scholarly journals Evaluation Model of Remote Sensing Satellites Cooperative Observation Capability

2021 ◽  
Vol 13 (9) ◽  
pp. 1717
Author(s):  
Zhonggang Zheng ◽  
Qingmei Li ◽  
Kun Fu
Keyword(s):  
Remote Sensing ◽  
Process Model ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Complex Problem ◽  
Optical Remote Sensing ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Analytic Hierarchical Process ◽  
Capability Evaluation

This paper proposed a new remote sensing observation capability evaluation model (RSOCE) based on analytic hierarchy process to quantitatively evaluate the capability of multi-satellite cooperative remote sensing observation. The analytic hierarchical process model is a combination of qualitative and quantitative analysis of systematic decision analysis method. According to the objective of the remote sensing cooperative observation mission, we decompose the complex problem into several levels and a number of factors, compare and calculate various factors in pairs, and obtain the combination weights of different schemes. The model can be used to evaluate the observation capability of resource satellites. Taking the optical remote sensing satellites, such as China’s resource satellite series and GF-4, as examples, this paper verifies and evaluates the model for three typical tasks: point target observation, regional target observation, and moving target continuous observation. The results show that the model can provide quantitative reference and model support for comprehensive evaluation of the collaborative observation capability of remote sensing satellites.

scholarly journals Evaluation Model of Remote Sensing Satellites Cooperative Observation Capability

2021 ◽  
Author(s):  
Zhonggang Zheng ◽  
Kun Fu ◽  
Qingmei Li
Keyword(s):  
Remote Sensing ◽  
Process Model ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Complex Problem ◽  
Optical Remote Sensing ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Analytic Hierarchical Process ◽  
Hierarchy Process

This paper proposed a new evaluation model based on analytic hierarchy process to quantitatively evaluate the capability of multi-satellite cooperative remote sensing observation. The analytic hierarchical process model is a combination of qualitative and quantitative analysis of systematic decision analysis method. According to the objective of the remote sensing cooperative observation mission, we decompose the complex problem into several levels and a number of factors, compare and calculate various factors in pairs, and obtain the combination weights of different schemes. The model can be used to evaluate the observation capability of resource satellites. Taking the optical remote sensing satellites such as China’s resource satellite series and GF-4 as examples, this paper verifies and evaluates the model for three typical tasks: point target observation, regional target observation and moving target continuous observation. The results show that the model can provide quantitative reference and model support for comprehensive evaluation of the collaborative observation capability of remote sensing satellites.

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.

Research on Comprehensive Evaluation of Service Capability of the Third-Party Logistics Suppliers with AHP and Gray Entropy Theory

2021 ◽  
Author(s):  
Jun Li ◽  
Xuhua Pan ◽  
Mingxiao Li ◽  
Gang Wang ◽  
Zhixin Zhang
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Third Party ◽  
Third Party Logistics ◽  
Comprehensive Service ◽  
Service Capability ◽  
Capability Evaluation

To solve the problem of third-party logistics (3PL) evaluation and selection, a hybrid method with AHP and gray theory is proposed. First, the literature review about the 3PL evaluation method and technology is introduced. Furthermore, TPL comprehensive service capability evaluation system is established from aspects of service, time, cost and enterprise qualification. Besides, a comprehensive evaluation model process with gray entropy and AHP is introduced. Finally, a detailed evaluation process of 3PL supplier service capability in F company is introduced by an example, and the results show that the evaluation method in the paper is helpful to choose the TPL for logistics outsourcing.

scholarly journals Efficacy of using radar-derived factors in landslide susceptibility analysis: case study of Koslanda, Sri Lanka

2019 ◽  
Vol 19 (8) ◽  
pp. 1881-1893 ◽  
Author(s):  
Ahangama Kankanamge Rasika Nishamanie Ranasinghe ◽  
Ranmalee Bandara ◽  
Udeni Gnanapriya Anuruddha Puswewala ◽  
Thilantha Lakmal Dammalage
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Landslide Susceptibility ◽  
Prediction Models ◽  
Low Cost ◽  
Information Value ◽  
Spatial Data Analysis ◽  
Optical Remote Sensing ◽  
Analytic Hierarchy ◽  
Technological Developments

