Weight Of Evaluation Index Research Articles

A study on offshore wind farm site selection based on CRITIC and CPT-TOPSIS: a case study of China

PurposeThis study aims to improve the offshore wind farm (OWF) site selection evaluation index system and establishes a decision-making model for OWF site selection. It is expected to provide helpful references for the progress of offshore wind power.Design/methodology/approachFirstly, this paper establishes an evaluation criteria system for OWF site selection, considering six criteria (wind resource, environment, economic, technical, social and risk) and related subcriteria. Then, the Criteria Importance Though Intercrieria Correlation (CRITIC) method is introduced to figure out the weights of evaluation indexes. In addition, the cumulative prospect theory and technique for order preference by similarity to an ideal solution (CPT-TOPSIS) method are employed to construct the OWF site selection decision-making model. Finally, taking the OWF site selection in China as an example, the effectiveness and robustness of the framework are verified by sensitivity analysis and comparative analysis.FindingsThis study establishes the OWF site selection evaluation system and constructs a decision-making model under the spherical fuzzy environment. A case of China is employed to verify the effectiveness and feasibility of the model.Originality/valueIn this paper, a new decision-making model is proposed for the first time, considering the ambiguity and uncertainty of information and the risk attitudes of decision-makers (DMs) in the decision-making process.

Clustering Analysis of the Evaluation Data on Students’ Learning under a Blended Environment

This paper explores the establishment of the effectiveness evaluation index system for students’ learning under blended learning environment, so as to provide some theoretical reference and guidance for the evaluation of the effect of students’ learning in blended environment. In current studies, there are few quantitative analyses on the application cases or teaching practice, and there is also a lack of evaluation studies on the students as the main body of the learning process. Therefore, this paper carries out a study on the clustering analysis of the evaluation data on students’ learning in blended environment, displaying the learning effect satisfaction model for students under blended learning environment, and providing the idea of constructing a learning effect evaluation model accordingly. This paper characterizes the learning effect of students at each stage in the form of sets and formulates evaluation index system. The analytic hierarchy process-grey clustering evaluation of students’ learning effect in blended environment is carried out. On the basis of analytic hierarchy process, the evaluation index weight is determined and the evaluation grade is fixed based on the grey clustering analysis. The experimental results verify the effectiveness of the evaluation model.

Dynamic Monitoring of the Ecological Vulnerability for Multi-Type Ecological Functional Areas during 2000–2018

Studies that consider both the differences of evaluation systems and index weights among different ecological areas in different study periods for ecological vulnerability evaluation have not been reported yet. In addition, the comparability of vulnerability assessment results among different study areas is poor. This paper proposed a novel quantitative vulnerability evaluation method for multi-type and multi-temporal ecological functional areas using a dynamic weighting method: Three-River Source region grassland–wetland ecological functional area (TRSR), Guiqiandian karst rocky desertification control ecological functional area (GQD), Hunshandake desertification control ecological functional area (HSDK), and Chuandian forest and biodiversity ecological functional area (CD), and then introduced net primary productivity (NPP) to realize the determination of multi-type ecological vulnerability thresholds, which is helpful to compare the vulnerability evaluation results of different ecological functional areas in a unified and comparable level. The proposed novel quantitative vulnerability evaluation method had higher applicability in vulnerability assessment for multi-type ecological functional areas (91.1% for TRSR, 91.9% for HSDK, 91.7% for CD, and 94.2% for GQD) based on the dynamic weight determination method. The determination of vulnerability thresholds based on NPP could provide a comparable level to investigate the spatial distribution patterns of ecological vulnerability in multi-type ecological functional areas for different periods. The average ecological vulnerability of the TRSR, GQD, and CD was classified as mild vulnerability, while that of the HSDK was classified as moderate vulnerability. The research results could provide a novel method for the support of ecological protection for multi-type ecological zones on a national scale.

Construction of Combined Teaching Evaluation System Based on STATA Analysis

Designing a reasonable combined teaching scheme is not only the need to achieve teaching optimization, but also a reasonable choice to improve the overall level of teaching efficiency. The existing researches lack an evaluation system to judge the rationality of their designs. Therefore, this paper takes music teaching as an example to carry out the research on the construction of combinatorial teaching evaluation system based on STATA analysis. Firstly, the implementation process of the combined teaching strategy is provided here, and the construction of the combined teaching evaluation system is carried out from seven aspects, namely teaching in fun, emotional experience, student engagement, elicitation and induction, teaching according to students’ aptitude, creative development and vividness and intuitiveness. The entropy weight method is adopted to assign the weight of the combined teaching evaluation index of music major courses. Based on stata15.1 software tool, regression analysis is carried out on the main factors that affect the effect of combined teaching, and the relevant regression analysis model is constructed to realize the effect prediction of short-term combined teaching scheme in the case of small samples. The experimental results verify the effectiveness of the evaluation system and analysis model.

