scholarly journals A Study on Improving Disaster Management Evaluation Based on the PUFA Meta Evaluation Model

2020 ◽  
Vol 20 (1) ◽  
pp. 101-110
Author(s):  
Young Hee Kim ◽  
Soo Jun Kim ◽  
Ji Ho Lee
Keyword(s):  
Disaster Management ◽  
Local Governments ◽  
Evaluation System ◽  
Evaluation Model ◽  
Public Institutions ◽  
Evaluation Framework ◽  
Research Model ◽  
Point Scale ◽  
Management Evaluation ◽  
Disaster Assessment

This study aims to examine the problems of the DME (Disaster Management Evaluation) System, which has been implemented since 2005, using meta evaluation; it also aims topropose improvements. For this purpose, the research model was built on the four standards (propriety, utility, feasibility, accuracy) presented in the PUFA meta evaluation model. Checklist items corresponding to the PUFA model sub-components were then selected, and questionnaires were created using a Likert-style5-point scale for disaster assessment evaluators, central departments, local governments, and public institutions. Some of the results of thePUFA sub-components were statistically significant and proved to be a useful meta-evaluation framework for assessing the DME level. For evaluation performance, DME can only be improved if policy efforts to ensure the expertise of the evaluation department, credibility of the evaluator, and justification for the evaluation results are continued. From an evaluation indicators perspective, there is need for improvement ofthe capability-performance multi-dimensional evaluation system so that it can take into account the unique enforcement functions and regional characteristics of the evaluation target organization.

A Modular-Based Supplier Evaluation Framework: A Comprehensive Data Analysis of ANP Structure

2014 ◽  
Vol 13 (05) ◽  
pp. 883-916 ◽  
Author(s):  
Daji Ergu ◽  
Gang Kou ◽  
Jennifer Shang
Keyword(s):  
Sensitivity Analysis ◽  
Evaluation System ◽  
Missing Values ◽  
Evaluation Model ◽  
Questionnaire Design ◽  
Evaluation Framework ◽  
Design Matrix ◽  
Consistency Test ◽  
Rank Reversal ◽  
Network Process

The analytical network process (ANP) has been widely used to evaluate the suppliers, an important subject in supply chain management. We propose an integrated ANP-based evaluation model, which systematically examines six key decision-making modules. They are: questionnaire design, matrix classification, consistency test, inconsistency identification, uncertain or missing values estimation, and sensitivity analysis of rank reversal. Module 1 involves questionnaire design formats, and Module 2 classifies the collected data. Module 3 introduces the maximum eigenvalue threshold as a critical value for consistency test. The induced bias matrix model (IBMM) is employed in Modules 4 and 5 to identify the inconsistent elements and to estimate the uncertain or missing values. In Module 6, we extend the concept of the IBMM to check for rank reversal when a new alternative or criterion is added that perturbs the evaluation system. The case company in the healthcare device industry under study validates that the proposed method is effective. The integrated model not only improves the questionnaire design and simplifies the ANP consistency tests, but also effectively identifies the inconsistent elements and estimates the missing values. The innovative approach to sensitivity analysis is especially insightful and contributes to the understanding of rank reversal issue.

Evaluation of Regional Anti-Disaster Ability of Highway Natural Disasters

2012 ◽  
Vol 253-255 ◽  
pp. 1598-1604
Author(s):  
Hong Liang Qi ◽  
Wei Ping Tian ◽  
Jia Chun Li
Keyword(s):  
Natural Disasters ◽  
Disaster Management ◽  
Evaluation System ◽  
Social Economic ◽  
Evaluation Model ◽  
Disaster Prevention ◽  
Scoring Methods ◽  
Method Evaluation ◽  
Evaluation Indexes

In order to evaluate the regional anti-disaster ability of highway natural disasters, this paper analyzes affections of regional social economic, regional highway natural disasters management, and regional highway natural overview. We establish an evaluation system of regional anti-disaster ability of highway natural disasters based on our main indexes, which include the investment percentage of region GDP on regional disaster prevention, regional highway disaster management, and the quantity of disasters in per kilometer. Integrated score is used as the method for evaluating regional anti-disaster ability. Grading and scoring methods for the evaluation indexes are put forward. Based on the method, evaluation model and grading methods for regional anti-disaster ability of highway natural disasters are resolved.

scholarly journals Pre-Evaluation of Industrialization Project of Local Science and Technology Achievements Based on FAHP

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yongzhi Chang ◽  
Yu Hang ◽  
Tong Liang
Keyword(s):  
Index System ◽  
Local Governments ◽  
Evaluation System ◽  
Evaluation Model ◽  
Science And Technology ◽  
Economic Benefits ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Smart Manufacturing ◽  
Technical Performance

In order to build a scientific pre-evaluation system for the industrialization of local science and technology (sci-tech) achievements, based on the analysis of the characteristics and laws of the industrialization projects of sci-tech achievements, the pre-evaluation of the industrialization projects of sci-tech achievements at home and abroad, the importance of the pre-evaluation of the industrialization projects of local sci-tech achievements and the research methods, the pre-evaluation index system of industrialization projects of local sci-tech achievements has been established from six aspects: policy environment, technical performance, economic benefits, resource guarantee, organizational guarantee, and social benefits. The research took the smart manufacturing project in Xiqing District of Tianjin as the object of empirical analysis and applied the fuzzy analytic hierarchy process (FAHP) to comprehensively evaluate the project. The overall score of the smart manufacturing project was 87.639, and the evaluation result was good and in accordance with the actual situation. The feasibility and validity of the evaluation index system and the evaluation model are verified, the risks of economy and policy in the industrialization of sci-tech achievements are reduced, and the optimization rate of the industrialization project is improved, which provide a reliable basis for local governments to realize the industrialization of sci-tech achievements.

