Weights Of Evaluation Factors Research Articles

Reliability analysis of subway sliding plug doors based on improved FMECA and Weibull distribution

Using traditional FMECA to analyze the hazard of subway sliding plug door system, there are problems such as easy-to-take repetitive values, irrational allocation of expert's weights, and failure to consider the weights of evaluation factors. Hence, this paper proposes to improve FMECA by using linear interpolation to increase the differentiation of the same fault probability occurrence among various fault modes. Apply the DUOWA to dynamically assign weights to different experts. The AHP is used to endow weights to diverse evaluation factors to make them more suitable for engineering needs. The operation records of metro trains were collected from the Shanghai subway manufacturing plant for 1836 days. The hazards of the 17 common faults of the door were first analyzed using an improved FMECA,the EDCU is the component most prone to failure. Next, use a RCM strategy to determine maintenance periods for different faults. Finally, through the Weibull distribution fitting test, the fault rate function of the door is obtained, and the RUL of the door is predicted.

Comprehensive Evaluation of Adaptability Zoning for Shallow Geothermal Energy Development and Utilization: Case of Nantong City, East Coast of China

The development of green energy sources, such as shallow geothermal energy, is one of the most important measures to reduce the environmental pollution caused by the use of traditional energy sources. At present, coastal cities in the east of the Yangtze River Delta, China, have favorable conditions for the development of shallow geothermal energy because of their abundant geothermal resources. However, the development and utilization of shallow geothermal energy are still in their infancy, and adaptability zoning is yet to be fully carried out. The study area is Nantong City, which is in the eastern coast of the Yangtze River Delta. A comprehensive analysis of the conditions of shallow geothermal energy is carried out based on the analysis of the regional geological, hydrogeological, and environmental geological conditions. The adaptability zoning index system of the groundwater source heat pump and buried pipe ground source heat pump system is then constructed, and the weight of evaluation factors is determined according to analytic hierarchy process. Finally, the adaptability zoning of shallow geothermal energy development and utilization mode is obtained by using the spatial analysis function of geographic information. The results showed that the areas with good suitability and better suitability account for 98.24% of the study area and those with good economy and better economy account for 99.67% of the study area. This method can provide reference suggestions for the orderly development and sustainable utilization of shallow geothermal energy in coastal cities in plain areas.

Prediction of Tunnel Earthquake Damage Based on a Combination Weighting Analysis Method

To reduce or evaluate the damage of tunnels in seismically active areas when earthquakes happen, it is very important to quickly predict the tunnel damage. This study proposes an anti-entropy–fuzzy analytic hierarchy process (FAHP) combination weighting method for tunnel earthquake damage prediction. The tunnel cross section is a symmetrical structure. The method uses tunnel damage data from the tunnels in a region where earthquake disasters have occurred as sample data to calculate the standard earthquake damage index. The weights of evaluation factors are determined by combining the FAHP and anti-entropy weighting. The correction coefficient of each evaluation factor is obtained by considering the degree of each evaluation factor’s influence on the average damage index. Then, the earthquake damage and the corresponding damage degree of each tunnel are obtained by weighting calculation. In this study, 55 tunnels in the Wenchuan earthquake-affected area are taken as analysis cases. In these cases, 45 cases of damage tunnels are used as sample data, and 10 random tunnels are used as training cases. The calculated results are compared with the observed results. The proposed method is confirmed simple and easy to implement, which can greatly reduce the workload of field investigation, calculation and analysis. The results is of great significance to the rapid earthquake emergency assessment and post earthquake recovery of tunnels.

Comparative Evaluation of Geological Heritage Landscapes in Dali-Cangshan Global Geopark

Cangshan Glacier is one of the southernmost mountains in the Northern Hemisphere (Asian Continent) during the last Quaternary glaciation, and is a standard area with well-preserved and abundant traces of Quaternary Dali glaciation. In this study, the geological heritage resources of Cangshan Mountain are evaluated in terms of condition indicator and value indicator. Through the determination of quantitative evaluation indicators and evaluation factor weights of geological heritage landscapes, the geological heritage resources of Cangshan Mountain are identified and classified. The results show that there are two world-class geological heritage landscapes, 14 national geological heritage landscapes, 54 provincial geological heritage landscapes and 55 geological relic landscapes below the provincial level in the park. Cangshan Mountain’s geological heritage resources are compared with glacial heritage resources, Quaternary glaciation resources and tectonic geomorphic heritage resources both at home and abroad, so as to form a complete evaluation of the geological heritage landscape resources of Cangshan Mountain.

