This paper examines the traditional architecture of fuzzy expert reasoning and suggests a reorientation, which is simpler, more intuitive, and more implementable. This new approach centers on first determining the degree of satisfaction that a rule applies to the current situation, and then using this degree of satisfaction to qualify the rule’s conclusion. This provides a theoretical basis for...

Policy-makers and planners have to make decisions in the face of varying degrees of uncertainty and risk. SimCoastTM is an intelligent computing system designed to addresses these problems explicitly. Here we look at how fuzzy logic and expert systems two of the fundamental approaches within SimCoastTM can be used to improve decision-making in relation to conditions of high levels of uncertaint...

In this paper, an integrative strategy is proposed to solve synthesis problems in non-connict cases in distributed expert systems (DESs) based on fuzzy logic operations. In this strategy, the synthesis situations is identiied as overlap and disjoint cases based on relationships of the evidence which is used to derive the solution from expert systems (ESs). Two synthesis models, Strategy1, and S...