A GIS-Based Decision-Support Tool for Public Facility Planning

10.1068/b1281 ◽  
2002 ◽  
Vol 29 (4) ◽  
pp. 553-569 ◽  
Author(s):  
Alexandra Ribeiro ◽  
António Pais Antunes
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Optimization Methods ◽  
Facility Planning ◽  
Public Facility ◽  
Support Tool ◽  
Public Facilities ◽  
Solution Methods ◽  
User Friendly ◽  
Planning Problems

The installation and operation of public facilities, such as schools or hospitals, involve important amounts of public spending, and therefore need to be carefully planned. Research efforts made since the early 1960s led to the development of a rich collection of optimization models and solution methods for public facility planning problems. It must be recognized, however, that the practical impact of the efforts made up to now is rather weak. This paper presents an interactive, user-friendly decision-support tool for public facility planning where the capabilities of geographic information systems and advanced optimization methods are put together. We hope that it will contribute to bridge the gap between research and practice that characterizes the way public facility planning is made at present. The application of the decision-support tool is illustrated for a real-world setting.

scholarly journals A user-friendly decision support tool to assist one-health risk assessors

One Health ◽  
2021 ◽  
pp. 100266
Author(s):  
Rob Dewar ◽  
Christine Gavin ◽  
Catherine McCarthy ◽  
Rachel A. Taylor ◽  
Charlotte Cook ◽  
...  
Keyword(s):  
Decision Support ◽  
Health Risk ◽  
One Health ◽  
Decision Support Tool ◽  
Support Tool ◽  
User Friendly

Application of a Multi-Criteria Decision Support Tool in Assessing the Feasibility of Implementing Treated Wastewater Reuse

2013 ◽  
Vol 5 (1) ◽  
pp. 1-23 ◽  
Author(s):  
J.R. Adewumi ◽  
A.A. Ilemobade ◽  
J.E. van Zyl
Keyword(s):  
Decision Support ◽  
Service Providers ◽  
Wastewater Reuse ◽  
Decision Support Tool ◽  
Treated Wastewater ◽  
Support Tool ◽  
Feasibility Assessment ◽  
Quality Costs ◽  
Treated Wastewater Reuse ◽  
User Friendly

Wastewater reuse is increasingly becoming an important component of water resources management in many countries. Planning of a sustainable wastewater reuse project involves multi-criteria that incorporate technical, economic, environmental and social attributes. These attributes of sustainability is the framework upon which the decision support tool presented in this paper is developed. The developed tool employs a user friendly environment that guides the decision makers in assessing the feasibility of implementing wastewater reuse. The input data into the tool are easily obtainable while the output is comprehensive enough for a feasibility assessment of treated wastewater reuse. The output is expressed in terms of effluent quality, costs, quantitative treatment scores and perception evaluation. Testing of the developed multi-criteria decision support tool using Parow wastewater treatment works in Cape Town showed the tool to be versatile and capable of providing a good assessment of both qualitative and quantitative criteria in the selection of treatment trains to meet various non-potable reuses. The perception module provided a quick assessment of potential user’s concerns on reuse and service providers’ capacity.

scholarly journals Development and Application of a User-Friendly Decision Support Tool for Optimization of Wastewater Treatment Technologies in India

10.29007/k9xx ◽  
2018 ◽  
Author(s):  
Seyed M. K. Sadr ◽  
Matthew Johns ◽  
Fayyaz Memon ◽  
Mark Morley ◽  
Dragan Savic
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Decision Support Tool ◽  
Careful Consideration ◽  
Contributing Factors ◽  
Support Tool ◽  
Treatment Technologies ◽  
User Friendly

The selection of suitable wastewater treatment solutions is a complex problem that requires the careful consideration of many factors. With water at a premium and water consumption increasing, India is facing a challenging time ahead, requiring effective water treatment solutions. The Wastewater Decision Support Optimizer (WiSDOM) presented here is a user-friendly software package designed to aid in the formulation and configuration of wastewater systems in developing countries such as India. WiSDOM employees advanced multi-objective optimization and decision analysis techniques to identify optimal wastewater treatment options. It has been demonstrated that WiSDOM can adapt to a wide array of scenarios, considering a range of contributing factors (technical, environmental, economic and social), enabling stakeholders to make more informed decisions. The tool was applied to three different scenarios to test its functionalities and assess treatment technologies potential for different contexts. Initial results suggest that it is possible to automatically generate feasible distinct treatment strategies for user-defined contexts/constraints.

scholarly journals Machine Learning Technique Analysis and Applications for Predicting Student Performance

2019 ◽  
Vol 9 (1) ◽  
pp. 2133-2136
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Student Performance ◽  
Learning Algorithm ◽  
Decision Support Tool ◽  
Research Field ◽  
Machine Learning Algorithm ◽  
Support Tool ◽  
Predicting Student Performance ◽  
User Friendly

Machine Learning is an emerging research field concerned with developing methods to answer uncommon problems. There are many problems that can be answered with Machine Learning method, one of them is on educational scope. Many Educators right now cannot identify whether a certain student is on the brink of failing or not. As a result, many college students failed because the educators cannot help them. In this paper, we present our user-friendly decision support tool made from Machine Learning algorithm and to answer the problem we focus, which is to prevent college student from failing by providing educational agents necessary information and predictions. Our objective is to know which machine learning algorithm that can be used to predict the student’s performance and to create a decision support tool that can be used by educational agents so that educational agents can prevent student from failing the course.

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