Situation-Aware Decision-Support During Man-Made Emergencies

摘要

Situation identification and its analysis lead to some situation-aware state of knowledge. Uncertainties occur during this process and vastly influence the advice or alerts generated or recommendations attained. A common methodological framework based on non-monotonic logic will gready help in the formalization and mitigation of situation awareness. The default logic allows reasoning under uncertainty along with reasoning with incomplete information, hence found the best candidate to deal with non-monotonic logic. This paper provides an approach for the study of the non-monotonicity of human commonsense reasoning, specifically for concepts like psychological prototypes and the philosophical Natural Kinds by exploiting semantic web technologies. Providing a quick at the same time right decision-support greatly depends upon the apprehension of the situation. We provide ways to perceive the reality timely, analyze it using past experiences, anticipate and predict next steps and possible actions for subsequent decision making and performance. Ordinarily, decision-makers pay attention to knowledge abstractions while taking a little notice of lower-level details. Making the end users not only identify the situation but getting aware of it will fetch all the benefits. We have utilized a hybrid of top-down and bottom-up reasoning along with the Case-based and rule-based reasoning to bestow decision support in the domain of man-made emergencies.