Developing a GIS Based Decision Support System for Resource Allocation in Earthquake Search and Rescue Operation

Author(s):  
Abolfazl Rasekh ◽  
Ali Reza Vafaeinezhad
2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Marzena Malyszko

The article discusses methods of ships assessment when determining their suitability for search and rescue action (SAR) at sea. Selection of the most preferable ships is one of the action planning elements. Due to various construction and equipment the civilian ships can only perform rescue task to a certain degree. According to the Multi-Criteria Decision Analysis (MCDA), many parameters and data have to be compared in order to create a ranking of vessels ordered according to the coordinator’s preferences. When data are missing, incomplete or uncertain, a similar effect can be obtained using fuzzy logic. The author discussed the nature of the criteria, evaluation methods and presented a simulation of a ship study using fuzzy logic. The author developed fuzzy rules and presented the principle of operation of the controller. The article deals with the main principles of a decision support system (DSS) for the selection of ships in SAR operations.


Author(s):  
Carolina Lino Martins ◽  
Adiel Teixeira de Almeida ◽  
Danielle Costa Morais

This study aims to demonstrate how the design of a decision support system (DSS) can improve the process of internal resource allocation in Brazil public universities. Currently, there are not any kind of general DSS for such a problem. To do so, the analysis is carried out by identifying the general model from the Brazilian Ministry of Education and the models from every federal university, finding similarities between each model, and dividing the models into categories, according to their similarities. Thus, a DSS resource allocation model prototype was proposed. The perspectives are to contribute to the decision problem of how to allocate resources properly faced by Brazilians public universities, take safer and reliable decisions, seeking to reduce uncertainties and to maximize their results.


2013 ◽  
Vol 427-429 ◽  
pp. 2609-2613
Author(s):  
Xuan Hua Xu ◽  
Yue Xia ◽  
Qiu Feng Wang ◽  
Hai Ming Zhao

Aiming at making the decision about production resource allocation of engineering machinery through the coordination of enterprises, firstly the collaborative group decision-making method of production resource allocation is proposed based on an information entropy model. On the basis of that, a new structure of group decision support system is constructed by Web Services technology. Finally the decision-making system of engineering machinery industry of Hunan province is taken as an example to verify and apply.


2019 ◽  
Vol 11 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Carolina Lino Martins ◽  
Adiel Teixeira de Almeida ◽  
Danielle Costa Morais

This study aims to demonstrate how the design of a decision support system (DSS) can improve the process of internal resource allocation in Brazil public universities. Currently, there are not any kind of general DSS for such a problem. To do so, the analysis is carried out by identifying the general model from the Brazilian Ministry of Education and the models from every federal university, finding similarities between each model, and dividing the models into categories, according to their similarities. Thus, a DSS resource allocation model prototype was proposed. The perspectives are to contribute to the decision problem of how to allocate resources properly faced by Brazilians public universities, take safer and reliable decisions, seeking to reduce uncertainties and to maximize their results.


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