Fuzzy Integrated Evaluation Method Research Articles

Larval occurrence prediction of Dendrolimus punctatus based on fuzzy integrated evaluation method

AbstractTo improve the prediction accuracy of Dendrolimus punctatus larvae of overwintering, first and second generation and to provide a scientific basis for effective prevention and control of D. punctatus, six mathematical models of fuzzy comprehensive evaluation method were used to predict accumulative amount with the data of 1989–2014. The cumulative amount for the overwintering and the first generation was predicted in 2015, 2016, 2017, and 2018. The forecasted results of six models were all level 1, which was consistent with the actual results. Five forecasted results of six models and the actual results were level 1. The actual accumulative amount of D. punctatus for the second generation was level 1 in 2015, 2016, and 2017, which were consistent with the six models' forecasted results.

Most suitable plant communities for the slope reclamation of the Zhengzhou-Xinxiang section of the Beijing-Hong Kong-Macao expressway.

The construction of expressways in China has produced diverse habitats along slopes characterized by steep gradients, uneven water distribution, poor soil conditions, and no routine maintenance. Manually planting beneficial species is an essential method of effectively improving slope soils to prevent soil erosion. However, few studies have evaluated the reclamation effects and plant community composition and structure used to restore slopes along expressways. This study focused on the Zhengzhou-Xinxiang section of the Beijing-Hong Kong-Macao Expressway. A total of 10 representative plant communities were evaluated using the analytic hierarchy process (AHP)-fuzzy integrated evaluation method. The sites were divided into four layers, namely, plant communities, soil nutrients, soil physical properties, and other ecological factors, and 14 indicators were assessed. The evaluation results showed that four of these plant communities (PCs) were excellent, three PCs were good, one PC was normal, two PCs were poor. The four excellent PCs had high Shannon-Wiener index, pielou index, richness index or community productivity. It is worth noting that most excellent plant community structures were tree + shrub + herb. Based on these results, we recommend that fill slopes should be restored using a combination of trees, herbs, and shrubs; also, the vegetation should include native plants, such as B. papyrifera, U. pumila, A. fruticosa, and Cynodon dactylon (L.). This study could provide ideas for plant community composition and structure of new highway slopes in similar climate environment, and provide theoretical support for plant community composition and structure and soil improvement for the existing slope.

A multi-objective optimization method for enclosed-space lighting design based on MOPSO

With the rapid development of underground spaces and manned cabins, the design of enclose-space has received attention. Humans working in enclosed-space for a long period of time are prone to fatigue, which in serious cases can lead to human errors and major accidents. Therefore, the optimized design of enclosed-space is of great research significance to enhance the efficiency and comfort of workers. The lighting environment is one of the important objectives of the optimized design of enclosed-space, and the current research on lighting design often focuses on single-objective reduction of energy consumption or improvement of visual effects, and lacks attention to non-visual effects. We propose multi-objective optimal control strategy for enclosed-space lighting systems, taking the visual effects, non-visual effects, and energy efficiency of lighting as the optimization objectives and constraints, combined with multi-objective particle swarm optimization algorithm. Firstly, we obtain a set of optimal Pareto front solution for the dimming level by improving the algorithm. Secondly, to select appropriate lighting strategies according to different working scenarios, we introduce the fuzzy integrated evaluation method of experts to find the best compromise. Finally, we used a manned simulated enclosed cabin based on DIALux evo for a case study to compare the optimization results with baseline solutions. The results show that when we employed the improved dimming strategy, the energy efficiency and visual comfort were significantly improved compared with the baseline lighting design. The proposed method can satisfy human non-visual effects requirements, providing a research reference for future enclosed-space lighting optimization.

