scholarly journals Emergency Situation Safety Evaluation of Marine Ship Collision Accident Based on Extension Cloud Model

2021 ◽  
Vol 9 (12) ◽  
pp. 1370
Author(s):  
Yiyang Zou ◽  
Yingjun Zhang ◽  
Zhihong Ma
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Emergency Situation ◽  
Indicator System ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Entropy Weight Method ◽  
Evaluation Indicator System ◽  
Weight Method

After collisions at sea, situation evaluation and analysis are very important to follow-up rescue operations. At present, there are few ways give weights in the current situational safety evaluation methods after collisions of marine ships. Most safety evaluation models ignore the blurred boundaries of evaluation grades. To solve these issues, this paper identifies the safety evaluation indicator system and evaluation standards, and establishes an after-collisions safety evaluation model of maritime ships based on the extension cloud theory. This model combines the extension cloud model, the analytic hierarchy process, the entropy weight method, and game theory. Using this model, the situation safety of two collisions was evaluated. The evaluation results reflect the effectiveness of the model. In order to ensure the safety of the lives and property of marine personnel, suggestions have been made to strengthen crew training, improve ship’s self-rescue ability at sea, and establish a complete marine emergency response rescue system.

Hubs Planning of Comprehensive Passenger Transportation Based on Fuzzy Entropy Weight Method

2012 ◽  
Vol 253-255 ◽  
pp. 1188-1194
Author(s):  
Shen E Xi
Keyword(s):  
Evaluation Model ◽  
Rapid Development ◽  
Indicator System ◽  
Fuzzy Entropy ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Traffic Demand ◽  
Forming Mechanism ◽  
Entropy Weight Method ◽  
Weight Method

With the rapid development of highway construction, quickly increasing passenger traffic demand, the importance of layout planning of highway passenger terminal is becoming more obvious. Based on analyzing the forming mechanism of a passenger transport hub, an evaluation indicator system was established for a comprehensive transport hub from the perspectives of transport demand and supply. For overcoming the subjectivity, entropy theory was applied to determine the various indicator weights with fuzzy evaluation model. Finally, the indicator system and fuzzy entropy weight method were applied in Jiangsu province as a case study.

scholarly journals Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation

Land ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 176 ◽  
Author(s):  
Yanwei Zhang ◽  
Hualin Xie
Keyword(s):  
Asset Allocation ◽  
Cloud Model ◽  
Living Environment ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Welfare Level ◽  
Entropy Weight Method ◽  
Household Assets ◽  
Weight Method ◽  
High Level

Based on research into the theory of household assets and the welfare of farmers, the Analytic Hierarchy Process (AHP)-entropy weight method and cloud model were used to study the welfare level of land-lost farmers’ households under the different livelihood assets of Taohuayi Village, Taohuasan Village and Taohuawu Village in Taohua Town, Nanchang City. The results show that (1) The comprehensive welfare level of asset-deficient farmers’ households is between the “bad” and “medium” levels and is closer to the “bad” level. The comprehensive welfare level of asset-balanced farmers’ households is between “general” and “good” and is closer to the “good” level. (2) Judging from the various functional activity indicators that affect the welfare of the land-lost farmers, after the asset-deficient farmers’ households lose their land, the welfare level of the family’s financial situation, social security, living environment, mental status, development opportunities, and political participation are generally at low to medium-low levels, and only living conditions are at medium-to-high levels. (3) The welfare level of the living environment of the asset-balanced farmers’ households is at a moderately low level, and the welfare of the remaining functional activities is at a medium to a medium-high level. We then propose corresponding policy recommendations. After losing land, it is necessary to implement a differentiated circulation guarantee and support policies to achieve targeted compensation and support for the land-lost farmers’ households to improve the welfare level of land-lost farmers’ households under different living asset allocation.

scholarly journals A Talent Cultivation Model for Improving the Innovation Ability of College Students in Scientific Research

2020 ◽  
Vol 15 (18) ◽  
pp. 151
Author(s):  
Yanming Qi ◽  
Jingui Wang
Keyword(s):  
College Students ◽  
Evaluation Model ◽  
Scientific Research ◽  
Training Model ◽  
Indicator System ◽  
Entropy Weight ◽  
Gray System Theory ◽  
Entropy Weight Method ◽  
Innovation Ability ◽  
Evaluation Indicator System

The innovation ability of college students in scientific research is constrained by multiple factors. What is worse, the current talent training model in colleges faces many defects. To solve these problems, this paper aims to develop a talent cultivation model that effectively enhances the innovation ability of college students in scientific research. Firstly, the problems with the current talent cultivation model were analyzed, and then the evaluation indicator system was improved for the innovation ability of college students in scientific research. Next, entropy weight method and gray system theory were integrated to create an evaluation model that quantifies the innovation ability of college students in scientific research. On this basis, several strategies were put forward to improve the said ability. The research results help to effectively enhance the innovation ability of college students in scientific research, and optimize the talent cultivation model in colleges and universities.