Research on the problem of comprehensive evaluation

Comprehensive evaluation is a systematic and complex work. It is one of the important means for people to know things, understand things and influence things. It is a management cognitive process and a management decision-making process. It is widely used in the fields of economy, society, science and technology, education, management and engineering practice. Some mature theories and methods have been formed around the purpose and process of evaluation, the construction of evaluation index system, the determination of evaluation index weight and value, the source and processing of data, the integration of evaluation information and the application of evaluation results. This paper mainly introduces the background of comprehensive evaluation, commonly used comprehensive evaluation methods and their advantages and disadvantages, discusses the most critical step in comprehensive evaluation - determination of weights, mainly introduces several methods to determine weights, and analyzes their advantages and disadvantages. In view of the limitations of subjective and objective methods to determine weights in the process of comprehensive evaluation, we use the maximum deviation model to solve the proportion of subjective and objective weighting methods, Make the combination weighting more effective.

Research on Resilience Evaluation and Enhancement of Deep Foundation Pit Construction Safety System

Deep foundation pit (DFP) projects have been a high incidence area of safety accidents because of their own high danger and complexity. Therefore, it is necessary to study the resilience of their construction safety system. This paper systematically identifies the key factors affecting the resilience of deep foundation pit construction based on the analysis of the composition of the deep foundation pit construction safety system (DFPCTSS), the synergistic relationship of its subsystems in the face of the interference and impact of internal and external disaster-causing factors, and the causal mechanism of typical accidents in DFP accidents and the emergent process of system resilience. A resilience evaluation indicator system based on four capacity dimensions of prevention absorption, resistance, recovery, and learning adaptation was constructed by using the fuzzy Delphi method, which is characterized by the resilience emergence process. Then the correlation and weight of evaluation indexes were analyzed based on the DEMATEL–ANP method, the boundary cloud parameters of the resilience evaluation grade were set according to the normal extension cloud model, and the membership degree of the resilience evaluation level was calculated to complete the evaluation of the resilience level. Finally, taking a DFP project of a metro station as an example, the above model was used to evaluate the resilience level of its construction safety system, and suggestions for resilience enhancement were put forward. The results show that the evaluation results are consistent with the actual situation of the project, and the evaluation model is conducive to providing a systematic analysis method and improvement countermeasures for deep foundation pit construction safety management from the perspective of resilience.

Research on user trust evaluation of social e-commerce platform based on artificial neural network

Due to the problems of poor evaluation accuracy and low evaluation efficiency existing in traditional social e-commerce platform user trust evaluation methods, a social e-commerce platform user trust evaluation method based on artificial neural network is proposed. According to the business factors, environmental factors and social factors, the evaluation system of user trust degree of social e-commerce platform is constructed, so as to build the objective function of user trust degree evaluation index weight calculation of social e-commerce platform. The objective function is optimized by using artificial neural network to obtain the evaluation index weight, and the evaluation model is constructed combined with the calculation results, complete the user trust evaluation of social e-commerce platform. Simulation results show that the proposed method has higher accuracy and shorter evaluation time.

Construction and Analysis of Evaluation Index System of College Students' Online Learning Based on Analytic Hierarchy Processes

The integration of education and network technology will increase students' diversified and personalized learning methods. In view of the convenience of online learning, this paper analyzes the situation and methods of online learning. Analytic hierarchy process (AHP) is used to analyze the online learning model, and the education evaluation system is constructed by using relevant evaluation indexes, so as to improve the efficiency of students' online learning. Furthermore, the hierarchical structure of online learning model is analyzed, and a comprehensive learning index system is constructed. The experimental results are as follows: (1) In the weight of evaluation indicators, the learning method of brushing online course is the favorite way of students, and the weight is as high as 0.5. (2) In the application of university teaching system, the popularity of rain classroom teaching method accounts for 3.84% of the relevant weight. (3) In consistency test and comprehensive weight analysis, the weight of the whole evaluation index is less than 0.1.