Unveiling the Role of Zoos in Smart Cities: A Quantitative Analysis of the Degree of Smartness in Kyoto City Zoo

The rapid pace of urbanization and the emergence of social challenges, including an aging population and increased labor costs resulting from the COVID-19 pandemic, have underscored the urgency to explore smart city solutions. Within these technologically advanced urban environments, zoos have assumed a pivotal role that extends beyond their recreational functions. They face labor cost challenges and ecological considerations while actively contributing to wildlife conservation, environmental education, and scientific research. Zoos foster a connection with nature, promote biodiversity awareness, and offer a valuable space for citizens, thereby directly supporting the pillars of sustainability, public engagement, and technological innovation in smart cities. This study employs a quantitative analysis to assess the alignment between smart projects and the distinctive characteristics of Kyoto Zoo. Through questionnaires, we collected feedback on performance and importance, and subsequently employed the analytic hierarchy process and the fuzzy integrated evaluation method to obtain quantitative results. The findings reveal the high level of intelligence exhibited by Kyoto Zoo, and the analysis provides insightful guidance that can be applied to other urban facilities. At the same time, we compared Kyoto Zoo with Ueno Zoo to see the difference in intellectualization achievements in different contexts in terms of data and systems.

Optimization analysis of cross-border e-commerce marketing strategy based on the SCOR model

Abstract Cross-border e-commerce has developed rapidly with network globalization, convenience, and mobility characteristics, and its operation mode is highly popular in the international trade industry. This paper analyzes cross-border e-commerce marketing strategies based on the SCOR model, aiming to seek scientific and reasonable methods to improve cross-border e-commerce companies’ precision marketing speed and accuracy and gain greater advantages in the fiercely competitive environment. This paper uses the SCOR model to identify the possible risks of marketing in the cross-border e-commerce industry. The characteristics of the supply chain are studied, and the relevant risk factors are identified from a holistic perspective. By comparing the two risk assessment methods of the fuzzy integrated evaluation method and the BP wavelet neural network model, the advantages of the BP wavelet neural network model in this paper are proved, and then the method is chosen as the risk assessment method and verified by example. Furthermore, through questionnaire surveys, we obtain information about consumers’ purchasing ability, purchasing channels, and satisfaction with cross-border e-commerce operation services to clarify consumers’ psychology and provide data support for operation strategy improvement research. The results show that: the consumption ability of people aged 20 to 25 to purchase cross-border products is concentrated in the range of 400 to 1000 yuan/month; the consumption ability of people aged 26 to 40 to purchase cross-border e-commerce products is concentrated in the range of 1000 to 1500 yuan/month, and the number of people whose purchasing ability is above 1500 yuan/month reaches 2%; the consumption ability of people aged 41 to 55 to purchase products is concentrated in the range of 600 to 1000 yuan/month, followed by 1000 to 1500 yuan/month. The next is 1000-1500 yuan/month. Overall, the purchasing power of people in each age group is medium. Among them, the purchasing power of people aged 26 to 40 is the strongest. Therefore, it is necessary to develop targeted and personalized marketing programs, improve consumer stickiness, pay attention to the significance of big data for accurate marketing, and improve the overall marketing level of enterprises.

Agroforestry Ecosystem Structure and the Stability Improvement Strategy in Control of Karst Desertification

Agroforestry systems (AFS) are priority semi-natural ecosystems in fragile ecological zones. The complexity and diversity of their species structure play a crucial role in maintaining AFS stability. To explore the optimization of improvement strategies in AFS’ structure and stability for control of karst desertification (KD), in this study, we chose typical desertification control areas in the southern China karst region. The study included homegarden (HG), agrisilviculture (ASV), and multipurpose woodlots (MWLs) as three AFS. We quantified the AFS’ structural characteristics using descriptive statistics and spatial structure parameters. We used the fuzzy integrated evaluation method with structural and functional indicators as guidelines, and stand structure, plant species diversity, soil fertility, and environmental factors as first-level evaluation indicators. The entropy weight method calculates the weights of indicators at all levels. The fuzzy comprehensive evaluation method establishes an evaluation index system to evaluate the grading of AFS’ stability. The results showed that: (i) The species composition of the AFS in the KD control areas had a simple structure, the overall diversity level was low, and the diversity level of herbaceous plants was better than that of woody plants. (ii) The overall distribution curves of diameter at breast height (DBH), tree height (TH), and crown width (CW) of woody plants in the AFS in the KD control areas were slight to the left, with a single-peaked pattern, mostly randomly and unevenly distributed in space, with a low degree of tree species isolation and relatively weak stand stability. (iii) There was variability in the stability classes of different types of AFS, overall reflecting the ranking HG > ASV > MWLs. (iv) When structural optimization was applied, corresponding measures can be taken according to farmers’ wishes for different types of AFS and their primary business purposes. The improvement of stability depends mainly on the utility of the structural optimization applied coupled with positive human interference (for example, pruning, dwarfing, and dense planting). This study provides a scientific reference for maintaining the stability of AFS and promoting service provision.

