## 4 Results and Discussion
### Frameworks, Methods, and Algorithms Used in Different Domains
\begin{table}
\begin{tabular}{p{42.7 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**S. No** & **Application Domain** & **Framework/Algorithms/Methods/Techniques** \\ \hline
4 & Disaster management & Geographical information systems (GIS), Preference Ranking Organization Method for Enrichment Evaluation IV (PROMETHE IV), S-HELP DSS. \\ \hline
5 & Energy sector & Geographical Information Systems (GIS), climatological conditions, Adaptive Neuro-Fuzzy Systems (ANFISANFIS), Neural Networks (NN), Fuzzy Cognitive Maps (FCM), econometric models, hybrid MCDM, fuzzy MCDM, Bayesian methods, AHP, MCSDSS (multicriteria spatial decision SS). \\ \hline
6 & Environmental side & Static HTS model, terrain elevation profile. \\ \hline
7 & University or Company & Fuzzy DSS’s. \\ \hline
8 & Waste management & Multicriteria decision analysis (MCDA) framework, GIS, MCDA. \\ \hline
9 & Water resource management & GIS system, WWTP. \\ \hline
10 & General problem solving & Hybridized MCDM tool, evidence-based theory of Dempster-Shafer (DST), neural network, genetic algorithm, robustness analysis, integration of DSS and Group DSS for considering all the decision criteria simultaneously, Delphi, DEMATEL, ANP, MDS, Multi-criteria spatial decision support system (MC-SDSS), Taguchi’s method, decision table, DRSA-incremental algorithm, decision rules, Supervised DRSA based method (Dominance-based Rough Set Approach). \\ \hline
11 & Geography & Web-based data, common knowledge, Landscape Spatial Decision Support System (SDSS), Volunteered Geographic Information (VGIs), Weighted Linear Combination (WLC), Spatial multi-criteria analysis. \\ \hline
12 & Industrial domain & Knowledge extraction, data mining, simulation-based optimization, artificial neural network, fuzzy analytic network process, ambient intelligence, optimization heuristics, machine learning, analytical hierarchy process (AHP), P hard problem, metaheuristic (NSGAII algorithm), case-based reasoning (CBR), ontology. \\ \hline
13 & Information about DSS & The knowledge-based system, genetic programming. \\ \hline
14 & Media evaluation & ANP, VIKOR, DEMATEL. \\ \hline
15 & Medical field & Electro-cardiograph (ECG), electro-dermal activity (EDA), long-short-term-memory (LSTM) based anomaly detection algorithms, logistic classifiers, TOPSIS, three layer knowledge base model (disease-symptom-property), multisymptom naive Bayes algorithm, genetic algorithm (GA), support vector machine (SVM), machine learning, artificial neural network (ANN), myocardial perfusion scintigraphy, CART, EHC-ERT based intelligent-integrated model, ERF for disease prediction, intuitionistic fuzzy number (IFN), Model of Original Multi-objective Decision-making (MODM), Analytical Hierarchy Process (AHP), genetic support vector machines (GSVM), ELECTRE II method, CNP (contract net protocol), Multifactorial Decision Support System (mDSS). \\ \hline
16 & People safety & Multi-criteria ranking, 3d modeling, agent-based simulation (ABS). \\ \hline
17 & Refugee settlements & Multi-agent system (MAS), intelligent agents, multi-criteria decision-making (MCDM), fuzzy analytical hierarchy process (FAHP), fuzzy axiomatic design approach with risk factor (RFAD). \\ \hline
18 & Supply chain & Analytical Hierarchy Process (AHP), the fuzzy technique for order performance by similarity to ideal solutions (TOPSIS), forecasting model parameters, ARIMA, ARIMAX. \\ \hline
19 & Sustainable computing & Computational intelligence (CI). \\ \hline
20 & Transportation & Concordance analysis, intelligent decision-making models, multiple criteria decision-making, group decision-making, artificial neural networks, metaheuristic, Fuzzy Logic, case-based reasoning, Analytical Hierarchy Process (AHP), GIS, smart devices, agent-based models, genetic algorithm, Fuzzy stochastic mathematical programming-based model, Oracle for the object-rational database. \\ \hline \hline \end{tabular}
\end{table} 
Table 12: Cont.