Comprehensive benefit evaluation of transmission and substation project for renewable energy connection: A case in China

With the increasing demand for renewable energy connection, the scale of investment in transmission and substation projects (TSPs) is also gradually expanding. In order to reduce overinvestment and inefficiency in response to the “precise investment” of the State Grid, it is necessary to evaluate the comprehensive benefits of TSPs for renewable energy connection. Therefore, a comprehensive benefit evaluation model of TSPs for renewable energy connection is proposed in this paper. Firstly, a multi-dimensional comprehensive benefit evaluation index system from the dimensions of economy, society, environment and operation is established. Then, triangular intuitionistic fuzzy number is used to collect decision makers’ evaluation information. Best–worst method and entropy weight method are combined to calculate the combined weight of evaluation indexes. MABAC method is used to rank the comprehensive benefits of TSPs. Then, five TSPs in Gansu province are used for empirical analysis. After analyzing through the model, the weights of economic benefits, social benefits, environmental benefits, and operation benefits are 20.78%, 23.03%, 27.42% and 28.77% respectively. In addition, the score of P1 is 0.44, which is the TPS with the optimal comprehensive benefit. Finally, sensitivity analysis and comparative analysis prove the stability and rationality of the proposed model.

Probabilistic hesitant fuzzy multi-attribute decision-making method based on improved distance measurement

In order to solve the problem of multi-attribute decision-making with unknown weights under probabilistic hesitant fuzzy information, considering the shortcomings of the existing probabilistic hesitant fuzzy distance measure, such as weak distinguishing ability, a probabilistic hesitant fuzzy multi-attribute decision-making method based on improved distance measures is proposed. Firstly, the hesitancy degree of probabilistic hesitant fuzzy element and the improved difference measure of probabilistic hesitant fuzzy element are defined, and an improved probabilistic hesitant fuzzy distance measure based on hesitancy degree, incompleteness degree and improved difference measure is proposed. Secondly, based on the improved distance measure, a mathematical programming model with the goal of minimizing the relative approach degree is con-structed to determine the attribute weights of evaluation indexes in multi-attribute decision making problems. Using it as a base, a new probabilistic hesitant fuzzy multi-attribute decision-making method is proposed by combining the improved probabilistic hesitant fuzzy distance measure with the compromise ratio method. Finally, the proposed method is applied to the problem of green supplier selection, and the feasibility and effectiveness of the proposed method are verified by case analysis and comparison with other methods.

An Analysis of the Impact of E-Commerce Supply Chain Collaboration on the Ecological Environment in Central Plain

Abstract In recent years, the ecological environment has been severely damaged and has evolved into a problem threatening human health due to the construction of the ecological environment. Therefore, studying the eco-environmental (ecological environment) issues in the process of the new eco-environment is of great significance to the comprehensive development of the region. The basic research framework of this article is to ask questions, analyse problems and solve problems. With the rise of e-commerce media platforms as the background, we use case studies and in-depth interviews to discuss the characteristics of the ecological crisis of e-commerce media platforms and analyse them in depth. This paper takes the new ecological environment as the research background, selects six major cities in the Central Plains as the research objects, and digs deep to find out the current ecological and environmental problems in the Central Plains. By citing the PSR (Pressure-State-Response) model, we construct the initial pressure and use the factor analysis method to determine the evaluation index model of the 16 sub-indices. Finally, we use the entropy method to standardise the original indicators. We determine the index weights, etc., to analyse the level of the ecological environment of the six cities. At the same time, this article evaluates the ecological environment in the process of the new ecological environment in the Central Plains. First, an evaluation index system is established, and then the evaluation index weight is determined to obtain the order of the ecological environment problems. According to the total score value of ecological environment quality, for different areas, comprehensive ecological environment zoning is proposed so that resources can be better and rationally developed and utilised. The ecological environment of mining areas is protected and improved to the maximum extent. At the same time, the mine ecological environment monitoring work plan is formulated; the construction of ecological restoration is proposed for areas (mine parks, geological parks, forest parks, and ecological parks). Through organisational structure adjustment and overall supply chain optimisation, relevant feasible solutions are proposed, and examples are given to illustrate the optimisation effects; the part summarises the significance of this research and the main existing problems and proposes future research recommendations. In the context of the new ecological environment, analysing the current situation of the ecological environment in the Central Plains, identifying the ecological and environmental problems in the process of the ecological environment, and proposing corresponding solutions based on the problems are conducive to the development of the new ecological environment in the Central Plains.

