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The development of rural preschool education (RPE) is not only related to the healthy growth of rural preschool children, but also to social fairness and sustainable development. Therefore, the development of RPE not only involves the expansion of quantity, but also the improvement of its quality. At present, in China's RPE, the determination of value goals There are still many obstacles in terms of source supply, institutional mechanism construction, development mode selection, and external environment construction, which make the high-quality development of RPE lack good internal motivation and external support. In view of this situation, some researchers have begun to explore the high-quality and sustainable development of RPE differently. However, the high-quality development of RPE is a systematic reform project that needs to start from the present. From multiple perspectives such as reality and history, internal and external education, this paper examines the systematic and global nature of RPE reform and development. The development level evaluation of RPE is a MADM. In this paper, the generalized weighted Bonferroni mean (GWBM) decision operator and power average (PA) is designed to manage the MADM under single-valued neutrosophic sets (SVNSs). Then, the generalized single-valued neutrosophic number power WBM (GSVNNPWBM) decision operator is constructed and the MADM model are constructed based on GSVNNPWBM decision operator. Finally, a decision example for development level evaluation of RPE and some useful comparative studies were constructed to verify the GSVNNPWBM decision operator. [ABSTRACT FROM AUTHOR]

With the acceleration of urbanization and the significant improvement of people's living standards, the motorization of urban transportation in China has developed rapidly, and the number of urban motor vehicles has sharply increased. This has also caused a series of problems such as increasingly severe urban road traffic congestion, increased traffic energy consumption, and atmospheric environmental pollution. Unprecedented social and environmental pressures have put forward higher requirements for the development model of urban transportation. Against the backdrop of increasingly severe conflicts between urban transportation and resource environment in China, green transportation with the goal of "meeting maximum demand with minimum consumption" has gradually received widespread attention from the academic community. The urban green transportation development level evaluation is a classical multiple attribute decision making (MADM). In this paper, we define the triangular Pythagorean fuzzy sets (TPFSs) and investigate the MADM problems under TPFSs. Based on the traditional geometric BM (GBM) operator and generalized weighted GBM (GWGBM) operator, some triangular Pythagorean fuzzy operators are proposed: triangular Pythagorean fuzzy generalized GBM (TPFGGBM) operator and triangular Pythagorean fuzzy generalized WGBM (TPFGWGBM) operator. Accordingly, we have took advantage of these operators to develop some approaches to work out the triangular Pythagorean fuzzy MADM. Ultimately, a practical example for urban green transportation development level evaluation is took advantage of to validate the developed approach, and an influence analysis of the parameter on the final results is been presented to attest its availability and validity. [ABSTRACT FROM AUTHOR]

Universities are important talent training bases in China and the main driving force for achieving the strategic layout of "revitalizing the country through science and education" and "strengthening the country through talent". Oil painting is a global art with rich humanistic and artistic value. Most art colleges in China have set up oil painting courses. Analyze the current situation and value of oil painting course teaching in local art (teacher training) majors, and leverage the educational role of oil painting courses by enriching course offerings, emphasizing the integration of humanistic innovation, improving teacher literacy, and striving to further improve the quality and efficiency of oil painting course teaching. The quality evaluation of oil painting teaching in universities is viewed as multiple-attribute decision-making (MADM). The grey relational analysis (GRA) is a useful tool to cope with the MADM issue. The probabilistic simplified Neutrosophic set (PSNSs) is easy to characterize uncertain information during the quality evaluation of oil painting teaching in universities. In this paper, in order to obtain the weight information, an optimization model implemented to obtain a simple and exact formula which can be employed to derive the attribute weights values based on the Lagrange function and the probabilistic simplified neutrosophic number grey relational analysis (PSNN-GRA) technique is implemented for MADM to rank the alternatives. Finally, a numerical example for quality evaluation of oil painting teaching in universities is used to verify the practicability of the PSNN-GRA technique and compares it with other techniques. [ABSTRACT FROM AUTHOR]

