scholarly journals Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 579
Author(s):  
Margarida Amândio ◽  
Manuel Parente ◽  
José Neves ◽  
Paulo Fonseca
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Pavement Management ◽  
Condition Evaluation ◽  
Pavement Management Systems ◽  
Pavement Monitoring ◽  
Long Time ◽  
Future Direction ◽  
Smart Technologies

Nowadays, pavement management systems (PMS) are mainly based on monitoring processes that have been established for a long time, and strongly depend on acquired experience. However, with the emergence of smart technologies, such as internet of things and artificial intelligence, PMS could be improved by applying these new smart technologies to their decision support systems, not just by updating their data collection methodologies, but also their data analysis tools. The application of these smart technologies to the field of pavement monitoring and condition evaluation will undoubtedly contribute to more efficient, less costly, safer, and environmentally friendly methodologies. Thus, the main drive of the present work is to provide insight for the development of future decision support systems for smart pavement management by conducting a systematic literature review of the developed works that apply smart technologies to this field. The conclusions drawn from the analysis allowed for the identification of a series of future direction recommendations for researchers. In fact, future PMS should tend to be capable of collecting and analyzing data at different levels, both externally at the surface or inside the pavement, as well as to detect and predict all types of functional and structural flaws and defects.

Enhancing Decision Support Systems with Spatial Capabilities

2011 ◽  
pp. 2542-2557
Author(s):  
Marcus Costa Sampaio ◽  
Cláudio de Souza Baptista ◽  
André Gomes de Sousa ◽  
Fabiana Ferreira do Nascimento
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Data Warehouse ◽  
Spatial Data ◽  
Support Systems ◽  
Data Cube ◽  
Related Data ◽  
Spatial Dimensions ◽  
Object Relational ◽  
Long Time

This chapter introduces spatial dimensions and measures as a means of enhancing decision support systems with spatial capabilities. By some way or other, spatial related data has been used for a long time; however, spatial dimensions have not been fully exploited. It is presented a data model that tightly integrates data warehouse and geographical information systems — so characterizing a spatial data warehouse (SDW) — ; more precisely, the focus is on a formalization of SDW concepts, on a spatial-aware data cube using object-relational technology, and on issues underlying a SDW — specially regarding spatial data aggregation operations. Finally, the MapWarehouse prototype is presented aiming to validate the ideas proposed. The authors believe that SDW allows for the efficient processing of queries that use, jointly, spatial and numerical temporal data (e.g., temporal series from summarized spatial and numerical measures).

scholarly journals Electronic Credit and Furniture Decision Support Systems Using the Weighted Product Method

2021 ◽  
Vol 10 (1) ◽  
pp. 28-37
Author(s):  
Helita Sari ◽  
R Mahdalena Simanjorang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Programming Language ◽  
Support System ◽  
Support Systems ◽  
Product Method ◽  
Long Time ◽  
Credit Goods ◽  
Credit Granting

To do Electronic Credit and furniture is quite difficult and less effective and efficient. Because the system used is still manual or not computerized, and the number of consumers who want to credit goods in Metro, it takes a few days or a long time to make a decision so that a system is needed, namely a Decision Support System using the Weighted Product method. The Weighted Product method is a method that uses multiplication to relate the attribute rating, where the rating of each attribute must first be ranked with the attribute's weight. The Weighted Product method uses multiplication as a liaison for attribute ratings, where the rating of each attribute must be ranked first with the weight in question. This research will produce an application or a furniture and electronic credit decision support system that can help make the credit granting process in the metro easier and more precise. The criteria used in this study are income, BPKB guarantee, KTP, family card (KK), home status, tutoring concerned and child dependents. Of the 5 examples of consumers who have been given in this study from A1, A2, A3, A4, to A5 then the highest ranking result of these 5 consumers is given to alternative A1 because the value obtained by A1 is higher than other alternatives. This system is designed using UML with the programming language PHP, CSS, Java script and HTML with the MySQL database.

scholarly journals Sistem Pendukung Keputusan Penentuan Calon Penerima Beasiswa Prestasi di Universitas Amikom Yogyakarta

2019 ◽  
Vol 3 (3) ◽  
pp. 172
Author(s):  
Muhammad Mariko ◽  
Ainul Yaqin
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Selection Process ◽  
Decision Makers ◽  
Test Results ◽  
Fuzzy Method ◽  
Scholarship Recipients ◽  
Long Time

Amikom Yogyakarta University provides various types of scholarships to students, one of which is an achievement scholarship. the selection process requires precision and also fast, so that the results obtained are in accordance with the provisions, if the selection process is done manually then it will take a long time and easy errors occur. Decision support systems using the Tsukamoto fuzzy method can help select scholarship recipients by performing mathematical calculations by the system and produce weighting criteria for each student as a reference in decision makers. Based on the results of the research of each criteria weight, namely GPA, achievement and assessment of parents obtained test results with an accuracy of 80%.

