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Today's educational managers and communities use innovative consensus tools to help them make decisions. Eventually, they are confronted with perplexing school issues. They require collections of objective evidence to admit compromised solutions in order to justify choices and ensure fair value for money. This paper consists in modelling a combined GIS-AHP simulator. It allows to generate scenarios, to anticipate changes and to evaluate the consequences of the considered options. As a result, a range of socio-economic and anthropogenic enabling reality variables that can influence education…mehr

Produktbeschreibung
Today's educational managers and communities use innovative consensus tools to help them make decisions. Eventually, they are confronted with perplexing school issues. They require collections of objective evidence to admit compromised solutions in order to justify choices and ensure fair value for money. This paper consists in modelling a combined GIS-AHP simulator. It allows to generate scenarios, to anticipate changes and to evaluate the consequences of the considered options. As a result, a range of socio-economic and anthropogenic enabling reality variables that can influence education are taken into account in imputing CAI for zoning. In view of this, we will combine this GIS-AHP with the multi-agent system (MAS) associated with the petri net (RoP) in a dedicated platform having a spatial component or a decentralization of the system taking into account the individual behaviours. Keywords: education, school issues, Hierarchical Analysis Process (HAP), Geographic InformationSystem (GIS), Potential Education Indicator (PEI).
Autorenporträt
Jullino Serge RASAMISON bereitet seine Doktorarbeit in Sozialökonomie des Bildungswesens an der Universität Fianarantsoa vor. Er spezialisiert seine Forschung auf die Formalisierung der Planung und gerechte Verwaltung von Schulangelegenheiten und die Modellierung in einer innovativen technischen Umgebung und Methodik in Mathematik und Informatik.