Exploring Intelligent Teaching for Teachers of Ideology and Politics in the Context of Artificial Intelligence

MooTools (MOOC) is an emerging teaching mode in higher education in recent years, which is rapidly developing and expanding into the traditional teaching field. Based on the characteristics of MOOC platform, this paper explores the intelligent teaching of ideology and politics in the context of artificial intelligence and selects the Internet of Things (IoT) technology course as the research object to combine the MOOC hybrid teaching method with the teaching of IoT technology course. In this paper, a two-level dynamic student model is proposed, which has the following characteristics: (1) comprehensive characteristics of learners are obtained through a combination of tracking and comprehensive evaluation, (2) secondary characteristics of learners are maintained to the instructor in an open and dynamic way, and (3) information of secondary characteristics is organized in the form of running accounts. Based on the two-level dynamic student model, the generalized fuzzy integrated evaluation method is used to evaluate the secondary characteristics of the learners. Through this project, effective improvement of students’ course learning performance and recognition of the course was achieved.

Anti-Poverty Performance Assessment and Forecasting

In order to further help each unit that mitigates the poverty of impoverished regions to improve the efficiency of poverty alleviation, this paper establishes a poverty alleviation performance evaluation index system. Firstly, we analyze the correlation among poverty alleviation indicators through a matrix density diagram. Second, the questions are divided into target layer (poverty alleviation performance), criterion layer (poverty alleviation efficiency, poverty alleviation effect, and poverty alleviation rate), and indicator layer, and the fuzzy hierarchical integrated evaluation method is used to calculate the performance score of each poverty alleviation unit. In addition, based on the historical data, support vector machines were used to calculate the grading rules and predict whether the village could be awarded the title of "advanced village in poverty alleviation". Finally, based on the study, recommendations were made to the National Poverty Alleviation Office for the differences in the individuality of the villages and the distribution of the work content of the poverty alleviation units.

Spatial Identification and Redevelopment Evaluation of Brownfields in the Perspective of Urban Complex Ecosystems: A Case of Wuhu City, China.

Rapid industrialization and urbanization in China have led to a rapid increase in the number of brownfields, however there is a lack of identification of the spatial extent of brownfields in cities and accurate assessment of brownfield redevelopment. Based on the relationship between brownfields and urban complex ecosystems, this paper defines brownfields in China and constructs a comprehensive evaluation index system including socio-economic and ecological subsystems. Using Wuhu City as empirical evidence, 19 brownfields were identified using remote sensing data and field surveys. Based on the detection of soil contaminants in brownfields, a fuzzy integrated evaluation method was used to suggest their redevelopment direction. It is found that the government’s planned land use types and the brownfield redevelopment evaluation results match to a large extent, but social, economic and ecological environmental factors should be more fully considered. At the same time, the identification and redevelopment of brownfield sites in the city as a whole need to be carried out by the government’s professional forces in order to obtain more effective and scientific conclusions.

Water Quality Evaluation Method Based on a T-S Fuzzy Neural Network—Application in Water Environment Trend Analysis of Taihu Lake Basin

In response to the problems of large computational volume and tedious computational process of fuzzy integrated evaluation, and general neural network models without clear water quality training criteria, this paper organically combines fuzzy rules, affiliation function, and neural network, and proposes a comprehensive method for the evaluation of water quality based on a T-S fuzzy neural network. On the three water quality monitoring data of six national key monitoring stations in Taihu Lake Basin, three evaluation methods—the one-factor evaluation method, the fuzzy integrated evaluation method, and the T-S fuzzy neural network evaluation method—were used to comprehensively evaluate water environment quality, and the results showed that the T-S fuzzy neural network method has the advantages of convenient calculation, strong applicability, and scientific results.

