AN ITERATIVE DECISION SUPPORT SYSTEM FOR MANAGING FIRE EMERGENCIES

摘要

The aim of this paper is to present a Decision Support System (DSS) that deals with fire emergencies in buildings. The dynamics of this DSS lies in an estimation of the decision outcomes of each alternative computed via a net of concepts and a set of evolution functions that defines how the state of the world will evolve depending on the considered alternative. The DSS scores each alternative calculating their expected utility and so, it requires a probability value associated with each estimated outcome. The estimated values are bounded using fuzzy set theory, which also provides an easy method for assigning probability values. The proposed DSS takes into account that it could be necessary to carry out more than one alternative to mitigate a fire emergency.