Suitability Evaluation of Tea Cultivation Using Machine Learning Technique at Town and Village Scales

Suitability evaluation of tea cultivation is very important for improving the yield and quality of tea, which can avoid blind expansion and achieve sustainable development; however, to date, relevant research at town and village scales is lacking. This study selected Xinming Township in Huangshan City, Anhui Province, as the study area, which is the main production area of Taiping Houkui Tea—one of the ten most famous teas in China. We proposed a machine learning-based tea cultivation suitability evaluation model by comparing logistic regression (LR), extreme gradient boosting (XGBoost), adaptive boosting (AdaBoost), gradient boosting decision tree (GBDT), random forest (RF), Gaussian Naïve Bayes (GNB), and multilayer perceptron (MLP) to calculate the weight accuracy of the evaluation factors. We then selected 12 factors, including climate, soil, terrain, and ecological economy factors, using the RF with the highest accuracy to calculate the evaluation factor weights and obtained the suitability evaluation results. The results show that the highly suitable area, moderately suitable area, generally suitable area, and unsuitable area land categories for tea cultivation were 14.13%, 27.25%, 32.46%, and 26.16%, respectively. Combined with field research, the highly suitable areas were mainly distributed in northwest Xinming Town, which is in line with the distribution of tea cultivation at the Xinming township level. The results provide a scientific reference to support land allocation decisions for tea cultivation and sustainable green agricultural development at the town and village scales.

User experience evaluation of intelligent sports bracelet based on multi-factor fusion

In order to overcome the problems of the traditional methods, such as the low accuracy of calculating the weight of evaluation factors, the high error rate of evaluation and the long output time of evaluation results, a user experience evaluation method based on multi-factor fusion was proposed. Building intelligent motion bracelet user experience evaluation system, determine various evaluation factors relative to the membership degree of evaluation factor set, to construct judgment matrix, get the weights of preliminary results, the weighting results are consistency check, get the final weight calculation results, and the multi-factor fusion method was used to construct intelligent motion bracelet user experience evaluation model, get the final user experience evaluation result. Experimental results show that the calculation accuracy of the weight of evaluation factors is more than 94%, the error rate of evaluation varies from 0 to 2%, and the average output time of evaluation results is 0.62 s.

Assessment of Soil Environment Pollution Based on Fuzzy Pattern Recognition Model

As one of the basic elements of the ecosystem and natural environment, the soil is closely related to human life. However, the problem of soil environment pollution is becoming more and more serious, which needs to be solved urgently. It will provide a reference for solving the problem of soil environment pollution if a suitable method can be found to evaluate the degree of soil environment pollution. The degree of soil environment pollution belongs to the fuzzy concept. It is a fuzzy pattern recognition problem to evaluate the degree of soil environment pollution according to the soil environment level standard value. The fuzzy pattern recognition method of soil environment pollution assessment makes full use of the fuzzy characteristics existing in soil environment assessment, considers the common influence of the weight of evaluation factors and the index value, and also considers the correlation between indexes and the similarity of index characteristics of different sampling points, therefore, the interference of some man-made certain factors is concealed. The model was applied to the soil sampling point in Wudi County of Shandong Province in the Yellow River basin of China. The results showed that the evaluation of soil environment pollution by this method accorded with the actual situation and can provide a basis for ensuring the stability of soil ecological environment, improving the quality of cultivated land, and improving regional ecological conditions. At the same time, in view of the current problem of soil environment pollution, the paper calls on human beings to pay attention to environmental protection and be responsible for their own safety and also proposes four aspects of treatment schemes and measures.

A study of the evaluation of geo-hazards development degree based on time-space coupling

