Research on Dichotomy Model Evaluation Method of Weighted Comprehensive Indexes

2012 ◽  
Vol 482-484 ◽  
pp. 2297-2300
Author(s):  
Ni Zhao ◽  
Juan Mei Zhang

It is an important link for supporting business operations and decision-making to select optimal model from multiple models. Based on the analysis on traditional dichotomy model evaluation methods, the paper presented a kind of method to evaluate model performance that consider multiple individual evaluation indexes to compute comprehensive index ranking score. The method solves the problem of difficulty for modeling personnel when using multiple traditional evaluation indexes to evaluate a group model that different conclusion caused by different methods. The evaluation example based on the method shows that the weighted comprehensive index based evaluation method is of reference value for the optimal selection of dichotomy model.

CONVERTER ◽  
2021 ◽  
pp. 118-128
Author(s):  
Min Liu, Et al.

Centroid method is used to study siteselection forWeihai Port International Logistics Center, then relevant index system is built based on the factors influencing site selection.Fuzzy comprehensive evaluation method is used to score several locations in Weihai City so that the optimal location can be selected via comparison. The research conclusions have a certain reference value for the site selection of Weihai comprehensive international logistics distribution center, which carries positive significance for the development of international logistics industry in Weihai Port and the urban area.


CONVERTER ◽  
2021 ◽  
pp. 647-657
Author(s):  
Weiwei Zhu

Based on the basic-element expression method and correlation function theory in Extenics, combined with the knowledge of slope engineering, a method for evaluating the stability of complex slope is proposed. The evaluation process includes the selection of suitable evaluation indexes of slope stability, identificationof the classification standard for the slope stability, identificationof the weights of evaluation indexes by using the improved analytic hierarchy process,identificationof the classical domain, node domain and matter-element under evaluation,the calculation of the correlation of each stability class for each evaluation index, normalization of correlation,and so on. The selection rule of the slop stability evaluation indexes and selection of correlation function and optimal points are also discussed, which can provide reference for slope engineering designin construction industry.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jun Zhao ◽  
Xumei Chen

An intelligent evaluation method is presented to analyze the competitiveness of airlines. From the perspective of safety, service, and normality, we establish the competitiveness indexes of traffic rights and the standard sample base. The self-organizing mapping (SOM) neural network is utilized to self-organize and self-learn the samples in the state of no supervision and prior knowledge. The training steps of high convergence speed and high clustering accuracy are determined based on the multistep setting. The typical airlines index data are utilized to verify the effect of the self-organizing mapping neural network on the airline competitiveness analysis. The simulation results show that the self-organizing mapping neural network can accurately and effectively classify and evaluate the competitiveness of airlines, and the results have important reference value for the allocation of traffic rights resources.


Author(s):  
Hao Xu ◽  
Liuxin Chen ◽  
Qiongfang Li ◽  
Jianchao Yang

Due to the continuous changes of political environment, consumption habits, technological progress and other factors, the external environment of enterprises is full of uncertainty. The turbulence of external environment is not conducive to the long-term operation and development of enterprises, but also brings great challenges to the selection of suppliers. This makes the competition of enterprises focus on how to choose long-term cooperation suppliers in the uncertain external environment. In addition, due to the deterioration of the global environment, governments pay more and more attention to environmental pollution, and consumers are more and more inclined to green consumption, which makes many companies pay more and more attention to environmental indicators when selecting suppliers. In the case of external environment turbulence and serious environmental pollution, the evaluation and selection of green suppliers in uncertain environment is particularly important for the long-term development of enterprises. What’s more, when the supplier’s capability gap is small, the decision-maker often hesitates among several suppliers. In this paper, the hesitant fuzzy is used to describe the hesitant psychology of decision-makers in selecting suppliers, the variance fluctuation is used to describe the characteristics of hesitant fuzzy numbers, and the probability is used to measure the uncertainty of the environment. A green supplier evaluation model under the uncertainty environment is proposed, which comprehensively evaluates the green suppliers under the uncertain environment. Furthermore, it is compared with other methods that do not consider the uncertainty and the adaptability of evaluation method and right confirmation method, so as to reflect the influence of uncertainty to green supplier evaluation and the importance of adaptability of evaluation method and right confirmation method.


2014 ◽  
Vol 672-674 ◽  
pp. 1441-1446 ◽  
Author(s):  
Yu Qiang Ou ◽  
Le Feng Cheng ◽  
Jian Zhong Wen ◽  
Xuan Yu Qiu ◽  
Tao Yu

Research on reliability of distribution network has very important meaning and function to ensure the quality of power supply. This paper introduces some basic concepts of reliability in distribution network, including distribution network reliability definition, task and index. The classical reliability evaluation method was reviewed, and focused on specific distribution network, an example analysis was given, and specific reliability evaluation indexes were calculated. Finally, the future development of distribution network reliability evaluation was made a simple prospect.