How to guarantee the quality of college physical education (PE) teaching and reverse the declining trend of college students' physique year by year has become a hot topic for the research of higher education and school PE workers. The quality assurance of higher education in China should give full play to the role of colleges in teaching quality assurance activities, constantly improve the level of school running and improve the efficiency of school running. Because colleges themselves are the main body of higher education and teaching activities, they have the most power, qualification and responsibility to explain the quality of higher education. The classroom teaching quality (CTQ) evaluation of college badminton training is regarded as multi-attribute decision-making (MADM). The 2-tuple linguistic neutrosophic sets (2TLNSs) which the truth-membership, indeterminacy-membership and the falsity-membership are assessed by using the 2-tuple linguistic term sets is an appropriate form to express the indeterminate decision-making information in the classroom teaching quality (CTQ) evaluation of college badminton training. In this paper, the Hamy mean (HM) and the power average (PA) are connected with 2-tuple linguistic neutrosophic sets (2TLNSs) to propose the 2-tuple linguistic neutrosophic numbers weighted power HM (2TLNWPHM) operator. Then, use the 2TLNWPHM operator to handle MADM with 2TLNS. Finally, taking the CTQ evaluation of college badminton training as an example, the proposed method is explained. The main contributions of this study are summarized: the establishment of the 2TLNWPHM operator; (2) The 2TLNWPHM operator was developed to handle MADM with 2TLNS; (3) Through the empirical application of the CTQ evaluation of badminton training in universities, the proposed method is validated; (4) Some comparative studies have shown the rationality of the 2TLNWPHM operator. [ABSTRACT FROM AUTHOR]

Due to the increasingly strengthened role of finance in modern economic development, theoretical research on regional financial competitiveness in the study of regional economic competitiveness becomes very important. For China at this stage, finance is in a period of rapid development, and its role has penetrated into all aspects of social and economic life. Especially after China's entry into the WTO, the pace of opening up the financial market has been further accelerated, and comprehensive evaluation and analysis of financial competitiveness is of great significance for comprehensively understanding and accurately grasping China's national conditions, national strength, and international competitiveness, promoting the long-term growth of China's financial competitiveness, and the sustainable development of the financial industry. The competitiveness evaluation of regional financial centers is looked as the multiple attribute decision-making (MADM) problem. This paper intends to propose a MADM methodology based on CoCoSo (Combined Compromise Solution) method under interval-valued intuitionistic fuzzy sets (IVIFSs) for sustainable competitiveness evaluation of regional financial centers. At the end of this study, we noticed to a comparison between the proposed IVIF-CoCoSo approach with other existing methods to verify the effectiveness of the algorithm. [ABSTRACT FROM AUTHOR]

Business English teaching quality evaluation Business English is a new type of composite specialty, which is a discipline innovation made by China's higher education to adapt to the new market demand and international standards since the reform and opening up. Over the past 20 years, it has cultivated a number of compound talents for the cause of China's reform and opening up. However, the backwardness of business English theoretical research has greatly restricted the development of business English. At present, Business English has been officially approved as a new major for undergraduate enrollment by the Ministry of Education of the People's Republic of China. Its subject nature, specialty structure, training objectives, and specialty compound characteristics need to be qualitatively studied theoretically. The business English teaching quality evaluation is viewed as the multiple attribute decision making (MADM) issue. In this paper, we connect the geometric Heronian mean (GHM) operator and power geometric (PG) with 2-tuple linguistic neutrosophic numbers (2TLNNs) to propose the generalized 2-tuple linguistic neutrosophic power geometric HM (G2TLNPGHM) operator. Then, the G2TLNGHM operator is applied to deal with the MADM problems under 2TLNNs. Finally, an example for business English teaching quality evaluation is used to show the proposed methods. Some comparative analysis and parameter influence analysis are fully given. The results show that the built algorithms method is useful for business English teaching quality evaluation. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to explore how port enterprises can scientifically select a better logistic service provider (LSP) to achieve a high efficiency. An empirical study is conducted to verify the effectiveness of the combination weighting-grey synthetic decision-making method by helping the LSP selection of a port enterprise in China. Data are collected from questionnaires administered to port logistics' industry professionals. The method is proposed, which associates the analysis network process method with the entropy method to determine the combined weights of the evaluation indexes. The improved centre-point triangular whitenization weight function is introduced to cluster the alternative port LSPs and judge the corresponding grey classes. Subsequently, the synthetic weighted decision-making vectors are used to determine the grey synthetic decision-making coefficient vectors. The grey synthetic clustering decision-making coefficients are calculated to establish a synthetic decision-making rank of the alternative plans. The combined method can help the port enterprises realize the selection of better LSPs in a scientific manner. [ABSTRACT FROM AUTHOR]