The Geo-hazards comprehensive evaluation index system was established in the early stage of the team, and the number, the number density, the volume and the volume density, which reflect the spatial dimension, are used to evaluate the development degree of geo-hazards, excluding the evaluation factors reflecting the time dimension. In this paper, disaster years reflecting the time dimension are introduced to enrich the development degree evaluation system of geo-hazards. The median logarithmic method and probability density distribution are respectively used to processing data of disaster years and volume, and the entropy weight is used to determine the weight of evaluation factors. The evaluation models are established and the evaluation results are divided into four levels by the slope method, reflecting the development status of disasters. The geo-hazards occurred in China (excluding Hong Kong, Macao and Taiwan) from 2011 to 2020 are taken as examples, the development degree of geo-hazards (landslide, collapse and debris flow) is evaluated and divided according to this method. The results show that the geo-hazards high development areas cover 323 counties in total, involving 19 provinces, mainly occurring in most of Hunan, western and eastern Hubei, southeastern Jiangxi, eastern Guangdong, central and western Fujian, eastern Sichuan, northern Chongqing and southern Gansu. The sub-high development areas occupy 566 counties in total, involving 25 provinces, mainly occurring in most of Sichuan, western and southern Yunnan, southeastern Hunan, northern Hubei, most of Jiangxi and Guangdong, Guangxi, Fujian and Zhejiang, southwestern Guizhou, southern Shaanxi and eastern Jilin. The moderately development areas cover 623 counties in total, involving 30 provinces, mainly occurring in most of Xinjiang, Tibet, Gansu, Hebei, Shanxi and Henan. The low development areas occupy 1336 counties in total, involving 30 provinces, mainly occurring in Qinghai, most of Tibet, northern Gansu, Inner Mongolia, Heilongjiang, western Jilin and Liaoning, eastern and southern Hebei, Shandong, eastern Henan, central and northern Anhui and Jiangsu. When compared with the national disaster prevention deployment situation or the Geo-hazards distribution, the evaluation results are in good agreement with the reality. In addition, through field investigation, the evaluation results are more scientific and reasonable than before.

The Optimize of Tug Configuration Based on Fuzzy Comprehensive Evaluation and Entropy Weight Analysis

As ships increasingly become larger, the corresponding port facilities can’t meet the requirements of arriving ships. This paper will use fuzzy comprehensive evaluation and analytic hierarchy process to propose an optimization plan for the configuration of port tugboats. In order to obtain the optimal tugboat configuration plan, entropy weight method is introduced in the weight analysis of the original fuzzy comprehensive evaluation to confirm the weight of evaluation factors. The problem of partial subjectivity in the determination of factor weights in the existing fuzzy synthesis method is improved. The tugboat configuration proposed at the end of this article is consistent with the existing Qingdao Port tugboat configuration mode.

Vulnerability evaluation method of inland waterway revetment project subjected to wave and current

The flood damage of inland waterway revetment project has become one of the most serious disasters that affect the water transportation, municipal environment, human life and property safety. Scientific and reasonable evaluation of the vulnerability of waterway revetment eProject subjected to wave and current can effectively prevent and reduce disaster losses. According to the characteristics of multi factors and fuzziness in the vulnerability evaluation of waterway revetment project subjected to wave and current, a two-level fuzzy comprehensive evaluation mathematical model for vulnerability assessment is established by using fuzzy mathematics method. Based on the field investigation and observation data of the waterway revetment project in the middle and upper reaches of the Yangtze River and the relevant measurement of laboratory experiments, four main factors affecting the stability of the waterway revetment project, including design and construction, protective measures, wave-current characteristics and river waterway factors, are selected based on the establishment of vulnerability evaluation index system. Analytic hierarchy process (AHP) is used to determine the weight of evaluation factors and their sub factors, which improves the objectivity and scientificity of vulnerability assessment of waterway revetment project subjected to wave and current.

Group decision on the evaluation of outsourcing for information systems employing interval-valued hesitant fuzzy modeling

Organizations design procedures for information systems (ISs) management by outsourcing operations that could incorporate applications, assets, and other resources related to the IS-activities. This paper proposes a novel group decision-making approach in light of cooperative choice investigations under interval-valued hesitant fuzzy (IVHF)-uncertainty to evaluate IS-outsourcing candidates. The IVHFSs could help the IS-decision makers (DMs) by appointing interval-valued membership degrees for IS-outsourcing' exercises among the conflict factors by regarding a set to the margin of errors. For a reason, preferences judgments of IS-experts are communicated by linguistic terms, which they are changed over to IVHF-elements. In the proposed model, the weights of evaluation factors or criteria and experts are figured in light of IVHF-preference evaluation technique and IVHF-utility degree strategy. Then, criteria and IS-DMs' weights are given in the method of proposed assessing and ranking approach to decrease the errors. Furthermore, the judgments are amassed in the last step of the presented model to prevent the loss of information. At last, the proposed IVHF-group decision model is implemented to a case study to demonstrate its suitability along with comparative analysis from different aspects.

