Grey Evaluation Method Research Articles

Highway Microgrid Project Evaluation under Energy Transportation Integration

The construction of highway microgrids is evolving into a new highway energy system that integrates “Source-Network-Load-Storage”. This paper provides a comprehensive evaluation of expressway microgrids from the perspective of transportation and energy integration. An index model is set up that considers the economy, technology, and environment. The grey evaluation method, on the strength of analytic hierarchy process–entropy weight method, shows that the integrated microgrid of “source-network-load-storage” promotes energy sustainability, supply reliability, and sustainable environmental development. When compared to different evaluation methods for microgrid planning schemes, our method yields the highest score of 0.9127, indicating superior results. This approach is suitable for the multicomponent evaluation system of expressway microgrids and allows for scientifically evaluating microgrid planning schemes.

Evaluation analysis and promotion paths of regional green innovation vitality in China

PurposeThe purpose of this work is to construct a grey entropy comprehensive evaluation model to measure the regional green innovation vitality (GIV) of 31 provinces in China.Design/methodology/approachThe traditional grey relational proximity and grey relational similarity degree are integrated into the novel comprehensive grey evaluation framework. The evaluation system of regional green innovation vitality is constructed from three dimensions: economic development vitality, innovative transformation power and environmental protection efficacy. The weights of each indicator are obtained by the entropy weight method. The GIV of 31 provinces in China is measured based on provincial panel data from 2016 to 2020. The ward clustering and K-nearest-neighbor (KNN) algorithms are utilized to explore the regional green innovation discrepancies and promotion paths.FindingsThe novel grey evaluation method exhibits stronger ability to capture intrinsic patterns compared with two separate traditional grey relational models. Green innovation vitality shows obvious regional discrepancies. The Matthew effect of China's regional GIV is obvious, showing a basic trend of strong in the eastern but weak in the western areas. The comprehensive innovation vitality of economically developed provinces exhibits steady increasing trend year by year, while the innovation vitality of less developed regions shows an overall steady state of no fluctuation.Practical implicationsThe grey entropy comprehensive relational model in this study is applied for the measurement and evaluation of regional GIV, which improves the one-sidedness of traditional grey relational analysis on the proximity or similarity among sequences. In addition, a three-dimensional evaluation system of regional GIV is constructed, which provides the practical guidance for the research of regional development strategic planning as well as promotion paths.Originality/valueA comprehensive grey entropy relational model based on traditional grey incidence analysis (GIA) in terms of proximity and similarity is proposed. The three-dimensional evaluation system of China's regional GIV is constructed, which provides a new research perspective for regional innovation evaluation and expands the application scope of grey system theory.

Coal Mine Fire Emergency Rescue Capability Assessment and Emergency Disposal Research

Nowadays, underground coal mine accidents occur frequently, causing huge casualties and economic losses, most of which are gas explosion accidents caused by fires. In order to improve the emergency rescue capability of coal mine fires and reduce the losses caused by coal mine fires, this article is dedicated to the assessment of coal mine fire rescue capability. Taking the fire emergency rescue system of Lugou mine as an example, based on the introduction of gray system theory and gray evaluation method, an evaluation model was established to assess the risk of the fire emergency rescue index system of Lugou mine. Four primary and 19 secondary indicators were delineated, and a hierarchical structure model of the fire emergency rescue capability of the Lugou mine was established by combining expert opinions, and the weights of indicators at all levels were calculated by using hierarchical analysis. We then used the gray system evaluation method and expert scoring to judge the safety level of various indicator factors in the index system. The evaluation results show that the risk level of the emergency rescue system of the Lugou mine fire is higher than the fourth level. The main risk indicator factors are firefighting equipment, decision-making command, emergency education and training, and fire accident alarm. In response to this evaluation result, corresponding control measures were formulated in four aspects: rescue organization guarantee, personnel guarantee, material guarantee, and information guarantee, which optimally improved the emergency rescue capability of the Lugou mine fire and reduced the loss caused by fire.