With the implementation and steady progress of the Belt and Road (B&R) initiative, China's investment in countries along the B&R has maintained a high growth trend. Generally speaking, investment problems are often accompanied by high risk and uncertainty, and how to make the suitable investment decision is a difficult issue. This paper investigates an investment decision approach under the probabilistic hesitant fuzzy environment. Firstly, a new probabilistic hesitant fuzzy distance and correlation coefficient are defined to overcome the defects of the existing probabilistic hesitant fuzzy information measures. Secondly, an attribute weight integrated model is constructed by combining the maximum deviation method, the CRITIC method and the maximum entropy principle, which is able to take into account the correlation between attributes and make full use of the decision information. In addition, a disappointment theory-based probabilistic hesitant fuzzy multi-attribute decision making (PHFMADM) method is proposed to solve the investment decision problem, which can integrate the psychological behavior of decision makers into the decision making process and make the decision results more authentic and reliable. Finally, the rationality and validity of the method are verified by comparing with the existing methods. [ABSTRACT FROM AUTHOR]

China's tourism industry has made remarkable achievements since reframing and beginning, but the imbalanced expansion of regional tourism has become increasingly severe. This paper involves the analysis of combining index analysis and factor analysis and employs SPSS software to make a quantitative analysis on the differences and the contributory factors of the tourism economy in Yangtze River Delta in China from 2006 to 2016. The results have demonstrated that there exists an imbalance in the development of tourism economy in the Yangtze River Delta, and that there is a significant spatial difference with a yearly trend of decrease. Besides, a major gap lies among the comprehensive development level of tourism economy of the cities in the Yangtze River Delta. In this paper, Fuzzy analytic hierarchy process is used for making decision based analysis process for tourism economy. The comprehensive development level of tourism economy in Shanghai, Suzhou and Nanjing is much higher than that in other cities. Tourism resources endowment, tourism reception facilities and the development level of regional economy are important contributory factors of the regional differences of economy based on tourism in river delta of Yangtze, and there exists an extremely obvious positive correlation. [ABSTRACT FROM AUTHOR]

Public-Private Partnership (PPP) has been adopted extensively in public infrastructures in China. Numerous studies have explored development patterns for future PPP projects success based on either literature review or case studies. This paper aims to probe into the spatiotemporal dynamics of China's PPP and clarify regional differentiation by frequency analysis, coefficient of variation and cluster analysis. The result shows that the implementation rate has a slight increase along with time series although PPP projects gradually return to rational development. The fuzzy set is utilized to handle with ambiguity in some linguistic risk allocation criteria to lower the fuzziness and bias in knowledge expert which is qualitative that handles real time decision making. The municipal sector has been occupied the largest share of PPP projects while state-owned enterprises still dominate the biggest PPP marketed components. Local governments prefer viability gap subsidies although central government encourages user payment. Spatial difference coefficient is so high reflecting obvious regional differentiation of provincial PPP development. Recommendations are ultimately put forward to enhance China's future PPP promotion, which will provide a valuable direction for government to make PPP customized policies. [ABSTRACT FROM AUTHOR]

With knowledge perspective of industrial technology, in this paper we propose fast ranking score decision making model based on Fuzzy integrated TOPSIS approach to determine economic growth rate of manufacturing industry in China. This research focuses on driving effects of China's productive service industry on manufacturing technology innovation. The research results show that the manufacturer service industry takes a high level of information diffusion for the manufacturing industry. It transmits a large amount of diverse information through the unconstrained relationship with the manufacturing industry, thereby forming the economic network with proposed Fuzzy integrated TOPSIS economy ranking (FITER) model and improve the development level of the manufacturing industry. We evaluate the performance of proposed FITER model by comparing ranking score of different manufacturing industry with different existing decision making mode and demonstrate that proposed model represent best ranking score in comparison to existing approach. Result from data analysis motivates driving effect of production services on the technological innovation of manufacturing and sub-sectors. It is found that the innovation and technological advancement in the production industry of services takes drive the overall expansion level of the business industry, as well as make the manufacturing industry the strongest. [ABSTRACT FROM AUTHOR]

As there being more and more senior citizen in China, large quantities of endowment institutions are flooding into the market. However comparing with the large amount of senior citizen, the amount of endowment institutions are not enough with the uneven quality of service. Although in recent years the endowment institutions have made great progress and developed rapidly, a lot of pension agencies' service quality are still not so satisfying, especially some private pension institutions. Therefore, service quality evaluation of endowment agencies, which is aim at knowing the actual situation of the endowment institutions well, will be helpful for finding out the real problems of the endowment institutions. So that there will be practical significance to improve and enhance the service quality of the endowment institutions. In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the service quality of elderly institutions with hesitant fuzzy linguistic information. Then we used the hesitant fuzzy linguistic weighted average (HFLWA) operator to develop a procedure to multiple attribute decision making (MADM) problems. Finally, a practical example for evaluating the service quality of elderly institutions is given to verify the developed approach and to demonstrate its practicality and effectiveness. [ABSTRACT FROM AUTHOR]

