## 4 Results and Discussion
### Frameworks, Methods, and Algorithms Used in Different Domains  
After a detailed analysis of the papers' assessments, in this section, a detailed analysis is made of the approaches, methods, or algorithms used in a specific application domain. It is necessary to analyze what kind of algorithms or methods are used to solve decision-making problems using a decision support system in an application domain. This analysis will help the researchers in knowing the approaches that are implemented based on the nature of the problems, enabling integration of more intelligent algorithms for better support. The overall detailed summary of the framework, algorithms, methods, or techniques used in a specific application domain is provided in Table 12. \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
**Citation** & **Short Description** & **Year** & **Application Domain** & **Quality** \\ \hline
[9] & An MCDA framework is proposed for the evaluation of nuclear waste management strategies. The framework compares and ranks options using three waste management alternatives. & 2017 & Waste management & Acceptable \\ \hline
[87] & In the presented study, the site selection problem is supported using the decision support system based on the multi-criteria decision analysis (MCDA) and geographic information system (GIS). & 2018 & Waste management & Acceptable \\ \hline
[57] & The paper highlights and hopes for supporting decisions for route planning and optimization regarding garbage collection. The objective of the study was to provide practical solutions to the impact of CO2 emissions and to reduce the negative impact on the environment. & 2018 & Waste management & Acceptable \\ \hline
[84] & Attempt to exploit the GIS system by representing water reservation areas in a map and integrate this information using DSS to recommend water reservation structures and their measures. Water reservation areas are mapped in GIS and, based on the results, water conservation structures are recommended. & 2017 & Water resource management & Acceptable \\ \hline
[34] & A review of the state of the art is conducted regarding DSS’s application in WWTP. It will help the researchers, designers, and operations to select the most suitable methods for solving problems. & 2019 & Water resource management & Acceptable \\ \hline \end{tabular}
\end{table} 
Table 11: _Cont._ \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
**S. No** & **Application Domain** & **Framework/Algorithms/Methods/Techniques** \\ \hline
1 & Agriculture & TOPSIS, VIKOR, zoning of land, supervised decision tree, ancillary textual information, biophysical criteria of land. & 2017 & Waste management & Acceptable \\ \hline
2 & Business sector & MUSA method, continuous genetic algorithm, different fuzzy-based systems, machine learning algorithm, bottom-up process mining models, top-down standardization of information, sentiment analysis, web mining, text classification method, pairwise comparisons, cumulative belief degree approach, case-based reasoning (CBR), ABC classification models among Annual Dollar Usage (ADU), Analytic Hierarchy Process (AHP), Scoring (SCR), Fuzzy C-means Algorithm (FCM), and Analytic Network Process (ANP). & 2017 & Water resource management & Acceptable \\ \hline
3 & Computer field & MCDA process, local cost functions, fuzzy outranking relations, information from users’ profiles, CludDss, MCDM, software selection technology, AHP, MAHP, TOPSIS, Knowledge-based DSS, PROMETHE II, Building Information Modeling (BIM) models, AHP-TOPSIS (Analytic hierarchy process-Technique for Order Preference by Similarity to an Ideal Solution), TOPSIS, VIKOR, data mining techniques. & 2018 & Water resource management & Acceptable \\ \hline \end{tabular}
\end{table} 
Table 12: A detailed summary of approaches, techniques, or algorithms used in the application domains.