Data Quality Evaluation of Photovoltaic Power Station based on Entropy Weight Method and Grey Comprehensive Evaluation Method

The increasing necessity of renewable energy utilization has fueled the successful development of photovoltaic power generation technology. Distributed photovoltaic power stations have been rapidly promoted because of their small installed capacity and low initial investment costs. Scientific and comprehensive data evaluation of distributed PV is conducive to improving the operational efficiency of the power station. An index evaluation system is constructed for distributed power station data in each province. The entropy weighting method is used to determine the weights of different dimensions. Then, the data quality evaluation level is contrasted with the help of the gray evaluation method. Simulations of the proposed method were conducted. Finally, the results showed that the data of the tested distributed PV were at an excellent level, which verified the applicability of the method. In addition, the causes of data quality deficiencies are preliminarily explored.

A three-stage grey evaluation method for assessing the performance of interdisciplinary organizations

PurposeThis study constructs a three-stage evaluation model for interdisciplinary organizations to solve their ranking problems effectively.Design/methodology/approachA three-stage interdisciplinary organization evaluation model abounds the key problems of “who will evaluate the projects?” and “how to evaluate the projects?”. In the first stage, the authors build a consensus maximization model to identify the selected experts based on the interval grey number because of the uncertainty in assessment. In the second stage, considering the reliability of the experts, the authors calculate the reliability of the experts based on historical data. Meanwhile, considering the gradual changes of the experts, the dynamic weighting method is obtained based on the clustering method. In the third stage, considering decision-makers regret psychological behavior, the authors construct a cross-organizational performance evaluation model based on consensus expectations.FindingsFirst, for selecting the experts responsible for assessing interdisciplinary organizations, the consensus-reaching method can effectively avoid cognitive bias. Second, during the assessment, the authors obtained more reasonable results by considering the psychological changes of experts based on regret theory. Third, based on the results, the cross-organization of colleges focused on the achievements of talent training, cross effects, and system construction.Practical implicationsOur study could help organizations establish a suitable assessment mechanism and promote interdisciplinary development.Originality/valueFirst, considering the importance of selecting the experts, the authors use the consensus-reaching process for expert selection. This method could guarantee most experts' preferences. Then, the authors propose a two-stage dynamic weighting method, including a pre-determined and adjusted process. The dynamic method can better perform the preferences of experts. Third, the authors studied the assessment in interdiscipline. In addition, based on the framework and considering the features of the interdiscipline, the authors use the grey number to perform the uncertain preferences of the experts using regret theory.

Gyro Test Evaluation Based on Grey Clustering

Abstract Based on the test and evaluation of satellite control sub-systems, this article applies the gray clustering evaluation method in the gray system theory to the lack of objective quantitative standards in the current test and evaluation, and establishes the evaluation index system and evaluation model of the two-float gyro. The model is verified by using telemetry data and the evaluation conclusion of the gyro is got. The establishment of the model provides an objective and quantitative standard for the evaluation, and reduces the subjectivity and ambiguity in the evaluation. The model and method can be applied to other components of the control sub-system, and it has promotion significance for the test and evaluation of the entire control sub-system.

Analysis of logistic elements in green supply chain: clear, unclear and grey evaluation methods

Analysis of logistic elements in green supply chain: clear, unclear and grey evaluation methods

A study of the teacher-student interaction in a flipped classroom of college oral English based on mobile learning

In order to solve the problem of low analysis accuracy in the traditional method of interactive effect analysis of English spoken in classrooms in colleges and universities, a mobile learning-based method of the interactive effect analysis of spoken English is proposed. By analysing the characteristics of teacher-student interaction in a flipped classroom, a mobile learning app was constructed. To obtain the relevant information about the teacher-student interaction effect, an evaluation system of the teacher-student interaction in a college English-flipped classroom based on mobile learning was established. Combined with the fuzzy comprehensive evaluation method and multi-level gray evaluation method, the interactive effect of flipped classroom in college English-speaking was analysed according to the evaluation results. The experimental results show that the accuracy of the proposed method is up to about 99%, and the analysis time is about 4 s.

