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This research aims to establish an index system and a grey comprehensive evaluation model for analyzing the sustainability of urban tourism.

The sustainability evaluation of urban tourism is regarded as a multi-level and multi-index evaluation problem in this study. The evaluation index system of urban tourism sustainable development is constructed based on the ideas of holism and systems thinking. Then based on grey system correlation analysis theory, a new evaluation model is proposed to effectively solve the complex and uncertain problems in the sustainability evaluation system of urban tourism. An actual example of the five cities (Nanjing, Zhenjiang, Changzhou, Wuxi and Suzhou) in Southern Jiangsu Province of China is adopted to demonstrate the feasibility and practicability of the proposed model.

The grey comprehensive evaluation model can effectively convert the complex indices into comprehensive optimal membership degrees which are easy to be understood. The empirical study on the urban tourism sustainable development of South of Jiangsu found that: Suzhou, Nanjing and Wuxi were in the basic stage of sustainable development; Changzhou and Zhenjiang were in the preliminary stage of sustainable development. The social responsibility fulfillment of urban tourism in five cities fails to reach a satisfactory level, especially Zhenjiang and Changzhou remain in a low level in fulfillment of social responsibility.

Due to the difficulty of data collection, the authors can only use the data on 2010 to do a static evaluation in this study. If the authors can have more data on different years, it is feasible to develop a dynamic evaluation model to analyze the evolution law of the sustainability of urban tourism.

The evaluation results provide the necessary support to assist the tourism management departments of the five cities with their policy making.

This study not only supplements the evaluation modelling methods widely used in the area of tourism management, but also promotes the development of the grey systems theory itself.

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.

In recent years, the quality and environment of global corporate governance have drawn attention from researchers and practitioners. Based on the public information of Chinese listed companies (CLCs), the Evaluation Research Group of China Academy of Corporate Governance at Nankai University developed the first corporate governance index system that includes six dimensions to evaluate the status of the governance of CLCs.

This paper reports the findings of the annual evaluation in 2017.

The authors found that five of the six dimensions of CLC governance index increased, except for shareholder governance index. Management-level governance and information disclosure index increased most significantly.

Through the evaluation, the authors discovered some governance problems of CLCs and proposed some corresponding suggestions to improve the effectiveness of corporate governance of these companies.

The purpose of this paper is to construct a novel grey incidence evaluation model to investigate a scientific and effective evaluation system of regional road traffic safety.

To provide a method for the evaluation of regional road traffic safety, the grey incidence feature vector method is employed to construct the evaluation index system for regional road traffic safety and then the index weights are calculated with Shannon entropy method. In this paper, the grey incidence feature vector method and grey incidence analysis are utilised to construct evaluation index systems for regional road traffic safety and determine the index weights. Then a grey incidence-ideal point method is used to establish a novel evaluation model for regional road traffic safety. To thoroughly investigate the road traffic safety in one region, the data of 13 cities in Jiangsu province is gathered, using the grey clustering and grey incidence-ideal point method to obtain the ranking results of the 13 cities.

The results provide a basic analysis of the present situation and show the differences for these regions based on the proposed model, according to which several solutions are proposed, aiming to improve regional road traffic safety situation.

The method exposed in the paper can be used to deal with the problems of the evaluation of regional road traffic safety.

The paper succeeds in understanding the status quo and implementing effective road traffic safety management based on the proposed model.

College badminton gymnasium is an important place where students take physical exercise. Student satisfaction index for badminton gymnasium is an important factor which influences the design of badminton gymnasium. To improve the design and construction level of college badminton gymnasium, student satisfaction index evaluation system for the design of college badminton gymnasium was constructed, and empirical study of the system was carried out. Delphi method was applied to screen evaluation indicators, and analytical hierarchy process (AHP) was used to confirm the weight of evaluation indicators. Finally, student satisfaction index evaluation system for the design of college badminton gymnasium was constructed, including 3 first-level indicators (external form design, internal layout design and application function design) and 12 second-level indicators. Hunan University of Finance and Economics was taken for example to demonstrate student satisfaction index evaluation system for the design of college badminton gymnasium. Besides, comprehensive evaluation score of the badminton gymnasium was gained. The student satisfaction index evaluation system is an effective tool to evaluate the design of college badminton gymnasium. During the design of college badminton gymnasium in China, the application function and internal layout should mainly be taken into account.