scholarly journals Model of credit rating of micro enterprise based on fuzzy integration

Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1831-1842
Author(s):  
Zhanjiang Li ◽  
Na Hou ◽  
Jinmei Su ◽  
Yuchun Liu
Keyword(s):  
Credit Rating ◽  
Evaluation Model ◽  
Indicator System ◽  
Combination Method ◽  
Entropy Weight ◽  
Integration Model ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Credit Data ◽  
Micro Enterprises

This paper selects credit data of 1688 micro enterprises in a certain commercial bank in China from 2013 to 2016 as empirical research objects. We use the combination method of t test and correlation analysis to construct credit rating indicator system, then use entropy weight method and fuzzy integration to construct credit evaluation model, and lastly divide credit rating of micro enterprises. The empirical results indicate three main points. Firstly, final constructed indicator system can significantly discriminate credit state and avoid information overlapping, and curve ROC proves credit rating indicator system is effective. Secondly, we use entropy weight method to weight indicators objectively, and evaluate credit state comprehensively based on fuzzy integration model. At last, credit rating of micro enterprises proves that upper rating has minor default enterprises, and overall micro enterprises? credit state is basically on average credit level.

scholarly journals An Evaluation Model for The Impact of Climate Change on Regional Instability

2018 ◽  
Vol 175 ◽  
pp. 04022
Author(s):  
Jia-Yi Lie ◽  
Hong-Yu Duan ◽  
Dong Chen
Keyword(s):  
Climate Change ◽  
Evaluation Model ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Climate Change Impact Assessment ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Change Impact ◽  
The Impact ◽  
Hierarchy Process

The complication that climate change brings about has been an important issue in recent decades. In this paper, we attempt to find the inner connection between climate change and regional instability, and finally build a novel evaluation model about it. By innovatively utilizing Analytic Hierarchy Process and Entropy Weight Method combined, our model can produce a reliable climate change impact assessment. Empirical results on states of different stability provide strong evidence that our model possesses high feasibility and accuracy in practical use.

Application of Entropy-Weight Hierarchy Analysis on Study of Height Prediction of Water Conducted Zone

2013 ◽  
Vol 742 ◽  
pp. 497-500
Author(s):  
Meng Lin Xu ◽  
De Shen Zhao
Keyword(s):  
Analytic Hierarchy Process ◽  
Measurement Data ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Actual Measurement ◽  
Entropy Weight Method ◽  
Hierarchy Analysis ◽  
Height Prediction ◽  
Weight Method ◽  
Hierarchy Process

Based on actual measurement data in Da Ping as the samples,according to the experience, and ends with calculate every factors weight and height prediction of the water conducted zone by Matlab using the combination entropy-weight method and analytic hierarchy process. this paper introduces a comprehensive prediction model consisting of analytic hierarchy process and combination entropy-weight method. The method,overcoming weights imbalance,gives the evaluation result better than does the single analytic hierarchy process, it is a new valid method for scientific forecast on water conducted zone.

scholarly journals Social Force Model-Based Safety Evaluation of Intersections in Arterials Considering the Pedestrian Yield Rule

2021 ◽  
Vol 18 (23) ◽  
pp. 12461
Author(s):  
Jiao Yao ◽  
Yuhang Li ◽  
Jiaping He
Keyword(s):  
Evaluation Model ◽  
Safety Evaluation ◽  
Force Model ◽  
Social Force ◽  
Trajectory Data ◽  
Entropy Weight ◽  
Social Force Model ◽  
Entropy Weight Method ◽  
Safety Models ◽  
Pedestrian Crossing

To enhance the safety of pedestrians crossing the street, a series of new regulations regarding pedestrian yield has been proposed and widely implemented across cities. In this study, we first made some improvements to the social force model, in which pedestrian crossing at the intersection, drivers’ psychology of giving way, vehicle yield to pedestrians, vehicle yield in different directions, the influence of pedestrians crossing boundaries, and signal lamp groups on pedestrian behavior were considered. Furthermore, pedestrian crossing and vehicle yield safety models were established, based on which the comprehensive safety evaluation model of intersections in arterials was established, in which two indices—(1) the safety degree of pedestrian crossings and (2) vehicle acceleration interference—were combined with the entropy weight method. Finally, four types of intersections in arterials were studied using a simulation: the intersections between different levels of arterials, and intersections with one-time and two-times pedestrian crossings. Moreover, safety evaluation and analysis of those intersections, considering the rule of pedestrian yield, were conducted combined with the trajectory data from the VISSIM simulation. The relevant results showed that for pedestrians crossing the street, the pedestrian safety of two-time crossing is significantly higher than that of one-time crossing, and compared with the arterial, the pedestrian crossing distance of the sub-arterial is shorter, and the pedestrian perception is safer. Moreover, due to the herd psychology effect, the increase in pedestrian flow volume improves the safety perception of pedestrians at the intersection.

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