scholarly journals Decision Support Systems Employee Discipline Identification Using The Simple Multi Attribute Rating Technique (SMART) Method

2020 ◽  
Vol 1 (2) ◽  
pp. 103-112
Author(s):  
Rizer Fahlepi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Employee Discipline ◽  
Good Evaluation ◽  
Long Time

Discipline is a very important aspect to support the quality of these human resources. If there are insufficient or undisciplined resources, it will affect the quality of human resources. In its implementation the process of evaluating employee discipline is still done manually so it takes a long time. For this reason, a decision support system is needed to identify the level of discipline of staff and employees at STIKes and STMIK Hang Tuah Pekanbaru. The method used to develop this DSS is Simple Multi Attribute Rating Technique (SMART) with 6 attributes, namely performance, warning letters, absenteeism, discipline, complience to regulations, and compliance to superior’s order. The final result are divided into 3 categories, namely Very Good, Enough, Do Coaching. From the application of this method, it was found that 120 people got Very Good evaluation results, 11 people got Enough results, and 2 people got the results of Do Coaching. Decision support system with SMART method can identify the level of discipline of staff and, to later be given guidance to staff who get evaluation results. Do Coaching to become more disciplined and improve the quality of human resources in STIKes and STMIK Hang Tuah Pekanbaru

Enhancing Decision Support Systems with Spatial Capabilities

2011 ◽  
pp. 94-116
Author(s):  
Marcus Costa Sampaio ◽  
Cláudio de Souza Baptita ◽  
André Gomes de Sousa ◽  
Fabiana Ferreira do Nascimento
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Data Warehouse ◽  
Spatial Data ◽  
Support Systems ◽  
Data Cube ◽  
Related Data ◽  
Spatial Dimensions ◽  
Object Relational ◽  
Long Time

This chapter introduces spatial dimensions and measures as a means of enhancing decision support systems with spatial capabilities. By some way or other, spatial related data has been used for a long time; however, spatial dimensions have not been fully exploited. It is presented a data model that tightly integrates data warehouse and geographical information systems — so characterizing a spatial data warehouse (SDW) — ; more precisely, the focus is on a formalization of SDW concepts, on a spatial-aware data cube using object-relational technology, and on issues underlying a SDW — specially regarding spatial data aggregation operations. Finally, the MapWarehouse prototype is presented aiming to validate the ideas proposed. The authors believe that SDW allows for the efficient processing of queries that use, jointly, spatial and numerical temporal data (e.g., temporal series from summarized spatial and numerical measures).

Decision Support Systems

2013 ◽  
pp. 44-62 ◽  
Author(s):  
Bongani Ngwenya
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Public Sector ◽  
Private Sector ◽  
Decision Support Systems ◽  
Public Services ◽  
Support Systems ◽  
Evaluation Theory ◽  
Long Time ◽  
Expected Benefits

E-Government is about using the tools and systems, made possible by Information and Communication Technologies (ICTs), such as Decision Support Systems (DSSs) as a strategy to enhance human resources output in public sector organisations. The aim is to provide better public services to citizens and the business sector. ICTs are already widely used by government bodies, especially in developed countries, just as in enterprises. In Zimbabwe, and in many other developing countries, Public Sector Organisations have already started exploiting DSS, unlike the private sector where such systems have been in use for a long time. DSSs have subsequently improved decision making processes in the private sector. Service efficiency and improved effectiveness are the expected benefits of DSSs exploitation alongside increased stakeholder value. This chapter aims to provide the grounds for building an evaluation theory or a framework for assessing DSS adoption and exploitation in the context of public sector and public services provision. It discusses the results of a study that finds that, to a greater extent, decision support systems can be used as an e-Government strategy that will in turn be highly effective in assisting decision making in Public Sector Organisations.

Assigning Value to Clinical Information – A Major Limiting Factor in the Implementation of Decision-Support Systems

1996 ◽  
Vol 35 (01) ◽  
pp. 1-4 ◽  
Author(s):  
F. T. de Dombal
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Clinical Information ◽  
Limiting Factor ◽  
Major Difficulty ◽  
Computer Aided ◽  
Computer Aided Decision

AbstractThis paper deals with a major difficulty and potential limiting factor in present-day decision support - that of assigning precise value to an item (or group of items) of clinical information. Historical determinist descriptive thinking has been challenged by current concepts of uncertainty and probability, but neither view is adequate. Four equations are proposed outlining factors which affect the value of clinical information, which explain some previously puzzling observations concerning decision support. It is suggested that without accommodation of these concepts, computer-aided decision support cannot progress further, but if they can be accommodated in future programs, the implications may be profound.

Sign in / Sign up

Export Citation Format

Share Document