A Multicriterion SDSS for the Space Process Control: Towards a Hybrid Approach

Abstract

Multicriterion classification methods traditionally employed in the spatial decision-making penalize the complex phenomena of interaction between the criteria. Indeed, the most classical procedure in the multicriterion evaluation consists in considering a simple weighted arithmetical average to incorporate information characterizing decision maker’s preferences on the set of criteria. However, in reality, the criteria interact (correlation, interchangeability, complementarity, ...) and the preferential independence hypothesis is rarely checked. The ultimate goal of this study is to optimize the quality of decision in the land management context. Therefore, a decision support model is designed to meet this objective and to claim with an extensible, generic and deterministic model based on the axiomatic of decision strategies authorizing the interactions between criteria. We define a new approach replacing the additivity property in the performance aggregation phase by a more reliable property: the growth using non-additive discriminant operators resulting from the fuzzy theory: Choquet’s Integral. Also, the suggested model allows the professionals to carry out diagnostics and proposes adapted actions by modelling the multi-actor negotiation and participation using multi-agents systems.