This study aimed to analyze existing problems in the dissemination and management of emergency information on social media platforms, improve social media users' experience regarding such information, increase the efficiency of emergency information dissemination and curb the spread of misinformation.

In this study, the emergency information quality on social media platforms was examined. Based on the evaluation principles of the quality of mature information, social media information characteristics and the rules of emergency information dissemination, combined with relevant academic research results, an index to evaluate the quality of emergency information on social media was constructed. In addition, the authors have introduced cloud theory as an information quality evaluation method and used social media users' emotional characteristics to assess information quality evaluation results. A comprehensive system for evaluating emergency information quality, including indexes, methods and detection strategies was established. Based on a comprehensive system, a case study was conducted on the forest fires in Sichuan Province and the African swine fever events as reported on the Zhihu platform. In accordance with the results of the case study, the authors expanded the research and introduced the emotional characteristics of social media users as an independent evaluation dimension to evaluate the quality of emergency information on social media.

The comprehensive system's effectiveness was verified through the case study. Further, it was found that users' emotional characteristics (reflected in their information behavior) are inconsistent with their evaluation of websites' information quality regarding major emergencies. Integrating users' emotional characteristics into the information evaluation system can enhance its effectiveness following major emergencies.

First, an evaluation index system of emergency information quality on social media about major emergencies was offered. Unlike the commonly available index system for information quality evaluation, this proposed evaluation index system not only accounted for the characteristics of social media, such as massive disordered information, multiple information sources and rapid dissemination, but also for the characteristics of emergency events, such as variability and the absence of precursors. This proposed evaluation index system enhances the pertinence of the information quality evaluation and compensates for the shortcoming that the current research only focuses on evaluating social media information quality in a broad context, but pays insufficient attention to major emergencies. Second, cloud theory was introduced as a method to evaluate the emergency information quality found on social media. Existing research has primarily included the use of traditional statistical methods, which cannot transform numerical values into qualitative concepts effectively. Various indeterminate factors inevitably affect the quality of emergency information on social media platforms, and the traditional methods cannot eliminate this uncertainty in the evaluation process. The method to assess emergency information quality based on cloud theory can effectively compensate for the gaps in the research and improve the accuracy of information quality assessment. Third, the inspection and the dynamic adjustment of assessment results are absent in the research on information quality assessment, and the research has relied principally on the information users' evaluation and has paid insufficient attention to their attitudes and behaviors toward information. Therefore, the authors incorporated users' emotional characteristics into the evaluation of emergency information quality on social media and used them to test the evaluation results so that the results of the information quality assessment not only include the users' explicit attitudes but also their implicit attitudes. This enhances the effectiveness of the information quality assessment system. Finally, through this case study, it was found that an inconsistency exists between user evaluation and user emotional characteristics after major emergencies. The reasons for this phenomenon were explained, and the necessity of integrating user emotional characteristics into information quality assessment was demonstrated. Based on this, the users' emotional characteristics were used as a separate evaluation dimension for assessing the quality of emergency information on social media. Compared with assessing the quality of general information, integrating the user's emotional characteristics into the evaluation index system can lead the evaluation results to include not only the users' cognitive evaluation but also their emotional experience, further enhancing their adaptability.

Due to consumption changes in the post-pandemic era, the production safety of agricultural products is affecting global consumers. This paper constructs an evaluation index of the agricultural Internet of things (IOT) traceability system and evaluates it using the dynamic hesitant-fuzzy linguistic term sets (HFLTS)-based DEMATEL method to improve agricultural supply-chain links and improve production quality.

The agricultural IOT traceability index system is constructed using the literature and expert interviews; it comprises 6 first-level indices and 20 second-level indices. The agricultural IOT traceability system is evaluated using the dynamic HFLTS-DEMATEL method.

Producers' awareness of agricultural-production safety (A11) has the most significant impact on production and processing links, while warehouse location and storage capacity (A31) have the largest impact on the circulation link. Inspection authenticity and transparency and quarantine information (A41) have the largest impact on the detection-consumption link. The extent to which the traceability-platform construction is complete (A62) has the largest impact on technical support.

The present paper may be limited to the era of post-pandemic, and it is hard to consider all the indices. Further research can broaden the research context and establish a more comprehensive index system.

