THE HIERARCHY MODEL OF TELECOMMUNICATION NEEDS IN GEOINFORMATION RESOURCES

2018 ◽  
Author(s):  
Oleg Lobanov
Keyword(s):  
Hierarchy Model

scholarly journals A Grey Multi-Level Evaluation of Industrial Park Ecology Based on a Coefficient of Variation-Attribute Hierarchy Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1805
Author(s):  
Baolin Qiu ◽  
Dongkun Luo
Keyword(s):  
Technological Development ◽  
Theory And Practice ◽  
Industrial Park ◽  
Policy Management ◽  
Good Level ◽  
Industrial Parks ◽  
Hierarchy Model ◽  
Attribute Hierarchy ◽  
Multi Level ◽  
Ecological Construction

China entered a new era, and the construction of an ecological civilization and green development has been raised to a new strategic height. As the lifeblood of the national economy, industrial parks significantly contribute to economic growth. However, they also generate significant pollution, damaging the ecological environment. It is urgent to ecologically transform traditional industrial parks. This requires identifying methods to correctly and objectively evaluate the ecological level of industrial parks, and provide ecological construction proposals for the government and industrial parks. In this study, the comprehensive evaluation weight was determined by introducing a variation coefficient and an Attribute Hierarchy Model (AHM). The ecological level of four representative eco-industrial parks was then quantitatively evaluated using a grey multi-level evaluation method. The ecological construction level of the four industrial parks was as follows. The Tianjin Economic-Technological Development Area (TEDA) was rated at a “very good” level; and the Suzhou industrial park, Dalian economic and technological development zone, and Fushun mining group were rated at a “good” level. Six dimensions were studied. Of these, policy management had the highest weight, and the total weight of policy management and economic development approached 50%. The result shows that industrial parks can attract innovative enterprises and talents through the policy guidance of local government to improve the level of green innovation technology and cleaner production technology. Then, the ecological level of the industrial parks will be improved. This study enriched the theory and practice of ecological evaluation of industrial parks and provided a reference for the ecological construction of traditional industrial parks.

An Organisational Evaluation Capability Hierarchy Model for Self-diagnosis1

2005 ◽  
Vol 4 (1-2) ◽  
pp. 27-32 ◽  
Author(s):  
Colin A Sharp
Keyword(s):  
Project Management ◽  
Financial Management ◽  
Theory And Practice ◽  
Evaluation Theory ◽  
Information Systems Management ◽  
Capability Maturity ◽  
Wide Range ◽  
Hierarchy Model ◽  
Management Project

The use of Capability Maturity Models in financial management, project management, people management and information systems management in a wide variety of organisations indicates the potential for an Organisational Evaluation Capability Hierarchy to guide the self-diagnosis of organisations in building their evaluation maturity. This paper is about the theory behind this growing trend in organisational governance and organisational diagnosis, and explores its relevance to evaluation theory and practice. This theoretical analysis may have long-term practical benefits for evaluation practitioners, as is being developed in the fields of project management, financial management, and people management in a wide range of organisations.

scholarly journals An Analytic Hierarchy Model for Classification Algorithms Selection in Credit Risk Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Gang Kou ◽  
Wenshuai Wu
Keyword(s):  
Risk Analysis ◽  
Credit Risk ◽  
Multicriteria Decision Making ◽  
Performance Criteria ◽  
Classification Algorithms ◽  
Efficient Tool ◽  
Analytic Hierarchy ◽  
Hierarchy Model ◽  
Three Stages ◽  
Credit Risk Analysis

This paper proposes an analytic hierarchy model (AHM) to evaluate classification algorithms for credit risk analysis. The proposed AHM consists of three stages: data mining stage, multicriteria decision making stage, and secondary mining stage. For verification, 2 public-domain credit datasets, 10 classification algorithms, and 10 performance criteria are used to test the proposed AHM in the experimental study. The results demonstrate that the proposed AHM is an efficient tool to select classification algorithms in credit risk analysis, especially when different evaluation algorithms generate conflicting results.

scholarly journals Cultivating Students’ STEAM Competence in STEAM Education: Constructing Models and Developing Measurement Scale in Chinese primary school

2021 ◽  
Author(s):  
shan chen
Keyword(s):  
Factor Analysis ◽  
Correlation Analysis ◽  
Path Analysis ◽  
Situated Learning ◽  
Measurement Model ◽  
Measurement Scale ◽  
Font Size ◽  
Analytic Hierarchy ◽  
Steam Education ◽  
Hierarchy Model

<p>To improve the quality of STEAM education and cultivate STEAM competence, the purpose of this research was designed to examine the students’ experiences in cultivating STEAM competence, which was focused on students’ engaging experience in STEAM education. Through several investigation and questionnaires to achieve this purpose, to construct an analytic hierarchy model and measurement model by employing the analytic hierarchy process and confirmatory factor analysis in R 3.3.3 and Mplus8.3. Besides, correlation analysis, exploratory factor analysis (EFA), and path analysis were also employed. The participants are the researchers, educators, and administrators (Total= 856), as well as the 4<sup>th</sup> grade to 6<sup>th</sup> grade students (N=1126). Summarizing the main results: (1) the dimension of students’ STEAM competence (SSC) was established through the analytic hierarchy model, which was practical cognition, interpersonal interaction, and comprehensive influence point to the individual, society, and living world. (2) the criteria and sub-criteria of SSC were modified, corrected, and determined through the analytic hierarchy model and measurement model to construct the SSC scale (SSCs), which was psychological cognition, situated learning, practical inquiry, social communication, rational decision making, creative presentation, and impact assessment. (3) the relationships between each criterion were examined through correlation analysis and path analysis. Finally, the conclusion, significance, limitations, and future work were also discussed to promote the development of students’ STEAM competence.<b></b></p>@font-face{ font-family:"Times New Roman"; }@font-face{ font-family:"宋体"; }@font-face{ font-family:"DengXian"; }@font-face{ font-family:"DejaVu Sans"; }p.MsoNormal{ mso-style-name:正文; mso-style-parent:""; margin:0pt; margin-bottom:.0001pt; text-indent:10.0000pt; mso-char-indent-count:2.0000; padding:0pt 0pt 0pt 0pt ; mso-layout-grid-align:none; layout-grid-mode:char; mso-pagination:none; font-family:'Times New Roman'; mso-fareast-font-family:宋体; color:rgb(0,0,0); font-size:12.0000pt; mso-font-kerning:10.5000pt; }p.MsoHeader{ mso-style-name:页眉; margin:0pt; margin-bottom:.0001pt; text-indent:10.0000pt; mso-char-indent-count:2.0000; border-top:none; mso-border-top-alt:none; border-right:none; mso-border-right-alt:none; border-bottom:none; mso-border-bottom-alt:none; border-left:none; mso-border-left-alt:none; padding:1pt 4pt 1pt 4pt ; mso-layout-grid-align:none; layout-grid-mode:char; mso-pagination:none; text-align:justify; text-justify:inter-ideograph; font-family:'DejaVu Sans'; mso-fareast-font-family:宋体; mso-bidi-font-family:'Times New Roman'; color:rgb(0,0,0); font-size:9.0000pt; mso-font-kerning:10.5000pt; }span.msoIns{ mso-style-type:export-only; mso-style-name:""; text-decoration:underline; text-underline:single; color:blue; }span.msoDel{ mso-style-type:export-only; mso-style-name:""; text-decoration:line-through; color:red; }div.Section0{page:Section0;}

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