemporally monitoring acoustic cavitation based on radio frequency signal entropy analysis

The violent inertial cavitation effect generated during high intensity focused ultrasound (HIFU) treatment may damage healthy tissues around the target area. Therefore, it is urgent to develop new technical approaches that can quantitatively monitor the acoustic cavitation motions in biological tissues with high precision in space and time, so as to ensure clinical safety and effectiveness. Compared with the traditional commercial ultrasonic gray value signal, the ultrasonic radio frequency (RF) signal can well retain more detailed information about the acoustic scattering signal. As a statistical parameter not based on mathematical function model, the information entropy can characterize the spatiotemporal evolution state of disorder of scatters inside tissues resulting from acoustic cavitation. Therefore, this paper proposes a real-time monitoring system for spatiotemporal evolution of acoustic cavitation based on the entropy analysis of ultrasonic RF signals. First, the original RF signal of scattered echoes generated by HIFU-induced cavitation bubbles inside the gel phantom is obtained by using a modified B-ultrasound system, and the two-dimensional mean filtering method is used to suppress the HIFU-induced strong interferences overlapping with cavitation monitoring imaging signals. Then, the dynamic variation range of the RF signal is expanded through data standardization processing, and the entropy image is reconstructed based on the sliding window information entropy analysis to demonstrate the spatiotemporal evolution status of the HIFU-induced cavitation behanviors. The experimental results indicate that the acoustic cavitation imaging algorithm based on RF signal entropy analysis should be more sensitive and accurate than the B-model gray scale imaging method for determining the onset time and spatial position of cavitation activities, which is helpful in ensuring the safety and efficacy of HIFU clinical treatment. Thepresent work will provide a useful tool for the spatiotemporal monitoring of the acoustic cavitation generated in tissues during HIFU treatment, and lays a solid theoretical and experimental foundation to establish an effective quantity-effect evaluation system for the cavitation related biological effect.

Enterprise Working Capital Management by BP Neural Network under the Background of the Internet

Today, with the rapid development of the Internet, the way of enterprise development has become more and more diversified. The development of the Internet not only brings opportunities for enterprise development but also certain risks. In order to deal with the uncertain risks in the future development of the enterprise, aiming at the operation and capital management problems of the enterprise, this study creates a scientific and effective performance evaluation system that conforms to the law of enterprise development to guide the enterprise's capital management problems in the operation process. This system can enable enterprises to improve economic efficiency and achieve sound development in the context of the Internet economy. This study sorts out the relevant theories of enterprise capital management and performance evaluation and refers to the existing performance evaluation system by analyzing the influencing factors of enterprise operation performance. The key factors of performance evaluation in the process of enterprise operation are extracted and processed by dimensionless normalization of sample data. The Pearson correlation test is used to eliminate data indicators with high correlation, and a model of enterprise operation performance evaluation based on the Back Propagation Neural Network (BPNN) is constructed. Valid panel data of some companies in 2015-2016 are selected. The constructed BPNN model is verified for feasibility. The results show that the constructed BPNN model has wide applicability and can be an effective tool for enterprise operation performance evaluation.

A Review of the Mathematical Evaluation Model of Contribution Rate of Weapon Equipment System

The research of system contribution rate assessment method is of great significance to the support design and project demonstration of equipment.In order to summarize the methods and ideas of system contribution rate and the future development direction, this paper starts from the three aspects of complex system and system, contribution rate and system contribution rate, and makes an in-depth analysis of the concept and connotation of system contribution rate and combs out the research ideas. It mainly summarizes the application of evidence theory, grey theory, battle ring, TOPSIS, Monte Carlo and other methods from five aspects of equipment system capability evaluation, equipment system effectiveness evaluation, equipment energy efficiency comprehensive evaluation, equipment system structure evaluation, and equipment efficiency and cost ratio evaluation. It also points out the problems to be solved in the current research and the future research direction from three aspects of evaluation object, evaluation method and evaluation result.