Abstract. Through the recent technological developments of radar and optical remote sensing in (i) the areas of temporal, spectral, spatial, and global coverage; (ii) the availability of such images either at a low cost or free of charge; and (iii) the advancement of tools developed in image analysis techniques and GIS for spatial data analysis, there is a vast potential for landslide studies using remote sensing and GIS as tools. Hence, this study aimed to assess the efficacy of using radar-derived factors (RDFs) in identifying landslide susceptibility using the bivariate information value method (InfoVal method) and the multivariate multi-criteria decision analysis based on the analytic hierarchy process statistical analysis. Using identified landslide causative factors, four landslide prediction models – bivariate with and without RDFs as well as multivariate with and without RDFs – were generated. Twelve factors such as topographical, hydrological, geological, land cover and soil plus three RDFs are considered. The weight of index for landslide susceptibility is calculated by using the landslide failure map, and susceptibility regions are categorized into four classes as very low, low, moderate, and high susceptibility to landslides. With the integration of RDFs, boundary detection between high- and very-low-susceptibility regions are increased by 7 % and 4 % respectively.

Comprehensive Evaluation Model of Resource Allocation for Construction Programme

2014 ◽  
Vol 584-586 ◽  
pp. 2215-2219
Author(s):  
Yi Xuan Wang ◽  
Ying Wei Ren ◽  
Yong Heng Yao
Keyword(s):  
Resource Allocation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Weighted Average ◽  
Fuzzy Comprehensive Evaluation ◽  
Analytic Hierarchy ◽  
Engineering Construction ◽  
Correlation Degree ◽  
Comprehensive Evaluation Model

According to the characteristics of resource allocation for engineering construction programme, the comprehensive evaluation model of resource allocation rationality for programme is established with the combination of analytic hierarchy process and fuzzy comprehensive evaluation method. The rationality of resource allocation for programme is evaluated objectively based on the assessment of correlation degree between monomer project and the programme and the evaluation of resource allocation rationality for monomer projects. And the evaluation results have been analyzed and sorted through the principle of weighted average.

Application of Analytic Hierarchy Process in the Steel Industry

2013 ◽  
Vol 683 ◽  
pp. 686-689
Author(s):  
Yang Liu ◽  
Guo Ping Cheng
Keyword(s):  
Supply Chain ◽  
Steel Industry ◽  
Default Risk ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Subjective Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Analytic Hierarchy ◽  
Supply Chain Financing ◽  
Hierarchy Process

Through analysing the indexs of the steel industry supply chain financing default risk, the article establishes a multi-level fuzzy comprehensive evaluation model for the steel industry supply chain financing default risk. Application examples show that the model overcomes the defect of subjective evaluation. It’s a rational and effective tool to assess the default risk of the steel industry supply chain financing.

Application of Analytic Hierarchy Process in Bridge Safety Comprehensive Evaluation

2015 ◽  
Vol 744-746 ◽  
pp. 744-748 ◽  
Author(s):  
Jun Li Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Safety Management ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index ◽  
Analytic Hierarchy ◽  
Safety Level ◽  
Bridge Safety ◽  
Safety And Reliability ◽  
Hierarchy Process

In order to appraise the safety and reliability of bridges effectively, the comprehensive evaluation model based on analytic hierarchy process was established. The weight of evaluation index was calculated by using the model, and each evaluation index was given score by experts according to actual circumstances, and, on this basis, safety level of the bridge was obtained. And, afterwards, the model was applied to an engineering example for Huangjiaba Bridge. The results show that the evaluation level of bridge safety is third-level, with serious problems existing in this practical example, and the corresponding measures are proposed, which can provide scientific reference for bridge safety management.

Study on Construction Order of Logistics Park Based on Combined Model of Analytic Hierarchy Process and Gray Comprehensive Evaluation

2011 ◽  
Vol 97-98 ◽  
pp. 644-647 ◽  
Author(s):  
Yang Yang ◽  
Tao Pu ◽  
Kun Ying Li
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Combined Model ◽  
Analytic Hierarchy ◽  
Logistics Park ◽  
Park Planning ◽  
Comprehensive Evaluation Model ◽  
Priority Order ◽  
Hierarchy Process

Priority order decision of logistics parks construction project is an important issue in the process of logistics park planning. It needs to synthesize various factors, such as, politics, economy, society and environment, etc. Because there are some grey relationships among these factors, construction of the order of questions can be look on as a grey multi-objective evaluation. This paper brings forward a new priority decision method named hierarchy -gray comprehensive evaluation model to evaluate the building order of the logistics parks. An example is used to elaborate how to use this model; meanwhile, the method is proved more scientific and reliable.

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