scholarly journals Collaborative Content Downloading in VANETs with Fuzzy Comprehensive Evaluation

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 502 ◽  
Author(s):  
Tianyu Huang ◽  
Xijuan Guo ◽  
Yue Zhang ◽  
Zheng Chang
Keyword(s):  
Ad Hoc ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
System A ◽  
The Individual ◽  
Segment Data ◽  
And Storage ◽  
Basic Evaluation

Vehicle collaborative content downloading has become a hotspot in current vehicular ad-hoc network (VANET) research. However, in reality, the highly dynamic nature of VANET makes users lose resources easily, and the transmission of invalid segment data also wastes valuable bandwidth and storage of the users’ vehicles. In addition, the individual need of each customer vehicle should also be taken into consideration when selecting an agent vehicle for downloading. In this paper, a novel scheme is proposed for vehicle selection in the download of cooperative content from the Internet, by considering the basic evaluation information of the vehicle. To maximize the overall throughput of the system, a collaborative content downloading algorithm is proposed, which is based on fuzzy evaluation and a customer’s own expectations, in order to solve the problems of agent vehicle selection. With the premise of ensuring successful downloading and the selection preferences of customer vehicles, linear programming is used to optimize the distribution of agent vehicles and maximize customer’s satisfaction. Simulation results show that the proposed scheme works well in terms of average quality of service, average bandwidth efficiency, failure frequency, and average consumption.

scholarly journals Application of Fuzzy Evaluation in Comprehensive Quality Evaluation of Higher Education Students

2021 ◽  
Vol 16 (12) ◽  
pp. 201
Author(s):  
Wei Lu ◽  
Chunxu Jia ◽  
Jialin Zuo
Keyword(s):  
Higher Education ◽  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Education Students ◽  
Quality Of Higher Education

Scientific and reasonable evaluation of the comprehensive quality of higher education students provides a guarantee for the pertinent development of quality education in colleges, and offers an aid for students to determine goals and directions of development. Therefore, this paper first constructs an evaluation index system (EIS) for the comprehensive quality of higher education students, and then builds up an evaluation model for that quality based on fuzzy comprehensive evaluation (FCE). The FCE algorithm was designed in details, and applied to a real example. The application results show that the FCE can scientifically evaluate the comprehensive quality of the students from multiple aspects and levels. The research overcomes the difficulty in the comprehensive quality evaluation of college students, and enriches the theoretical and practical results in this field.

scholarly journals IMAGE QUALITY ASSESSMENT OF HIGH-RESOLUTION SATELLITE IMAGES WITH MTF-BASED FUZZY COMPREHENSIVE EVALUATION METHOD

2018 ◽  
Vol XLII-3 ◽  
pp. 1907-1914 ◽  
Author(s):  
Z. Wu ◽  
Z. Luo ◽  
Y. Zhang ◽  
F. Guo ◽  
L. He
Keyword(s):  
High Resolution ◽  
Image Quality ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Better Than

A Modulation Transfer Function (MTF)-based fuzzy comprehensive evaluation method was proposed in this paper for the purpose of evaluating high-resolution satellite image quality. To establish the factor set, two MTF features and seven radiant features were extracted from the knife-edge region of image patch, which included Nyquist, MTF0.5, entropy, peak signal to noise ratio (PSNR), average difference, edge intensity, average gradient, contrast and ground spatial distance (GSD). After analyzing the statistical distribution of above features, a fuzzy evaluation threshold table and fuzzy evaluation membership functions was established. The experiments for comprehensive quality assessment of different natural and artificial objects was done with GF2 image patches. The results showed that the calibration field image has the highest quality scores. The water image has closest image quality to the calibration field, quality of building image is a little poor than water image, but much higher than farmland image. In order to test the influence of different features on quality evaluation, the experiment with different weights were tested on GF2 and SPOT7 images. The results showed that different weights correspond different evaluating effectiveness. In the case of setting up the weights of edge features and GSD, the image quality of GF2 is better than SPOT7. However, when setting MTF and PSNR as main factor, the image quality of SPOT7 is better than GF2.