Research on the Optimization Technology of Mechanical Product Design Plan Based on Fuzzy Comprehensive Evaluation Analysis Method

In the scheme design stage of mechanical products, several design solutions need to be evaluated so that the best design solution can be selected from them. Because the evaluation of mechanical product scheme design is a multilevel, multiattribute and contains many fuzzy models, fuzzy comprehensive evaluation becomes an advantageous model for the evaluation of mechanical product scheme design. In this article, a fuzzy comprehensive evaluation method is constructed, and a combination of the subjectivity of determining weights by hierarchical analysis method and the objectivity of determining weights by entropy value method is used to calculate the weights of evaluation indexes, and a combined assignment method is established to improve the reliability of the evaluation method. Then, the best solution is selected by calculating the comprehensive evaluation value of each product design solution. Finally, the validity, reasonableness, and feasibility of the evaluation model are verified through the evaluation and selection of three design solutions for a gearbox reducer, which also provides a new method for the evaluation and selection of other product design solutions.

Online Evaluation Method of College Students’ Mental Health Based on Campus Network Text Mining

Aiming at the problem that the mental health of contemporary college students is affected by many parties, and the evaluation accuracy and evaluation effect are poor, an online evaluation method of college students’ mental health based on campus network text mining is proposed. Mining and analyzing the association rules of the association features between texts, analyzing the monitoring quantitative index of the online evaluation of college students’ mental health; based on the regional transfer coefficient of existing mental health text information, the influencing factors of college students’ mental health are determined, and the online evaluation model of college students’ mental health is constructed. The membership degree of the factors is comprehensively calculated, and the corresponding fuzzy consistent matrix is used to compare the quantitative results of the index scales, and the interval number judgment matrix is constructed, which corresponds to the interval number weight of each secondary evaluation index one-to-one. The weight of the indicators is divided into the mental health assessment level, and the online assessment of college students’ mental health is completed. The experimental results show that the evaluation accuracy of the design method is more than 97.36%, the recall rate is more than 97%, and the highest packet loss rate is less than 0.3%, which proves that the online evaluation results of college students in this method are more accurate and that the accuracy and effect of the online evaluation of college students’ mental health are improved.

Exploration of Regional Public Digital Culture Service Mode Based on Artificial Intelligence Technology

In order to improve the development of China’s public cultural service supply field, this paper introduces the public culture of weather services with the support of network intelligence services and smart devices. This article examines the purpose of public cultural cloud services to identify current public service public culture and future development models; The results show that the average consistency indexes determined by the weight of evaluation indexes based on AHP are 0, 0, 0.514, 0.894, 1.118, 1.248, 1.344, 1.421, and 1.461, respectively. Their importance order is judged according to the degree of relative importance. According to the hierarchy and diversity of users’ needs, a “multiple” development model of public digital culture cloud service is constructed. This data provides a measure of resistance to innovations in public cloud culture, data advocacy to support public climate change in four areas: the reform of service strategies, the integration of public culture, the development of specialized resources, and the development of service teams and customer capabilities.

Evaluation Method of Mixed Teaching Efficiency of College Teachers Based on Kirkpatrick Model.

Online teaching has become more prevalent in recent years as a result of the process of digitization and adaptation to the times. Classroom instruction is no longer just conducted in person offline. Online education has received a lot of promotion, especially in the wake of the epidemic's effects, and has evolved into a blended teaching model that combines the two modes. The old system of measuring the effectiveness of teaching is no longer reliable or scientific in assessing the new blended teaching model, and it has many flaws. A perfect system for evaluating the effects of blended learning must therefore be built. In order to more accurately assess the teaching impact of the blended teaching model, this study aims to build a more comprehensive system for evaluating blended teaching effects. This paper introduces the Kirkpatrick four-level evaluation model, which plays a significant role in the evaluation field, in order to achieve this goal. The experiments in this study compared the Kirkpatrick model with the AHP, which is frequently used in the evaluation. Online, offline, and blended teaching models were the subject of an experimental investigation. The experimental results demonstrated that each index combination's weights in the Kirkpatrick model and the AHP model of the blended teaching effect evaluation system were fairly close to one another. The evaluation indicators all center on the assessment of practical ability after class, which is consistent with their focus. The innovation evaluation of course papers has the highest weight, and the weight of evaluation indicators is greater than 0.15; the Kirkpatrick model has the lowest weight of the number of platform logins, with a weight value of 0.011, and the evaluation index of the teaching effect evaluation system based on AHP.

Dynamic Evaluation of Intensive Land Use Based on Objective Empowerment by Entropy Method and Neural Network Algorithm.