2012 ◽  
Vol 18 (4) ◽  
pp. 696-710 ◽  
Author(s):  
Peide Liu ◽  
Xingying Wu

According to the characteristics of human resources managers’ competency and the research of relevant literatures at home and abroad, a competency evaluation method of human resources managers based on multi-granularity linguistic variables and VIKOR method is proposed. Firstly, the evaluation indicator system based on the competency of human resources managers is constructed. Then, by converting the evaluation information of different experts in different granularity to the same granularity by two-semantics, the comprehensive evaluation values can be obtained by integrating information of different experts. Further, the objective weights of the evaluation indexes were determined by the entropy method and an evaluation method were proposed based on the VIKOR method. Finally, an application example is given to illustrate the evaluation procedures of the developed approach and to demonstrate their practicality and effectiveness.


2017 ◽  
Vol 10 (3) ◽  
pp. 76
Author(s):  
Aliasghar Mashinchi ◽  
Seyed Ahmad Hashemi ◽  
Kamran Mohammad Khani

Today country success in economic, social, political, cultural tendencies etc. … is approved to be the hostages and pawns of coherent and dynamic didactic system. The education and didactic programs for qualification improvement and dynamism need to quantitatively and qualitatively evaluation and scrutiny. Current study started with the goal of presenting faculty competency evaluation for the reason of qualitative improvement of Islamic Azad University. Research in terms of to the way of collecting and compiling the details descriptive- survey and in terms of the goal and target type is so practical that by conducting general scrutiny in literature and subject history and past, we drawn the theoretical frame and conceptual model in this study. Nominee educational members’ opinions faculty members (self-assessment), supervisors (superiors), students of (clients) Fars province different Islamic Azad Universities are as the research society. In this research, with researcher evaluation in 24 active units in Fars province, approximately 125000 persons were examined. That sample volume was selected equal to 380 persons by using the clustered random sampling method (Krejcie and Morgan formulas). For collecting data, we used a researcher-made questionnaire whose validity was confirmed by the specialists and its stability was calculated by using the Cronbach’s alpha method equal to 0.84. Researcher-made questionnaire includes effective component in competency in five general axes for collecting the data. Then, with using 360-degree evaluation method, it was executed. For the data analysis, we used the descriptive statistic method and elicitation statistic (fact oral analysis, Wilcoxon and Friedman) and the results of the study are as follows: 1. drawing the model of competency evaluation of faculty (main dimension of evaluation indexes of faculty competencies), and 2. In the field of evaluation of the current situation from the dimensions and competence skill parameters, the ethical values, role, personal, and favorable statuses are evaluated. But in the performance and functional dimensions, and its subcomponents unfavorable status and lower than average level evaluated and the results of ranking of evaluation of dimensions of competencies of faculty in order to select the most priority is related to skill dimension, and the least priority is related to the functional and performance dimensions.


2010 ◽  
Vol 163-167 ◽  
pp. 3110-3113
Author(s):  
Zheng Xi Gong ◽  
Jian Guo Yang

Reliability analysis is the premise for reinforcement and maintenance of an existing highway tunnel. In order to understand the structure reliability of an existing highway tunnel, a fuzzy mat-ter-element evaluation method was put forward based on entropy weight according to the fuzzy matter-element analysis method. Firstly, levels of inspection results were regarded as objects of matter-element and composite fuzzy matter-elements were constructed considering such factors and their evaluation indexes as cracks of concrete lining, lining thickness, concrete strength, cavities behind the lining and water leakage conditions. Secondly, reliability evaluation results of the existing tunnel structure were obtained by calculating the relevancy. Lastly, fuzzy matter-element evaluation model was effectively used to evaluate reliability of one highway tunnel structure.


2011 ◽  
Vol 328-330 ◽  
pp. 2440-2445
Author(s):  
Yong Jie Zhou ◽  
Nan Fang Cui

It’s important to control telecom equipment maintenance outsourcers’ performance in outsourcing decision-making process by selecting the proper evaluation indexes. This paper sets up a new comprehensive evaluation method based on statistics distance with weight to assess outsourcer’s performance. Ten indexes are choosed to determine which are good service providers from the ability and effort degree of their work, including failure rate, failure loss, service level, maintenance price, management fee, arrive time, repair time, customer relationship, maintenance engineer and tool machine. Each index has its own expert’s weight. We classify different service grades and calculate the real distance of every maintenance outsourcer by Euclidean distance. Then the performance of each equipment maintenance outsourcer can be inspected from the calculation result. Through the application in telecom company we testify its advantages compared with other evaluation methods.


2021 ◽  
Vol 4 (3) ◽  
pp. 251524592110268
Author(s):  
Roberta Rocca ◽  
Tal Yarkoni

Consensus on standards for evaluating models and theories is an integral part of every science. Nonetheless, in psychology, relatively little focus has been placed on defining reliable communal metrics to assess model performance. Evaluation practices are often idiosyncratic and are affected by a number of shortcomings (e.g., failure to assess models’ ability to generalize to unseen data) that make it difficult to discriminate between good and bad models. Drawing inspiration from fields such as machine learning and statistical genetics, we argue in favor of introducing common benchmarks as a means of overcoming the lack of reliable model evaluation criteria currently observed in psychology. We discuss a number of principles benchmarks should satisfy to achieve maximal utility, identify concrete steps the community could take to promote the development of such benchmarks, and address a number of potential pitfalls and concerns that may arise in the course of implementation. We argue that reaching consensus on common evaluation benchmarks will foster cumulative progress in psychology and encourage researchers to place heavier emphasis on the practical utility of scientific models.


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