An Exploration of Provincial Low-Carbon Economy Evaluation System Based on Principal Component-Variable Fuzzy Evaluation

2013 ◽  
Vol 291-294 ◽  
pp. 1562-1567
Author(s):  
Ji Min Hu ◽  
Jian Long Gu ◽  
Chang Cui Hu ◽  
Hai Feng Wang
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Component Variable ◽  
The Status ◽  
Carbon Economy

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.

scholarly journals THE PROBLEMS AND COUNTERMEASURES OF BRINGING COLLEGE SPORTS RESOURCES INTO THE PUBLIC SERVICE SYSTEM OF NATIONAL FITNESS IN THE NEW ERA

2021 ◽  
Vol 27 (spe) ◽  
pp. 94-96
Author(s):  
Zhonglin Ma
Keyword(s):  
Public Service ◽  
Evaluation Method ◽  
Service System ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
New Era ◽  
The Public ◽  
Comprehensive Evaluation Method

ABSTRACT With the deepening of the national health program, the number of people participating in sports activities is increasing, and the problem of insufficient community sports resources is becoming more and more obvious. It is an effective way of solving the problem of injecting sports resources into the public service system of national fitness, but the process of integration of sports resources and public national fitness service is not smooth. Through expert consultation and a fuzzy comprehensive evaluation method, this study analyzed the current situation of university sports resources into the public service system of national fitness, and collected the evaluation of social fitness personnel on the opening of university resources by means of a questionnaire combined with experts' opinions, using a fuzzy comprehensive evaluation method to transform subjective and fuzzy evaluation into objective and specific evaluation points. The research shows that the current level of university sports resources into the public service system of national fitness is low, which shows that the sports resources sharing policy under the national fitness has not been well implemented. The study proposes that the level of sharing of sports resources can be strengthened by the awareness of sharing of sports resources by university leaders and improving the management system. This study is expected to represent a reference for the university sports resources into the public service system of national fitness in the new era.

Customer knowledge management competence evaluation of tourism enterprises based on ahp-fuzzy comprehensive evaluation method

2021 ◽  
pp. 1-13
Author(s):  
Guoyi Chen ◽  
Jiansheng Zhang ◽  
Shangmin Zhang ◽  
Bangquan Yan
Keyword(s):  
Knowledge Management ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Customer Knowledge ◽  
Customer Knowledge Management ◽  
Factors Influencing ◽  
Tourism Enterprises

With the fierce competition under the background of knowledge-based economy, tourism enterprises are increasingly aware that they must turn their focus from traditional products to customers for the sake of survival and development. Integrating the customer relationship management and knowledge management, the customer knowledge management (CKM) has aroused higher attention from the tourism enterprises. As for how to determine the factors influencing the Customer knowledge management competence (CKMC) of tourism enterprises and their weights, an index system was established for evaluating CKMC of tourism enterprises based on the balanced score card (BSC) and knowledge management process, the weight design and consistency check of the indexes were implemented using the analytic hierarchy process (AHP), and the overall evaluation value and concrete index scores at all levels were obtained via the fuzzy comprehensive evaluation model. In the end, the scientificity and operability of the evaluation model were verified through an empirical analysis of China Youth Travel Service (CYTS). The results show that: (1) The business process, customer communication, system support, and market performance are important level I indexes used to measure the CKMC; (2) The key Level II factors influencing the CKMC of enterprises include customer knowledge sharing mechanism, timeliness of customer communication, degree of importance attached by senior leadership, and customer acquisition rate; (3) The evaluation model based on AHP and fuzzy evaluation method can objectively describe the overall up-to-standard degree of enterprises’ CKMC, and clearly identify the strengths and weaknesses. This research shows that the combination of AHP and fuzzy evaluation-based method is capable of more scientific and complete evaluation of CKMC, compensates for the deficiencies of single evaluation model, and provides a new method for the effective improvement of enterprises’ CKMC.