Geological environment evaluation of river valley slope projects based on remote sensing technology

The method to evaluate the geological environment of river valley slope projects has a small precision in determining the weight of geological environment evaluation index, which leads to a large error between the results of geological environment evaluation and the actual value of river valley slope projects. Therefore, the reverse research of the geological environment evaluation of river valley slope projects based on remote sensing technology is proposed. Remote sensing technology is used to build the projects’ geological environment evaluation framework of river valley slope, on this basis, the Delphi method is used to preliminarily determine the geological environment evaluation index, the cluster analysis is used to screen the evaluation index, the evaluation system of projects’ geological environment is constructed, the AHP method is used to calculate the evaluation index weight, and the corresponding remote sensing image number is obtained according to the projects’ geological environment evaluation system. According to the data, the corresponding software is used to preprocess it, and the remote sensing data of projects’ geological environment is obtained. The grey evaluation method is constructed based on AHP to realize the evaluation of geological environment of river valley slope projects. The experimental results show that compared with the existing methods, the evaluation error of the proposed method is smaller, which fully proves that the application performance of the proposed method is better.

Application of fuzzy evaluation technique and grey clustering method for water quality assessment of the coastal and estuaries of selected rivers in Sarawak

BackgroundEstuarine and marine water quality has remarkable importance because these water resources are used for multiple reasons for instance: transportation, tourism, recreation, and other human or economic ways to use water. The objective of the study was to assess the water quality of the coastal and estuaries of the Rambungan, Sibu, Salak, and Santubong rivers in Sarawak, Malaysia. Water samples were collected from 10 locations and analyzed by employing standard techniques. A fuzzy comprehensive evaluation, grey clustering evaluation methods, Thailand Marine Water Classification System, and the Malaysian Marine Water Quality Index (MMWQI) and its classification system were applied to compute the index of each water quality parameter.ResultsThe results showed that all the analyzed water quality parameters were within the allowable threshold levels. The results obtained by the application of fuzzy comprehensive evaluation and grey clustering evaluation methods proved that the coastal and the estuaries waters were clean with exception of coastal location CZ9 and the estuary of Salak river which showed slight pollution. Based on the Malaysian Marine Water Quality Index, it was observed that all the locations were in the classification group of moderate (i.e. 50–79%). This suggests that the estuaries of selected rivers can be used for natural resource conservation, while the coastal regions are good for fish farming.ConclusionIt can be deduced that the suggested techniques were workable and logical. The method developed and the information in this study can serve as a reference and decision support for scientists and policymakers of concern.

Grey Evaluation Method of DC Current Transformer Transient Characteristics in High-Voltage Transmission System

The transient characteristics of the current transformer and its evaluation method are the key factors affecting the protection device, system security, and stability. Therefore, to verify and evaluate the rise time, maximum overshoot, transient delay, and periodic stability of the DC transformer, a DC transformer calibration system is proposed. Based on the calibration system, the index basis of transformer evaluation is obtained, and the evaluation method of DC transformer characteristics based on grey theory is proposed. Finally, through the transient performance test, the transient characteristic parameters of the tested DC transformer are obtained, and its evaluation model is established. Through case analysis, the quantitative evaluation scores of different transformers are given. The method proposed in this paper has an important reference value in the field calibration of the DC transformer.