Evaluation of the old residential area modification by applying improved fuzzy comprehensive evaluation

In order to make a global assessment on the modification effect of existing old residential areas in hot summer and warmer winter zone, an improved fuzzy comprehensive evaluation (FCE) model of old residential building modification is established based on the aspects of structural safety and architectural appearance, indoor comfort system, outdoor environment, public service facilities, building equipment efficiency and operation management, etc. Analytic hierarchy process is used to determine the weights of evaluation factors at all levels. And the model is used to evaluate the modification effect of the old residential buildings in Xiamen city. The evaluation result shows feasibility of this modification method on the old residential building. The evaluation grade of this area’s modification can be assessed as “Good”, which can provide a reference for the modification of the old residential areas with hot summer and warm winter. Measures, such as increasing government financial input, institutionalized ways to tracking energy consumption, popularization of energy-saving awareness, should be taken for the modification.

Subgrade Stability Evaluation in Permafrost Regions Based on Unascertained Measurement Model

With regard to the complex and changeable engineering properties of subgrade in the permafrost regions, a stability-evaluating and order-arranging model of subgrade in permafrost regions is established based on the unascertained measurement theory. Subgrades of Qinghai–Tibet Railway in permafrost regions is taken as examples in view of the unique geological environment conditions. Twelve factors, which influence the subgrade stability, are selected as the evaluation indexes and analyzed qualitatively and quantitatively. The grading standard and stability evaluation index system are constructed. Entropy theory is used to calculate the index weights of evaluation factors, and the stability grade of five typical sections in permafrost regions is judged by credible degree recognition criterion. Meanwhile, the stability of permafrost subgrade is sorted according to evaluation sorting values. It is shown that the results offered by unascertained measurement model assessment are consistent with those by the fuzzy evaluation method. Furthermore, the proposed method can take into account the unascertained information in stability evaluation, which provides an effective method for the subgrade stability evaluation in permafrost regions.

Application on Floor Water Inrush Evaluation Based on AHP Variation Coefficient Method with GIS

The prediction and prevention of floor water inrush is directly related to the safety of the coal mine production. The previous evaluation method of floor water inrush was more one-sided and lacked main control factors related to mining conditions. In order to evaluate the floor water inrush more accurately, under the project background of geological data of Wanglou coal mine, stope width, mining depth, fault scale index, water pressure, water abundance and thickness of aquifer were selected as main controlling factors of floor water inrush. Combined with the subjective weight analytical hierarchy process and the objective weight variation coefficient method, the weight coefficients corresponding to the main controlling factors were obtained respectively. The thematic map of the risk assessment of coal seam floor water inrush was drawn by combining the constructed comprehensive weight vulnerability index model and geographic information system. The results show that: ① according to the actual geological data of mine, two fault related factors were removed. And stope width and mining depth were increased as the main controlling factors to evaluate floor water inrush. It is easier to compare and calculate the weight of evaluation factors. ② The constructed comprehensive weight vulnerability index model can comprehensively evaluate the risk of floor water inrush. And the results of the evaluation are more accurate. ③ The related thematic maps can directly reflect the risk of floor water inrush, which is of guiding significance for the prediction and prevention of coal seam floor water inrush.

AHP를 이용한 요인별ㆍ그룹별 어선감척 목표량 비교 분석

The aims of this study are to estimate and assign the weight of each evaluation factor using the AHP technique which considers not only the technical·socio-economic factors, but also the resource status of the fish stock in order to derive the optimal vessel reduction scales. In order to set the optimal level in Korea, a questionnaire survey was conducted by public officials, professors, researchers, and industry workers. According to the results of the questionnaire, the weight of evaluation factor to be set in the vessel reduction was given. In addition, we compared and analyzed the effect of weight difference of important factors by group. As a result, public officials, professors, and researchers took a high weight of biological factors, otherwise industry workers took a high weight of socio-economic factors. Also, the optimal vessel reduction scales reflecting only the fishing effort level based on the resource assessment were 3,874 vessels in coastal fishery, and 222 vessels in offshore fishery. On the other hand, the optimal vessel reduction scales considering the technical factors and socio-economic factors were 3,513 vessels in coastal fishery, and 203 vessels in offshore fishery. In the analysis by group, the optimal vessel reduction scales of industry workers were relatively lower than those of public officials, researchers and professors.

