AI controlled simulation based environmental assessment

Abstract

Environmental assessment as complex assignment usually needs to use substitute economical methodologies to estimate environmental state instead of using direct valuing, since there are no absolute points of references and cross-couplings of causes and impacts are not transparent. In cases, when quantifying and clustering is ambiguous usage of FUZZY set theory can be suggested. AI controlled simulation assists in identifying of unknown cross-couplings, and in determining of relative importances from different points of views. This article highlights a complex simulation based environmental assessment methodology.