scholarly journals Research on Recognition and Evaluation of Traffic Guide Sign

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Li Yuan ◽  
Ming-jie Cai ◽  
Tang-yi Guo ◽  
Yu Jiang
Keyword(s):  
Evaluation Model ◽  
Influence Factors ◽  
Analytic Hierarchy ◽  
Convenience Sample ◽  
Second Stage ◽  
Sign Recognition ◽  
Character Size ◽  
Nanjing City ◽  
Hierarchy Process ◽  
Comprehensive Score

Traffic guide signs are effective only when they are clearly recognized by drivers. Three experiments were conducted in this study. In the first, the influence factors of guide sign recognition were studied. This study investigated 11 main factors with a convenience sample of drivers from Nanjing city in China. Weights of different influence factors were obtained through analytic hierarchy process (AHP). The results showed that the setting position, occlusion degree, and character size of guide sign had the most significant influence on the guide sign recognition, while other factors were less important. In the second stage, an evaluation model of guide sign recognition was developed based on weights of different factors. Four equations were presented to calculate the comprehensive score of guide sign, and the level of recognition was divided into five grades according to the comprehensive score. At last, a typical case in Nanjing was studied to verify the rationality and reliability of the evaluation model. Results from the real application indicate that the method had good applicability and can be used by traffic engineers.

scholarly journals A three-system approach that integrates DEA, BSC, and AHP for museum evaluation

2020 ◽  
Vol 43 (2) ◽  
pp. 413-441
Author(s):  
Antonella Basso ◽  
Stefania Funari
Keyword(s):  
Balanced Scorecard ◽  
Performance Indicator ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Second Stage ◽  
Performance Evaluation Model ◽  
Museum Evaluation ◽  
Hierarchy Process

AbstractThis paper proposes to measure the museums performance with a model that combines the Data Envelopment Analysis (DEA) and Balanced Scorecard (BSC) methodologies with a third method, the analytic hierarchy process (AHP), which is often used to support decision making. Starting from the two-stage DEA–BSC model of Basso et al. (Omega Int J Manag Sci 81:67–84, 2018), which integrates DEA and BSC, we explore the advantages to consider also the AHP methodology, with the aim to include the judgement of some museums’ experts on the relative importance of the BSC perspectives in the performance evaluation model. A first approach uses directly the AHP priorities derived from the judgements expressed by the museums’ experts interviewed to determine the weights to aggregate the four BSC performance scores into an overall performance indicator. A second approach uses the judgments of the museums’ experts indirectly to introduce proper restrictions on the output weights of the second-stage DEA model. With this approach, we overcome the problem arising from the dispersion of the preferences within the group of experts, that may heavily affects the first approach. Both approaches proposed in this contribution are applied to the case study of the municipal museums of Venice.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network

2014 ◽  
Vol 4 (2) ◽  
pp. 195-206 ◽  
Author(s):  
Ruiting Xu ◽  
Zhigeng Fang ◽  
Jinyu Sun
Keyword(s):  
Evaluation Model ◽  
Estimation Method ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Complex Products ◽  
Reasonable Approach ◽  
Estimate Quality ◽  
Grey Number ◽  
Hierarchy Process

Purpose – The purpose of this paper is to find out a scientific method to evaluate quality of complex products, whose quality is different from general products. Design/methodology/approach – Based on interval grey number theory, reliability analysis method and stochastic network theory, authors have established grey success tree analysis-graph evaluation and review technique (GSTA-GERT) model in this paper. Findings – Comparing complex products and general products, authors have found that complex products have two characters, i.e. quality of manufacture and quality of service. Furthermore, this paper has proved the GSTA-GERT model is a scientific and reasonable approach to estimate quality of complex products from the sight of manufacture-service network. Originality/value – This paper has established GSTA-GERT model, which surmounts the defect of traditional estimation method, such as lacking logic analysis in the method of analytic hierarchy process.

Decision Evaluation of Harbin Metro Based on Fuzzy Theory

2013 ◽  
Vol 438-439 ◽  
pp. 1024-1027
Author(s):  
Xiao Guo Chen
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Decision Makers ◽  
Geological Environment ◽  
Analytic Hierarchy ◽  
Comprehensive Evaluation Model ◽  
Hierarchy Process ◽  
Weight Coefficients

The paper introduces some information about Harbin Metro line 1, makes the decision analysis on economies, environment, society and geological environment of Harbin Metro line 1 by some fuzzy comprehensive evaluation model, and gives the weight coefficients of indicators through analytic hierarchy process. The comprehensive evaluation result provides the basis for decision-makers during decision of metro projects.

Evaluation Model to Exterior Wall Assemblies

2014 ◽  
Vol 1065-1069 ◽  
pp. 1626-1633
Author(s):  
Xiang Lei Hu ◽  
Sheng Cai Li ◽  
Hong Liang Yan ◽  
Gang Meng
Keyword(s):  
Evaluation Model ◽  
Evaluation Process ◽  
Value Engineering ◽  
Exterior Wall ◽  
Analytic Hierarchy ◽  
Qualitative And Quantitative ◽  
Quantitative Analyses ◽  
Code Changes ◽  
Wall Construction ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) method presented in this paper is used to analyze three representative exterior wall assemblies from the perspective of manufacturers, designers, and consumers. Considering technical, economic, social, and environmental factors, a model and subsequent indicators were developed for qualitative and quantitative analyses. The approach discussed in this paper originated as a response to recent building code changes in China, and the need for value-engineers to better understand a set of newly developed wall construction assemblies in a way that minimizes subjective errors in the value-engineering evaluation process.

Sign in / Sign up

Export Citation Format

Share Document