Fuzzy comprehensive evaluation model of interuniversity collaborative learning based on network

Abstract Learning evaluation is an effective method, which plays an important role in the network education evaluation system. But most of the current network learning evaluation methods still use traditional university education evaluation system, which do not take into account of web-based learning characteristics, and they are difficult to fit the rapid development of interuniversity collaborative learning based on network. Fuzzy comprehensive evaluation method is used to evaluate interuniversity collaborative learning based on the combination of fuzzy theory and analytic hierarchy process. Analytic hierarchy process is used to determine the weight of evaluation factors of each layer and to carry out the consistency check. According to the fuzzy comprehensive evaluation method, we establish interuniversity collaborative learning evaluation mathematical model. The proposed scheme provides a new thought for interuniversity collaborative learning evaluation based on network.

Research on C2C- to-B2C Transformation Based on the Fuzzy Comprehensive Evaluation Method

C2C-to-B2C transformation, as the inevitable development trend of the Chinese ecommerce, involves many uncertain indexes. The Paper adopts the quantitative and qualitative method to build the index system of the C2C-to-B2C transformation, confirms indexes playing the role in the transformation, and sorts out evaluation factor set and judgement set. And the Paper ensure the weight of evaluation factors by the analytic hierarchy process, confirms the membership degree of indexes to the judgement set baseed on the questionnaire survey, build the single-factor fuzzy judgement to do the comprehensive fuzzy judgement and analysis for each index, and then supply a constructive and instructive way for the transformation-seeking and in-transformation ecommerce.

A multidimension cloud model-based approach for water quality assessment

Lakes are vitally important, because they perform a multitude of functions, such as water supply, recreation, fishing, and habitat. However, eutrophication limits the ability of lakes to perform these functions. In order to reduce eutrophication, the first step is its evaluation. The process of evaluation entails randomness and fuzziness which must therefore be incorporated. This study proposes an eutrophication evaluation method, named Multidimension Normal Cloud Model (MNCM). The model regards each evaluation factor as a one-dimension attribute of MNCM, chooses reasonable parameters and determines the weights of evaluation factors by entropy. Thus, all factors of MNCM belonging to each eutrophication level are generated and the final eutrophication level is determined by the certainty degree. MNCM is then used to evaluate eutrophication of 12 typical lakes and reservoirs in China and its results are compared with those of the reference method, one-dimension normal cloud model, related weighted nutrition state index method, scoring method, and fuzzy comprehensive evaluation method. Results of MNCM are found to be consistent with the actual water status; hence, MNCM can be an effective evaluation tool. With respect to the former one-dimension normal cloud model, parameters of MNCM are improved without increasing its complexity. MNCM can directly determine the eutrophication level according to the degree of certainty and can determine the final degree of eutrophication; thus, it is more consistent with the complexity of water eutrophication evaluation.

A Study on The Pre-feasibility Assessment Using The AHP : Focusing on The Case of Public Project

Various methods have been used to solve the problem of the evaluation of the complex decision-making. In the case of public projects, used the AHP method to evaluate the pre-feasibility of the projects. In this paper, The pre-feasibility was referring to the 'General guidelines for the pre-feasibility' of the KDI and was used the AHP to evaluate for public projects of the H-city. In order to achieve this object, the structured hierarchical model and questionnaire developed based on the evaluation guidelines of the KDI. Also, the weight of evaluation factor was calculated based on the AHP method and was obtained the evaluation results for the project implementation alternative.

Analysis of the Ecological Sensitivity of Pengyang County Based on Key Factors

Through selecting key factors such as gradient, exposure, erosive channel, soil erosion and vegetation coverage, the paper establishes the factor index system for the evaluation of the ecological system of Pengyang County, determines the weight of evaluation factors, makes analysis on key ecological factors, sets up the comprehensive sensitivity evaluation model of the ecological system, and obtains the ecological sensitivity grade, area, and spatial distribution of the study area through GIS spatial analysis function, factor superposition method, and analytic hierarchy process. The findings are as follows: the zone extremely sensitive to the ecology covers 82956.47 hm, accounting for 32.98%. Landforms in the area usually include steep slopes with rich vegetation, and high ecological value, erosive channels, and zones affected by erosive channels, all of which are under the key protection; the zone moderately sensitive to the ecology cover 104613.69 hm, accounting for 41.59%. Landforms in the area usually include forestlands of gentle relief and diversified plants. A good many factors should be taken into consideration in the development of the areas; the zone slightly sensitive to the ecology covers 63965.53 hm, accounting for 25.43%. Landforms in the area are usually of low elevation and flat, mainly ordinary greenbelt with singular vegetation, sections with poor vegetation, and farmlands. The area is resistant to human disturbance and able to go through development and construction of the specific intensity. The lands can be developed for a variety of purposes, but attention should be paid to the development intensity.