A Grey Multi-Level Evaluation of Industrial Park Ecology Based on a Coefficient of Variation-Attribute Hierarchy Model

China entered a new era, and the construction of an ecological civilization and green development has been raised to a new strategic height. As the lifeblood of the national economy, industrial parks significantly contribute to economic growth. However, they also generate significant pollution, damaging the ecological environment. It is urgent to ecologically transform traditional industrial parks. This requires identifying methods to correctly and objectively evaluate the ecological level of industrial parks, and provide ecological construction proposals for the government and industrial parks. In this study, the comprehensive evaluation weight was determined by introducing a variation coefficient and an Attribute Hierarchy Model (AHM). The ecological level of four representative eco-industrial parks was then quantitatively evaluated using a grey multi-level evaluation method. The ecological construction level of the four industrial parks was as follows. The Tianjin Economic-Technological Development Area (TEDA) was rated at a “very good” level; and the Suzhou industrial park, Dalian economic and technological development zone, and Fushun mining group were rated at a “good” level. Six dimensions were studied. Of these, policy management had the highest weight, and the total weight of policy management and economic development approached 50%. The result shows that industrial parks can attract innovative enterprises and talents through the policy guidance of local government to improve the level of green innovation technology and cleaner production technology. Then, the ecological level of the industrial parks will be improved. This study enriched the theory and practice of ecological evaluation of industrial parks and provided a reference for the ecological construction of traditional industrial parks.

Design of vehicle traffic information security risk evaluation index system based on grey evaluation method

The network security problem of vehicle traffic information system is becoming more and more prominent. In order to effectively defend the system, this paper conducts in-depth research on the network security of vehicle traffic information system and proposes an information security risk assessment system for vehicle traffic control center. Specifically, the vehicle traffic control center is divided into components, and the security attributes of each component of the vehicle traffic control center system are constructed. By studying the information interaction process between the vehicle traffic control center and other subsystems, the security attributes of each component are abstracted; Identify the risk value of the component based on the influence of the component’s security attribute on the risk assessment index, aiming to enhance the security defense capability of the vehicle traffic information system.

Safety evaluation of mine roof accident based on grey fuzzy comprehensive evaluation

By analyzing the risk assessment methods of roof accidents at home and abroad, this paper summarizes the research status of risk assessment in this area, and analyzes the significance of risk assessment of mine roof accidents. The risk identification of roadway collapse accident is carried out from four aspects -- human, material, environment, and management, and the risk evaluation index system is established, including human unsafe behavior, material unsafe state, management factors and environmental factors. On this basis, the weight of index set is determined by grey relation analysis, and the fuzzy comprehensive evaluation model is obtained by combining the fuzzy comprehensive evaluation method. Taking a coal mine as an example, this paper makes an empirical study of risk assessment and puts forward corresponding countermeasures according to the results of comprehensive assessment. The results show that the safety level of the mine is very safe, so it is feasible to use the grey fuzzy comprehensive evaluation method to evaluate the safety of the mine, which can provide reference for the same kind of mine.

Comprehensive evaluation of cloud services based on fuzzy grey method

Cloud-based applications have become more and more popular. However, it remains a big challenge to comprehensive evaluate the reliability and performance of cloud providers and services due to the reason that Cloud is extremely dynamic and uncertain, resources distributed, virtualised, and freedom of entry and exit. The grey theory is adapted to handle the problems of blurring and uncertainty. Therefore, based on the grey relational analysis and grey comprehensive evaluation method, this paper proposes a novel trust comprehensive evaluation method for cloud services, also a comprehensive user satisfaction evaluation method for the better selection of suitable providers. In addition, it discuss in detail the construction and calculation of the evaluation model by case study.

Grey Evaluation Method of Radar Equipment Supportability Based on G1

A comprehensive evaluation method combining grey system theory and order relation analysis (G1) is proposed to solve the problems of various and uncertain factors affecting the supportability of radar equipment. Firstly, according to the requirement of radar equipment supportability, the evaluation index system of radar equipment supportability is constructed. Secondly, order relation analysis (G1) is used to determine the weight coefficient of each evaluation index. Finally, the grey scale and whitening weight function are determined by expert scoring value and grading standard, and the guarantee grade of radar equipment is obtained by using grey evaluation model. The accuracy of this method is verified by an example, which provides a new idea for the supportability evaluation of radar equipment.