The index system constructed in this study will surely help relevant regulatory authorities in China to promote the construction of agricultural IOT traceability system and establish a unified standard, so as to provide a basis for future developers to enter the field. Accordingly, it also can help every subject to identify the key indices of each process in the agricultural-product supply chain and guide relevant departments to conduct targeted information tracking and management. The consumers could also understand the standards of traceable agricultural products and effectively protect their own rights and interests.

The existing literature does not provide an objective, unified standard for measuring a decentralized traceability system or identifying key processes. This study therefore proposes a new evaluation index system and uses a dynamic evaluation method to determine the importance of key indices. This study identifies the most important indices in each process, making it possible to discover, improve, and enhance the quality of agricultural products at a practical level.

Taking the discipline construction in colleges and universities as the application background, based on the research on data mining technology and decision support system technology, the data generated by university management information system are effectively utilized. The paper aims to discuss these issues.

Based on the Beijing Key Discipline Information Platform as the data source, the decision tree algorithm of data mining is studied. On the basis of decision tree C4.5, the Bayesian theory is applied to the post-pruning operation of the decision tree.

A decision tree post-pruning algorithm based on the Bayesian theory is studied and put forward in order to simplify the decision tree, which improves the generalization ability of the whole algorithm. Finally, the algorithm is used to build the prediction model of key disciplines. Combined with the decision support system architecture, data warehouse and the data mining algorithm constructed by university discipline, based on J2EE standard enterprise system specification, MVC model is applied. Moreover, a prototype system of decision support system for discipline construction in colleges and universities with browser/server (B/S) structure is completed and implemented.

A decision tree post-pruning algorithm based on the Bayesian theory is studied and put forward in order to simplify the decision tree, which improves the generalization ability of the whole algorithm. Finally, the algorithm is used to build the prediction model of key disciplines. Combined with the decision support system architecture, data warehouse and the data mining algorithm constructed by university discipline, based on J2EE standard enterprise system specification, MVC model is applied. Moreover, a prototype system of decision support system for discipline construction in colleges and universities with B/S structure is completed and implemented.

This paper improves the evaluation index system of green building operation effect and establishes the evaluation model of green building operation effect. It is expected to promote energy saving and emission reduction and provide a more scientific evaluation method for green building operation effect evaluation.

First, 20 key evaluation indexes are selected to establish the operation effective evaluation index system. Then, the combined weight method is proposed to determine the weight of each evaluation index. Next, the gray clustering-fuzzy comprehensive evaluation method is used to construct the green building operation effective evaluation model. Finally, the feasibility and validity of the selected model were verified by taking Shenzhen Bay One green building in Shenzhen as an example.

This paper establishes the evaluation system of green building operational effect, and evaluates green building from the angle of operational effect. Taking Shenzhen Bay One project as an example, the rationality and applicability of the model are verified.

In this paper, for the first time, relevant indexes of user experience are included in the evaluation system of green building operational effect, which makes the evaluation system more perfect. In addition, a more scientific fuzzy gray clustering method is used to evaluate the operational effect of green building, and a new evaluation model is established.

The purpose of this paper is to propose a method for assessing the lean construction management performance (LCMP) of engineering projects using the analytic network process-fuzzy comprehensive evaluation (ANP-FCE) model.

Literature review and questionnaire surveys were used to achieve an evaluation index system for LCMP. The data needed to calculate the weights of the indices were derived from questionnaire surveys. The ANP and the Super Decisions (SD) software were used to calculate the weights of the indices and verify the validity of the weights. The FCE was adopted to carry out a comprehensive evaluation of LCMP, and the validity of the evaluation results was verified by applying the validity degree of maximum membership principle. The applicability of the method for evaluating LCMP was validated by empirical research.

The proposed method for assessing the LCMP using the ANP-FCE model is validated to be feasible. Decision makers can easily identify the strengths and weaknesses of lean construction (LC) management of the evaluated project from the evaluation results.

Some subjectivity may exist in the assessment process due to questionnaire surveys, and only one case has been studied to validate the applicability of the method. Therefore, researchers are encouraged to increase the number of LC experts and cases over the world to make the proposed method more standard.

The research is expected to propose an assessment method of LCMP for construction enterprises, provide a reference to develop assessment standards for LCMP for building associations or governments and help decision makers know the improving path of LC management.

This research contributes to the literature by summarizing the commonly used lean management tools for quality, cost, time, safety and organization in practice, and proposing a novel approach for assessing the LCMP of engineering projects. The study is useful for researchers, project managers and decision makers engaged in LC.