In the past, the extreme value standardization of indicators, the traditional weighting method, and the multifactor comprehensive model of land intensive use inevitably linearly correlate the evaluation indicators with the evaluation objects, ignoring the direction differences of different indicators in different intervals. At the same time, these methods are also difficult to meet the change of evaluation index weight value with land use type, and cannot adapt to the actual situation of land use environment level and dynamic change. Considering the objectivity of nonlinear correlation moderate index and weight assignment, based on the standardization of quadratic function index and entropy assignment, this paper studies the intensive and dynamic use of land in development zones by different regions to improve the realistic fit of the evaluation model. The results show that the overall level of land intensive use in Chongqing center district and western Chongqing is better than that in northeast Chongqing and southeast Chongqing, roughly showing the state of “high in west and low in east.”

Research on Evaluation Method of Digital Project Cloud Model Considering Weight Sensitivity

Digitization is a driving force for social development and corporate innovation. Digital projects have become an indispensable part of the sustainable development of enterprises. However, due to the imperfect decision-making system of digital projects and the lack of experience of traditional enterprises’ digital projects, the decision-making of digital projects is an unavoidable challenge in the digital transformation of enterprises. For the digital project decision of the STATE GRID Corporation of China, this paper conducts a sensitivity analysis of digital project evaluation index weights based on cloud model theory, on top of historical successful project experience to support digital project decision-making. Firstly, this paper establishes a comprehensive evaluation index system for digitalization projects from five aspects: economic efficiency, interconnection, intelligent management, value release, and development innovation. The coefficient of variation method is used for index screening, and the weight intervals are formed by four subjective and objective assignment methods. Then, the LSOM model is established to generate the weight values in the interval, and, finally, the sensitivity of digital project comprehensive evaluation indexes is analyzed based on the cloud model to select the most robust index weights for project evaluation and choose the optimal project. The feasibility of the proposed method is verified by arithmetic examples.

Evaluation of Black-Start Schemes Based on the Evaluation Indicator System

The black-start scheme is of great significance for the rapid recovery of the power system after a blackout. Most of the existing black-start scheme evaluations are studied from the perspective of improving the weight of evaluation indicators and evaluation methods, ignoring differences in the importance of evaluation indicators at different stages of recovery. Therefore, this study proposes a black-start scheme evaluation model based on the evaluation indicator system. First, starting from the elements of the black-start scheme, 14 evaluation indicators for the black-start scheme are proposed, concerning the characteristics of the grid nodes and the different stages of system recovery. Based on the analytic hierarchy process, the evaluation indicators are linked to the evaluation criteria of the system recovery stage to construct an evaluation indicator system for the black-start scheme. Second, the weight of the evaluation indicator is calculated by combining the analytic hierarchy process and the entropy weight method to obtain the result of the subjective and objective combination. Third, this study proposes an evaluation method integrating prospect theory and the multicriteria compromise solution ranking method, by combining the psychological perceived value of decision-makers with the characteristics of black-start schemes, to evaluate and rank black-start schemes. Finally, the rationality and accuracy of the evaluation model proposed in this study are verified by an example of the black-start scheme of Gansu power grid, which could provide a new idea for decision-makers to choose an appropriate black-start scheme.

Cross Border Supply Chain Coordination Evaluation Model of biotech Logistics Industry based on Big Data Drive

Aiming at the low evaluation coordination degree of the traditional cross-border supply chain coordination evaluation model of biotech logistics industry, a cross-border supply chain coordination evaluation model of biotech logistics industry based on big data drive is designed. By establishing the cross-border supply chain coordination evaluation index system of the biotech logistics industry, calculating the reliability of the evaluation index, extracting the cross-border supply chain coordination evaluation data of the biotech logistics industry based on big data drive, establishing the weight of the supply chain coordination evaluation index, using the coordination capability function to realize the cross-border supply chain coordination evaluation of the biotech logistics industry, and obtaining a complete evaluation model. The experimental results show that the coordination degree of the designed evaluation model is significantly higher than that of the control group, which can solve the problem of low evaluation coordination degree of the traditional cross-border supply chain coordination evaluation model of biotech logistics industry.

Quality Evaluation of Ideological and Political Education in Universities Based on BP Neural Network.

At present, there are some problems in the research of curriculum ideological and political quality evaluation, such as insufficient theme attention, insufficient theoretical research, incomplete data collection, and so on. This study aims to use the BP neural network in the ideological and political quality evaluation system so that the system can more comprehensively and accurately reflect the actual situation of students and point out the direction for the development of students' ideological and political education. The construction of this system can provide a very considerable and accurate way for the quality evaluation of ideological and political education of college students and especially solves the problems of human subjective, factor errors, and the setting of evaluation index weights in the evaluation system.