Synthetic Evaluation of Natural Gas Pipeline Operation Schemes Based on the Multi-level Grey Cluster Decision Method

In this paper, a multi-level grey cluster decision method is proposed for the synthetic evaluation of operation schemes of natural gas pipelines with inexact data and insufficient information. A four-level index system is built as the synthetic evaluation criterion, aiming in balancing transmission volume, economic profit, and safety of the pipeline. The analytic hierarchy process (AHP) method is applied to calculate the weights of indexes. In order to assess the pipeline’s operation schemes with multi-level index, the principle of AHP method and the conventional grey cluster decision method are incorporated into a new multi-level grey evaluation method. The essential procedures of the method are illustrated in details, including computations of the grey class, whitenization weight function, decision coefficient matrix, weighted normalized decision coefficient matrix and synthetic evaluation score. Finally, this method is applied to seven operation schemes of Se–Ning–Lan gas pipeline in China. The results demonstrate that synthetic prior order of each scheme is not dependent on any one evaluation index, but on the comprehensive performance of the transmission volume, economic profit and pipeline safety. The application proves that the pipeline’s operation schemes can be reasonably evaluated even if insufficient data are used. The achievement of this paper provides a new analytical method as well as a powerful tool for the synthetic evaluation of operation schemes for natural gas pipelines.

A risk evaluation model for channel navigation based on the gray-fuzzy theory

In view of the fuzziness and randomness of the safety evaluation of the channel navigation environment, a risk evaluation model of the channel navigation is established with the set-valued statistics and the gray theory. A safety evaluation index system of channel navigation consisting of first-level indexes for the natural environment, navigation conditions, and traffic environment as well as 12 s-level indexes were established on the basis of comprehensively analyzing factors influencing the safety of the channel navigation environment. The weight of each evaluation index is determined through the model utilizing the set-valued statistics; also, the evaluation sample matrix is determined to realize the initial construction of the environmental scenario of channel navigation; and the safety of the channel navigation environment is evaluated quantitatively with the gray fuzzy comprehensive evaluation method. Taking Guangdong inland channel as an example, the result shows that the safety evaluation method based on the set-valued statistics and the gray fuzzy theory features simple calculation as well as objective and accurate results, which is convenient for practical application.

Application of the Big Data Grey Relational Decision-Making Algorithm to the Evaluation of Resource Utilization in Higher Education

In this article, the authors apply the big grey relational decision-making algorithm to improve performance evaluation effectiveness of the higher educational resources utilization. First, they discuss the performance evaluation indexes in higher education. Second, they propose the big data grey relational decision algorithm. Third, they establish the mathematical models of entropy weight and grey evaluation method. Finally, the authors carry out an evaluation simulation analysis on four cities as researching objects. The results show that the big data grey relational decision-making algorithm is an effective method for evaluating the higher educational resource utilization.

Evaluating Brownfield Redevelopment using an Modified Multilevel Grey Method - A Case Study of Xi’an

A novel multiple criteria decision analysis (MCDA) method is designed for comparing and ranking resolution solutions to a brownfield redevelopment project. In particular, an MCDA technique called the modified multilevel grey evaluation method is developed using concepts from grey systems theory, entropy and the analytical hierarchical process (AHP). To obtain weights for the range of criteria and sub-criteria used to assess and compare the resolution solutions, results obtained using AHP and an entropy technique are combined. In order to reflect uncertainty in the evaluation scores of the resolutions according to the sub-criteria, a grey systems class is employed to appropriately transform the scores. Subsequently, the evaluation method for the resolutions along with the combined weights is used to rank the resolutions. To demonstrate how this new methodology can be conveniently used in practice and provide valuable insights for aiding decision making, it is applied to a brownfield site in Xi’an, China, created by a former chemical factory.