## 2 Literature Review
### Using Intuitionistic Fuzzy Approaches in Supplier Selection and in Agriculture  
The use of IFS in the selection of suppliers has been covered in many studies, so the studies from 2021 will be presented (Table 1). Based on this review and other studies not included in this review, it can be concluded that the common application of IFS is used for supplier selection. This principle has been used in various industries but has not been sufficiently used in supplier selection in agriculture. IFS approaches in agriculture have been used for various purposes. [PERSON] & [PERSON], ref. [42] used this approach to determine the efficiency of agricultural production in India based on the application of the intuitionistic fuzzy DEA (data envelopment analysis) model. [PERSON] et al. [43] used operators to determine the membership function and \begin{table}
\begin{tabular}{c c c} \hline \hline
**Autori** & **Study Description** & **Method Used** & **Industry Sector** \\ \hline [PERSON] et al. [26] & Supplier ranking by & Entropy & Machinery industry \\ [PERSON] [27] & Circular supplier selection & AHP and COPRAS & Cement industry \\ [PERSON] \& [PERSON] [28] & Supplier selection using circular & TOPSIS & Commodities \\ [PERSON] et al. [29] & Supplier sustainability in organ & Entropy, E-VIKOR, MARCOS & Medical equipment \\ [PERSON] et al. [30] & Green supplier selection using & CIFWDPA operator & Environmental resistance \\ [PERSON] et al. [31] & Selection of electric car & OWA & Automotive industry \\ [PERSON] et al. [32] & Supplier selection and & CODAS & Steel industry \\ [PERSON] et al. [33] & Application of two-phase supplier & WASP, CODAS, CoCoSo & Pharmaceutical industry \\ [PERSON] \& [PERSON] [34] & Supplier selection & Entropy, BWM, WASPAS & Shipbuilding \\ [PERSON] [35] & A sustainable choice of plastic & Taguchi loss function & Production of packaging \\ [PERSON] \& [PERSON] [36] & Selection of suppliers of raw & TOPSIS & Textile industry \\ [PERSON] et al. [37] & Procurement of vehicle suppliers & SMAA-2 & Military industry \\ [PERSON] \& [PERSON] [38] & Selection of suppliers for & IVIFHIOWA & Construction industry \\ [PERSON] et al. [39] & Choosing a drone supplier & BWM, MULTIMOORA & Aero industry \\ [PERSON] \& [PERSON] [40] & Sustainable choice of suppliers & IVIFCLUDITS & Construction industry \\ [PERSON] et al. [41] & Choice of suppliers in India for & GLDS, Entropy & Iron industry \\ \hline \hline \end{tabular} Source: author composition.  
\end{table} 
Table 1: Using IFS in supplier selection. applied it to various examples in agriculture such as product selection on the farm and production selection on a single farm. [PERSON] et al. [44] studied the relationship between water, land, energy and CO\({}_{2}\) emissions in agriculture under conditions of high uncertainty and resource scarcity and ecological degradation. [PERSON] [45] used SWARA and MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) methods on the example of Agriculture 4.0 to examine the perceptions of agricultural producers in this regard. [PERSON] et al. [46] used neural networks to predict the yield of pulse production in India. [PERSON] & [PERSON] [47] used the CRITIC method to assess the quality of services in e-commerce of agricultural products. [PERSON] et al. [48] applied this approach to agricultural land management in the conservation and sustainable development of forest potential. [PERSON] & [PERSON] [49] dealt with the sustainable development of ecological agricultural areas in order to optimize resources. [PERSON] et al. [50] dealt with the problem of precision agricultural production and the use of drones in agricultural products, using the TOPSIS method. [PERSON] et al. [51] worked on planning a sustainable fruit production management system to improve this production. These and similar studies have shown that the application of IFS is wide and that this approach can be used in various practical examples in agriculture.