## 4 Results and Discussion
### Good Quality Papers
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Citation** & **Short Description** & **Year** & **Application Domain** & **Quality** \\ \hline
[85] & The proposed DSS supports the preservation of farmland by facilitating zoning decisions. Parcel rating is done to allow the end users to find agricultural lands where defensive zoning should be applied by selecting gradually lower-scoring packages till the desired total area is satisfied. & 2018 & Agriculture & Good Quality \\ \hline
[33] & Due to the effectiveness and support of decision support systems in solving the problem in various domains, this special issue considers the efforts made for improving decision-making in agriculture using decision-support systems. & 2019 & Agriculture & Good Quality \\ \hline
[26] & This study discussed the wind farm site selection through multi-criteria-based DSS while using GIS. The proposed system determines the areas which can install wind farms for green energy resources. & 2016 & Energy sector & Good Quality \\ \hline
[75] & The authors proposed a hybrid integrated decision support system that helps in the prediction of the power supply and demand. The approach focuses on the prediction methodologies for the consumption of natural gas at the country level. & 2017 & Energy sector & Good Quality \\ \hline
[51] & In this research, the techniques of evaluation of renewable energy sources’ potential are used. These techniques further apply multi-criteria decision-making system (MCDM) methods, which use a probabilistic model, i.e., the Bayesian approach. & 2018 & Energy sector & Good Quality \\ \hline
[53] & This study explains the established multi-criteria decision-making system (MCDM) and other software which are used for processing spatially heterogeneous data. & 2019 & Energy sector & Good Quality \\ \hline
[37] & This research explains energy retrofit interventions for the available building stocks and the integration of participative processes in decision-making. In this research, a new multicriteria spatial decision support system (MC-SDSS) is developed. The MC-SDSS is an interactive energy-related plug-in for a geographic information system (GIS). & 2019 & Energy sector & Good Quality \\ \hline
[59] & A novel framework is presented based on multi-criteria to tackle uncertain situations. Evidence-based theory of Dempster-Shafer (DST) for solving problems in decision-making for uncertain situations. The proposed model can be exploited in real-life situations. & 2015 & General problem solving & Good Quality \\ \hline
[17] & Presented papers describe decision support systems based on data mining to extract knowledge as well the simulation-based optimization. The proposed systems have the potential to fulfill the industrial requirement regarding the problem or to support important decision-making. & 2015 & Industrial domain & Good Quality \\ \hline
[71] & In the proposed work, the authors present a decision support system to help in the selection of machine tools in a manufacturing process. & 2016 & Industrial domain & Good Quality \\ \hline
[74] & Ambient intelligent DSS development to assist in the creation of work procedures to ensure that the production quality is efficient. & 2017 & Industrial domain & Good Quality \\ \hline
[82] & The paper presents how to develop the decision support system to assist the manufacturer regarding the formulation of optimization problems by taking into account the number of manufacturing levels, the representation of data, and the creation of suitable models for optimal solutions. The presented work will reduce the cost of effort as well as time to achieve sustainable performance. & 2017 & Industrial domain & Good Quality \\ \hline \hline \end{tabular}
\end{table} 
Table 10: _Cont._