scholarly journals Research on CBM of the Intelligent Substation SCADA System

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3892
Author(s):  
Jyh-Cherng Gu ◽  
Chun-Hung Liu ◽  
Kai-Ying Chou ◽  
Ming-Ta Yang
Keyword(s):  
Influencing Factors ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Entropy Method ◽  
Fuzzy Evaluation ◽  
Monitoring And Control ◽  
Analytic Hierarchy ◽  
Scada System ◽  
The Status

An equipment status management and maintenance platform of an intelligent substation monitoring and control system is built in the Tai-Tam substation of the Taipower company. The real-time operating status of the equipment, such as the server, supervisory control and data acquisition (SCADA) human–machine interface (HMI) software, switches, intelligent electronic devices (IEDs), merging units (MUs), as well as the entire SCADA system, are evaluated comprehensively. First, the status information of all equipment is collected, and the theory of relative deterioration degree (RDD) and fuzzy theory (FT) are applied to calculate the fuzzy evaluation matrix of the equipment influencing factors. Then, the subjective analytic hierarchy process (AHP) and the objective entropy method for weighting are combined to calculate the comprehensive weights of the equipment influencing factors. Finally, the result of the equipment status evaluation is obtained using the fuzzy comprehensive evaluation (FCE) method and is presented at the equipment status management and maintenance platform. Such equipment status evaluation results can be used by the inspection and maintenance personnel to determine the priority for equipment maintenance and repair. The result of this study may serve as a valuable reference to utility companies when making maintenance plans.

Comprehensive Evaluation Based on AHP-Fuzzy about the Conception of Underground Container Transportation Lines in Shanghai

2011 ◽  
Vol 71-78 ◽  
pp. 175-181 ◽  
Author(s):  
Cheng Zhang ◽  
Si Wei Wang
Keyword(s):  
Transport System ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Actual Situation ◽  
Container Transportation ◽  
Container Transport ◽  
System A ◽  
Transportation Capacity ◽  
Functional Orientation ◽  
Set Up

Through the research and analysis of Shanghai Port Container transportation capacity, we can see that the construction of underground container transport system is important to transfer Shanghai into an international hub. Combined the functional orientation of the concept program of underground container lines with the underground characteristics of the container transport system, a system of evaluation target has been set up. Sorted the concept lines by using AHP-Fuzzy comprehensive evaluation, the result can reflect the actual situation of concept lines objectively, and can also provide optimizational service for the concept program of underground container line.

scholarly journals Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

2018 ◽  
Vol 15 (144) ◽  
pp. 20180174 ◽  
Author(s):  
Sasikiran Kandula ◽  
Teresa Yamana ◽  
Sen Pei ◽  
Wan Yang ◽  
Haruka Morita ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Seasonal Influenza ◽  
Ad Hoc ◽  
Weighted Average ◽  
Surveillance Systems ◽  
Domain Experts ◽  
Influenza Activity ◽  
The Usa ◽  
The Individual

A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggests that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.

scholarly journals The Role of Adrenoceptors in the Retina

Cells ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2594
Author(s):  
Yue Ruan ◽  
Tobias Böhmer ◽  
Subao Jiang ◽  
Adrian Gericke
Keyword(s):  
Visual Information ◽  
Vision Loss ◽  
Retinal Diseases ◽  
System A ◽  
The Central Nervous System ◽  
The Individual ◽  
And Function ◽  
The Brain

The retina is a part of the central nervous system, a thin multilayer with neuronal lamination, responsible for detecting, preprocessing, and sending visual information to the brain. Many retinal diseases are characterized by hemodynamic perturbations and neurodegeneration leading to vision loss and reduced quality of life. Since catecholamines and respective bindings sites have been characterized in the retina, we systematically reviewed the literature with regard to retinal expression, distribution and function of alpha1 (α1)-, alpha2 (α2)-, and beta (β)-adrenoceptors (ARs). Moreover, we discuss the role of the individual adrenoceptors as targets for the treatment of retinal diseases.

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