## 2 Materials and Methods
### Applications
#### 2.5.2 Decision Support in Territorial Recomposition  
The following example of domain knowledge describes the emotional impact of the decision maker in the territorial recomposition of French municipalities. The model describes the simulation of municipalities in regions of France and how the elected people in the government of those municipalities decide either to be involved, or not involved, in intercommunicity during territorial recomposition opportunities. [PERSON], through a field survey of 80 mayors in France [56], analyzed the learning process of intermunicipal cooperation [57]. This learning depends on identity, politics, and techniques. The authors believe that the emotional dimension also has an effect on the decisions of mayors with regard to psychological and emotional factors and the resulting territorial recompositions. The emotion model is the one that is used in medicine and also in management applications  
Figure 27: Diarrhea clinical automaton with diagnoses, prognosis and treatments. with the EPICE model presented in a previous paper [1]. It is based on the OCC model (Ortony, Clore and Collins) [58]. The objective of the example application presented in this paper was to the analyze a mayor's decision making. The assumptions used were that a mayor's decisions were based not only on their experiences and knowledge, but also on their psychology and emotions, especially when their municipality was one that was to be included in an intercommunicative structure that might make them surrender a part of their leadership [59]. An elected official's level of intercommunal learning affects his/her level of participation in community decision making. Conversely, the degree of participation of the elected official in the community decision (inter-municipal leadership) determines his/her level of inter-municipal learning and willingness to actively participate. This is affected according to his/her political alignment, as well as the current local, regional, and national leadership. In addition, interactions with other members (elected officials) and other communities have an influence on the decision-making process. The authors categorized several types of knowledge (factual, heuristic, and behavioral) to propose a model of the decision-making process, using a UML class diagram (shown in Figure 28) and the definition of necessary objects. For this example, the authors modeled the emotional dimension of the mayors' decision by highlighting the cognitive variables in the spatial and temporal recomposition, using the \"EPICE\" model and a temporal fuzzy vector space. Three objects: \"Mayor\", \"Municipality\", and \"EPCI\" (Public Establishment of Intercommunity Cooperation), were retained for the construction of the decision-making system. This paper concentrates on the \"Municipality\" object. Other objects for this application example were described in a separate paper [59]. The choice of attributes for the different objects was based on the relationship between leadership and territory, taking into account the rational, institutional, or normative dimensions, and the dimension of identity and local cultures. As leadership is not rational, the leader is understood in his/her temporality. This temporality makes a leader a being that is in perpetual construction, where his/her decisions are moving elements. The association of the EVFT and the EPICE model allowed for a parameterization of the objects \"Mayor\", \"Municipality\", and \"EPCI\". The Municipality  
The attributes of the object \"Municipality\" are described in Table 4.  
The evaluation of attributes considers the following:  
Figure 28: UML class diagram of intercommunicality. * Demographic weight (PD): The demographic weight (number of inhabitants) of a municipality is materialized by the number of representatives (community councilors) it has on the community council (the deliberative body of the EPCI). * Economic and fiscal resources (REF): This is based on different indicators.