Generalised fuzzy aggregation in estimating the risk of desertification of a burned forest

This paper investigates two aspects of using Fuzzy Logic with a GIS: The use of non-conventional aggregation operators for conjunctive and disjunctive reasoning and the use of weights when combining aggregates of different significance to the classification. Two methods of weighting are used, weights as powers of the membership functions, and the novel concept of membership functions that take values greater than 1. The two approaches are investigated in conjunction with 121 possible combinations of aggregation operators that are used to reason in the disjunctive and conjunctive level of the problem of assessing the risk of desertification after a forest fire.