Using Eye-tracking and Deep Learning Approach to Promote Naturalness in Urban Landscape

2020 ◽  
Author(s):  
Yeshan Qiu ◽  
Yugang Chen ◽  
Shengquan Che
Keyword(s):  
Deep Learning ◽  
Eye Tracking ◽  
Bayesian Network ◽  
Evaluation System ◽  
Public Perception ◽  
Urban Landscape ◽  
Evaluation Model ◽  
Landscape Composition ◽  
Evaluation Framework ◽  
Aesthetic Evaluation

<p>Promoting greenness and naturalness has been the integral goal in nature-based solutions for urban environments. Design and building appreciated landscape for subjective public perception is a key factor in the success of promoting urban greenness and naturalness. The current measures of naturalness are siloed from public appreciation and acceptance of urban landscape designs. Our goal is to use state-of-art methods combining traditional design perception evaluation to embed naturalness with public landscape aesthetic perceptions evaluation system. A deep learning and eye-tracking based approach to understand public aesthetic perceptions of landscape street-view images is developed and applied to a case study of Shanghai. We use machine deep learning techniques to identify and assess landscape composition with landscape images and in-situ captured data to study the influence of naturalness of public perceptions of landscape based on a Bayesian network aesthetic evaluation model. The methodology extend the present landscape aesthetic evaluation framework and has the potential to be implemented to much wider applications. Our results indicate a co-conception of naturalness and public appreciation as a proof-of-concept of nature-based solutions.</p><p>Key words：Eye-tracking；Deep Learning；Naturalness；Public aesthetic perceptions；Bayesian network aesthetic evaluation</p>

Fuzzy Comprehensive Evaluation of Human Performance Management

2013 ◽  
Vol 756-759 ◽  
pp. 715-719
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Feng Li ◽  
Li Nan Shi
Keyword(s):  
Performance Management ◽  
Evaluation System ◽  
Human Performance ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Process ◽  
College Performance ◽  
Performance Evaluation System ◽  
Comprehensive Evaluation Model

In the College, performance evaluation system is directly related to the harmonious development of the school. Taking into account the factors in the evaluation system is fuzzy, so this paper uses fuzzy comprehensive evaluation model. But the model is too subjective, so this paper combines neural network and data envelopment analysis method, which ensures that fuzzy comprehensive evaluation model is reasonable and scientific, and good school development and teacher self-interest. The performance assessment process, not only enables the combination of qualitative and quantitative analysis, but also fair and reasonably reflect the achievements of teachers, while this method is easy to use, wide application, and can be well applied in practice.

Study on Civil Architecture Energy Conservation Efficiency Fuzzy Synthetic Evaluation

2011 ◽  
Vol 94-96 ◽  
pp. 2292-2296
Author(s):  
Yong Ping Wang ◽  
Pei Yang ◽  
Chun Quan Dai
Keyword(s):  
Energy Conservation ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Methodology ◽  
Efficiency Evaluation ◽  
Fuzzy Synthetic Evaluation ◽  
Conservation Efficiency ◽  
Synthetic Evaluation

Civil architecture energy conservation efficiency evaluation is a kind of multi-factors, multi-hierarchies and multi-criteria synthetic evaluation. Perfect civil architecture energy conservation efficiency evaluation indicators system and reasonably effective synthetic evaluation methodology are keys to do energy conservation efficiency synthetic evaluation. This paper is based on framing civil architecture energy conservation efficiency evaluation system, and uses fuzzy synthetic evaluation methodology to frame civil architecture energy conservation efficiency fuzzy synthetic evaluation model, in order to make the result of evaluation more objective and reasonable.

Development of an Evaluation Model of Freeway Traffic Safety Facilities System

2013 ◽  
Vol 734-737 ◽  
pp. 1578-1581
Author(s):  
Yan Yong Guo ◽  
Yao Wu ◽  
Liang Song ◽  
Hui Duan
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Evaluation Model ◽  
Variation Coefficient ◽  
Freeway Traffic ◽  
Evaluation Result ◽  
Single Index ◽  
Recognition Theory ◽  
Attribute Measure ◽  
Attribute Recognition

This study developed an evaluation model of freeway traffic safety facilities system. Firstly, an evaluation system of freeway traffic safety facility was proposed. Secondly, an evaluation model was proposed based on attribute recognition theory. And the evaluation result was identified according to the attribute measure value of single index and the comprehensive attribute measure value of multiple indexes as well as the confidence criterion. Thirdly, the weight of each indicator was decided by variation coefficient. Finally, A case of TAI-GAN freeway (K1+242~K3+259 segment) was conducted to verify the feasibility and effectiveness of the model.

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