Fuzzy Integrated Evaluation Based on HAZOP

Abstract Fuzzy integrated evaluation method is introduced based on the results of HAZOP, to compensate for the lack of HAZOP. The byproduct steam synthetic furnace system in a company’s technological process of preparing high concentration hydrochloric acid was taken as an example in this paper. To obtain more perfect safety condition index system of the byproduct steam synthetic furnace system, the HAZOP was applied to analyses the possible causes and consequences of parameter deviation during the device running. Then, according to this established index system, fuzzy integrated evaluation was employed. The results show that the combination of HAZOP and fuzzy integrated evaluation not only achieved semi-quantitative assessment of system, but also evaluated the degree of importance of the parameters at each node to the normal operation of the device and the integral safety of the node. Furthermore, resources and information were shared and the limited resources were distributed reasonably on the basis of HAZOP analysis results.

Food Supply Chain Safety Risk Evaluation Based on AHP Fuzzy Integrated Evaluation Method

With the improvement of people’s living standards, the food safety issue occurs frequently. How to identify all kinds of risks, evaluate these risks scientifically and manage the risk control effectively are the challenge for each sully chain manager and the relevant researchers. In order to reduce the occurrence of the food safety issues and ensure the quality of the people’s life, it is necessary to evaluate the food safety. Based on the food supply chain safety evaluation model, this paper uses AHP fuzzy integrated evaluation method with a new scale to evaluate food supply chain safety risk. The paper provides reference to ensure the safety of the food supply chain.

Construction of an Early Risk Warning Model of Organizational Resilience: An Empirical Study Based on Samples of R&D Teams

Facing fierce competition, it is critical for organizations to keep advantages either actively or passively. Organizational resilience is the ability of an organization to anticipate, prepare for, respond to, and adapt to incremental change and sudden disruptions in order to survive and prosper. It is of particular importance for enterprises to apprehend the intensity of organizational resilience and thereby judge their abilities to withstand pressure. By conducting an exploratory factor analysis and a confirmatory factor analysis, this paper clarifies a five-factor model for organizational resilience of R&D teams. Moreover, based on it, this paper applies fuzzy integrated evaluation method to build an early risk warning model for organizational resilience of R&D teams. The application of the model to a company shows that the model can adequately evaluate the intensity of organizational resilience of R&D teams. The results are also supposed to contribute to applied early risk warning theory.

The Study and Measurement of the Evaluation Index System on Energy Industry Competitiveness Based on Evolution Mechanism of Self-Organization

Ecology holds that the evolution process of self-organizations commonly exists in various systems, and the formation process of energy industry competitiveness itself can be regarded as an evolution process of self-organizations. This paper will combine related theories from ecology and economics effectively. Based on the conditions needed by the evolution of self-organizations, the paper first analyzes self-organization evolution process of energy industry competitiveness and establishes evaluation index system of energy industry competitiveness. Then this paper uses fuzzy integrated evaluation method to measure it, and finds that the energy industry competitiveness in China is at a general level. This paper concludes that strengthening the catalytic capacity and evolution capacity of energy industry is an effective way to enhance the energy industry competitiveness in China.

Assessment on Emergent Pollution Emergency of Water Environment of Qinghe River Basin Based on Fuzzy Integrated Evaluation Method

For making timely and correct decisions for emergent pollution emergency of the water environment, combined with fuzzy integrated evaluation method, the model for the evaluation of emergency is established. Qinghe river basin is estimated in 3-level fuzzy integrated evaluation from 6 aspects. The results show that the score of emergent pollution emergency of the water environment of Qinghe river assessment is 3.9273,which close to a good level. The capacity of emergency support and emergency response is superior, and the abilities of emergency prevention, emergency decision-making and emergency recovery are relatively general, which should be completed.Emergent pollution emergency of the water environment is affected by many factors, a multi-target integrated evaluation system should be established. At present, the emergent pollution emergency system of water environment in our country still needs to be improved, the construction of which started relatively late, and the evaluation of which is at the exploration stage. To find the existing problems and shortcomings in emergency system of emergent pollution in water environment, the emergency evaluation index system is established, which improve the water environmental pollution emergency system. However, most of the indicators building the index system are qualitative, which has certain fuzziness when being estimated. Meanwhile it exists certain fuzziness when expressing characterizing attributes of the degree of realization and level of most evaluation indicators, and it is difficult to use specific, accurate data for quantitative description, generally it is expressed by fuzzy degree concepts like ‘Excellent, good, medium, qualified, bad’ and so on. Therefore, the emergent pollution of water environment is estimated by fuzzy integrated evaluation method in this paper.