Design of a Decision Support System for Resource Allocation in Brazil Public Universities

2021 ◽  
pp. 470-486
Author(s):  
Carolina Lino Martins ◽  
Adiel Teixeira de Almeida ◽  
Danielle Costa Morais
Keyword(s):  
Resource Allocation ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
General Model ◽  
Decision Problem ◽  
Public Universities ◽  
Ministry Of Education ◽  
Allocation Model ◽  
Do So

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.

Design of a Decision Support System for Resource Allocation in Brazil Public Universities

2019 ◽  
Vol 11 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Carolina Lino Martins ◽  
Adiel Teixeira de Almeida ◽  
Danielle Costa Morais
Keyword(s):  
Resource Allocation ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
General Model ◽  
Decision Problem ◽  
Public Universities ◽  
Ministry Of Education ◽  
Allocation Model ◽  
Do So

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.

Study on Group Decision Support System for Production Resource Allocation of Engineering Machinery

2013 ◽  
Vol 427-429 ◽  
pp. 2609-2613
Author(s):  
Xuan Hua Xu ◽  
Yue Xia ◽  
Qiu Feng Wang ◽  
Hai Ming Zhao
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Collaborative Group ◽  
Group Decision Support System ◽  
Production Resource

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.

A FUZZY MULTI-OBJECTIVE BILEVEL DECISION SUPPORT SYSTEM

2009 ◽  
Vol 08 (01) ◽  
pp. 93-108 ◽  
Author(s):  
YA GAO ◽  
GUANGQUAN ZHANG ◽  
JIE LU
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Problem ◽  
Programming Model ◽  
Multiple Objectives ◽  
Objective Functions ◽  
Multi Objective ◽  
Solution Methods

In a bilevel decision problem, both the leader and the follower may have multiple objectives, and the coefficients involved in these objective functions or constraints may be described by some uncertain values. To express such a situation, a fuzzy multi-objective bilevel (FMOBL) programming model and related solution methods are introduced. This research develops a FMOBL decision support system through implementing the proposed FMOBL methods.

DSS Using Visualization of Multi-Algorithms Voting

2011 ◽  
pp. 296-305 ◽  
Author(s):  
Ran M. Bittmann ◽  
Roy M. Gelbard
Keyword(s):  
Image Processing ◽  
Decision Support ◽  
Decision Support System ◽  
Computer Science ◽  
Support System ◽  
Decision Problem ◽  
Set Up ◽  
The Individual ◽  
Personal Expertise ◽  
Multiple Cluster

The problem of analyzing datasets and classifying them into clusters based on known properties is a well known problem with implementations in fields such as finance (e.g., pricing), computer science (e.g., image processing), marketing (e.g., market segmentation), and medicine (e.g., diagnostics), among others (Cadez, Heckerman, Meek, Smyth, & White, 2003; Clifford & Stevenson, 2005; Erlich, Gelbard, & Spiegler, 2002; Jain & Dubes, 1988; Jain, Murty, & Flynn, 1999; Sharan & Shamir, 2002). Currently, researchers and business analysts alike must try out and test out each diverse algorithm and parameter separately in order to set up and establish their preference concerning the individual decision problem they face. Moreover, there is no supportive model or tool available to help them compare different results-clusters yielded by these algorithm and parameter combinations. Commercial products neither show the resulting clusters of multiple methods, nor provide the researcher with effective tools with which to analyze and compare the outcomes of the different tools. To overcome these challenges, a decision support system (DSS) has been developed. The DSS uses a matrix presentation of multiple cluster divisions based on the application of multiple algorithms. The presentation is independent of the actual algorithms used and it is up to the researcher to choose the most appropriate algorithms based on his or her personal expertise.

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