Since the 1990s, High-tech industries have become the most dynamic growth point of the world economy and the leading industry in promoting economic development. In the fierce competition of globalization, it is necessary to master high-tech industries for the sake of grasping the leadership of economic development. As a developing country, China should develop high-tech industries more positively, so as to promote the adjustment of industrial structures and the transformation of economic development patterns, so that the country's economy development will be healthy and orderly. At present, the development of China's high-tech industry has made some achievements. By the end of 2012, the number of firms of China's high-tech industry has reached 24636, which is 1.52 times in compared with 9758 in 2000; the number of employees has risen from 2000 in 3.9 million to 12.69 million; the main business achieved at 10.2284 trillion yuan with 681.6 billion yuan total profit obtained. Compared with developed countries, however, the intensity of investment and the level of output in China's high-tech industries are both low. In this paper, we investigate the multiple attribute decision making problems with picture fuzzy information. Then, we utilize Choquet integral to propose the picture fuzzy correlated averaging (PFCA) operators. The prominent characteristic of this proposed operator are studied. Then, we have utilized the picture fuzzy correlated averaging (PFCA) operator to deal with the picture fuzzy multiple attribute decision making problems. Finally, a practical example for technical innovation efficiency evaluation of high-tech industry is given to verify the developed approach. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the multiple attribute decision making problems with picture fuzzy information. Then, we utilize induced OWA (IOWA) operator to develop picture fuzzy induced OWA (PFIOWA) operators. The prominent characteristic of this proposed operator are studied. Then, we have utilized the PFIOWA to develop an approach to solve the picture fuzzy multiple attribute decision making problems. Finally, a practical example for evaluating the enterprise marketing capability is given to verify the developed approach and to demonstrate its practicality and effectiveness. [ABSTRACT FROM AUTHOR]

As the basic necessities of human life, food, clothing, housing and transportation are of great importance to everyone, and the changes in these essential requirements of people can clearly manifest the development level of a society. China is a dominant textile producer in the world, with the textile export accounting for a large proportion of its overall trade export. In recent years, however, our textile export has encountered great challenges from both home and abroad. On the one hand, Green Barrier has raised its limits to China's textile export; on the other hand, people have laid a greater emphasis on environmental protection and their health, both of which call for advanced technology in the field of ecological textile. Yet the fact is that the development of China's ecological textile is still confined to the use of innocuous raw materials and its processing confined to the category of cleaner production and industrial communities. In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the resource integration capability of textile enterprise with hesitant fuzzy uncertain linguistic information. Then, motivated by the ideal of traditional power geometric aggregation operator, we have developed hesitant fuzzy uncertain linguistic power weighted geometric (HFULPWG) operator. Then, we have utilized hesitant fuzzy uncertain linguistic power weighted geometric (HFULPWG) operator to develop some approaches to solve the hesitant fuzzy uncertain linguistic multiple attribute decision making problems. Finally, a practical example for evaluating the resource integration capability of textile enterprise is given to verify the developed approach. [ABSTRACT FROM AUTHOR]

In recent years, China's real estate investment behavior with the market economy has been developing steadily and has become increasingly frequent. Real estate investment is a long construction period, huge investment, influence factors and complex activity, and the real estate enterprise is faced with increasingly fierce competition. How the scheme selection of more scientific, reasonable, comprehensive evaluation analysis of the investment plan, select the optimal scheme, is the key to win investment, is also the most critical problem facing investors. In this paper, we study on the multiple attribute decision making for real estate investment with hesitant fuzzy information. Inspired by the dependent aggregation, we propose the dependent hesitant fuzzy Hamacher weighted average (DHFHWA) operator, where the weights rely on the aggregated hesitant fuzzy arguments and can lower the influence of unfair hesitant fuzzy arguments on the aggregated results by allocating low weights to the "false" and "biased" ones and then utilize them to design this approach for multiple attribute decision making with hesitant fuzzy information. In the end, an example of real estate investment is proposed to testify our method. [ABSTRACT FROM AUTHOR]

Urban regeneration decision-making is a complicated system, which requires that stakeholder interests balance in aspects of the economy, society and environment. It is necessary to identify the key factors affecting urban regeneration and then construct an urban regeneration decision-making evaluation system to provide a basis for objective and comprehensive judgment for urban regeneration decision-making. Through constructing a fuzzy comprehensive evaluation model based on the entropy weight method, this paper attempts to provide a scientific evaluation method for the suitability of urban regeneration. An urban regeneration scheduling method by sorting the appropriate degree of the update of different areas in the large region, is proposed to achieve urban regeneration implementation in the sequence of time and space optimization. [ABSTRACT FROM AUTHOR]