ADAPTATION OF THE METHOD OF ANALYSIS OF HIERARCHIES FOR THE POSSIBILITY OF CONDUCTING SCENARIOUS ANALYSIS OF DEVELOPMENT PROJECTS OF ENTERPRISES IN THE GAS SPHERE

2021 ◽  
pp. 43-48
Author(s):  
В.В. Ухлова ◽  
Г.Н. Мартыненко ◽  
В.И. Лукьяненко
Keyword(s):  
Scenario Analysis ◽  
Evaluation Model ◽  
Project Evaluation ◽  
Development Projects ◽  
Analysis Method ◽  
Hierarchy Analysis

В работе ставится задача адаптации алгоритма метода анализа иерархии для возможности его применения в сценарном анализе проектов развития газового хозяйства г. Воронежа. Одна из задач работы - формирование модели оценки проектов газовой сферы. В качестве решения предложены модель оценки проектов и адаптированный алгоритм. The paper poses the problem of adapting the algorithm of the hierarchy analysis method for the possibility of its application in the scenario analysis of projects for the development of the gas economy in Voronezh. One of the tasks of the work is to form a model for evaluating gas projects. As a solution, a project evaluation model and an adapted algorithm are proposed

Efficiency evaluation of remote sensing space systems based on hierarchy analysis method

2005 ◽  
Vol 11 (3-4) ◽  
pp. 75-80 ◽  
Author(s):  
O.D. Fedorovskyi ◽  
◽  
V.G. Yakimchuk ◽  
E.N. Bodnar ◽  
Z.V. Kozlov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Efficiency Evaluation ◽  
Space Systems ◽  
Analysis Method ◽  
Hierarchy Analysis

Study on Scenario Analysis Method Based Safety Pre-Warming of Large Construction Engineering

2012 ◽  
Vol 594-597 ◽  
pp. 3045-3048
Author(s):  
Chun Guang Chang ◽  
Zhao Nan Jia ◽  
Ya Chen Liu ◽  
Lan Luan
Keyword(s):  
Scenario Analysis ◽  
Analysis Method ◽  
Construction Engineering ◽  
Testing Sample ◽  
Evaluating Method

For large construction engineering, to perform safety pre-warming more efficiently, scenario analysis method (SAM) is studied for safety pre-warming of large construction engineering (SPLCE). Implement flow framework of SAM is established, the key cycles of SAM are discussed. To validate the validity of SAM for SPLCE, some practical instances of SPLCE are abstracted so as to generated application and testing sample. Comparing with whole index evaluating method (WIEM), under the condition of considering only limited key driven forces and some normal indexes, the result by SAM are almost the same with that by WIEM. SAM improves the efficiency of SPLCE, and it is fit for solving complex predicting, analyzing and evaluating problems such as SPLCE.

scholarly journals Data-driven integration evaluation from the perspective of Adaboost and its application in WeChat public number ranking

2020 ◽  
Vol 309 ◽  
pp. 02017
Author(s):  
Yicheng Gong ◽  
Juan Zhao ◽  
Dongyang Zhang
Keyword(s):  
Factor Analysis ◽  
Adaptive Learning ◽  
Evaluation Model ◽  
Complex Structure ◽  
Principal Component ◽  
Data Driven ◽  
Analysis Method ◽  
Topsis Method ◽  
Evaluation Models ◽  
Weak Evaluation

The traditional comprehensive evaluation is difficult to model when dealing with large data with large parameters and complex structure, and it cannot adapt to the update of data. In order to improve this situation, this paper draws on the Adaptive Learning Adaboost perspective in statistical learning to develop a data-driven integrated evaluation model that updates the weight of sample weights and weak evaluation models with data. Three specific weak evaluation models were selected: data-driven Topsis method, principal component analysis method and factor analysis method. Taking the ranking of WeChat public account as an example, the results show that the accuracy of the integrated evaluation model is 88.57%, which is 17.14%, 31.43% and 28.57% higher than the data-driven Topsis method, principal component method and factor analysis method.

Development of a Scenario Analysis Method for the Analysis of Complex Changes

2004 ◽  
pp. 1790-1795
Author(s):  
Knut Øien ◽  
Lars Bodsberg ◽  
Stig Ole Johnsen ◽  
Trygve Steiro ◽  
John Monsen
Keyword(s):  
Scenario Analysis ◽  
Analysis Method

scholarly journals Evaluation of the Software Industry Competitiveness in Jilin Province Based on Factor Analysis

2015 ◽  
Vol 14 (4) ◽  
pp. 101-108
Author(s):  
Pinchao Meng ◽  
Weishi Yin ◽  
Yanzhong Li
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Evaluation System ◽  
Software Industry ◽  
Evaluation Model ◽  
Jilin Province ◽  
Analysis Method ◽  
Statistical Analysis Method ◽  
Set Up ◽  
Economic Indices

Abstract In this paper 12 economic indices of the software industry in 30 cities/provinces in China are used to set up an evaluation system for the competitiveness of the regional software industry. By using the statistical analysis method of factor analysis, an evaluation model of the comprehensive competitiveness of the software industry for each city/province is built. Taking Beijing and Shanghai as examples, the comprehensive competitiveness and problems of the software industry in Jilin province are compared and analyzed.

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