## 4 Results and Discussion
### Acceptable Quality
\begin{table}
\begin{tabular}{p{142.3 pt} p{142.3 pt} p{142.3 pt} p{142.3 pt} p{142.3 pt}} \hline \hline
**Citation** & **Short Description** & **Year** & **Application Domain** & **Quality** \\ \hline
[8] & Proposed system helps in selecting the appropriate drone for the specific needs of farmers using drones. & 2017 & Agriculture & Acceptable \\ \hline
[76] & The research is about the design and development of smart decision support systems, utilizing financial ontology and a model of manager knowledge. This model is made by the use of eye-tracking analysis by experts. To create the model of manager knowledge, many financial experts and economists were consulted to analyze the pre-defined financial reports. & 2017 & Business sector & Acceptable \\ \hline
[54] & A multi-criteria-based decision support system is proposed for tackling problems regarding emergency service locations. The system is based on GIS and PROMETHE IV. The applicability of the system is evaluated by the use of a case study regarding earthquake emergency service station planning. & 2015 & Disaster management & Acceptable \\ \hline
[67] & A framework is proposed for designing a group-based DSS to broadcast events of earthquake occurrences. The framework is based on a multi-criteria decision-making technique. & 2016 & Disaster management & Acceptable \\ \hline
[79] & Proposes an approach for selecting the important factors which affect risk or crisis. The system calculates the weight of each criterion based on the weights measures for different indicators. The importance of the criterion is directly proportional to the weight it gets. & 2017 & Disaster management & Acceptable \\ \hline
[91] & In the presented study, a skill taxonomy is established for the S-HELP DSS toolkit to interlink main important emergency tasks with main emergency responders. & 2018 & Disaster management & Acceptable \\ \hline
[10] & A systematic literature review is conducted to review the application of approaches used for decision-making in the energy sector. The overview provides detail of these approaches regarding 13 different fields belonging to the energy sector such as environmental impact assessment, sustainability assessment, waste management, renewable energy, land management, energy sustainability, green management topics, climate change, water resources management, strategic environmental assessment, energy management areas and construction and environmental management. & 2017 & Energy sector & Acceptable \\ \hline
[32] & The paper proposes DSS to select the design and the operating parameters for long-distance heat transportation. Optimized selection is based on the multi-criteria approach by considering various measures. & 2018 & Environmental side & Acceptable \\ \hline
[58] & Potential support is investigated that can be provided by decision support system (DSS). The study proposes that a collaborative Multi-criteria Spatial Decision Support System can assist in the selection of the appropriate policies regarding landscape enhancement. & 2015 & Geography & Acceptable \\ \hline
[65] & This paper provides methodology regarding the gathering of data by using spatial analysis techniques with integration to the multi-criteria procedure using weighted linear combination. & 2016 & Geography & Acceptable \\ \hline
[70] & DSS suggests that groundwater managers, policymakers, and stakeholders take the decisions. & 2016 & Hydrogeological sciences & Acceptable \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Details of acceptable quality contributions with their short description.