Risk tolerance measure for decision-making in fuzzy analysis: a health risk assessment perspective

摘要: In risk assessment studies it is important to determine how uncertain and imprecise knowledge should be included into the simulation models. Thus, proper evaluation of uncertainties has become a major concern in environmental health studies. Previously, researchers have used probability theory, more commonly Monte Carlo analysis, incorporate uncertainty analysis However, conducting probabilistic assessment, analyst often suffers from lack data or presence imperfect incomplete about process modeled also parameters. Fuzzy set theory tool that been propagating information Such result fuzzy risks which are associated with membership functions. Since possibilistic relatively new, standard procedures for decision-making acceptability resulting respect crisp by regulatory agency not fully established. this paper, we providing review several available approaches may decision-making. These involve defuzzification techniques, possibility necessity measures. study, propose new measure, tolerance can decision making. The measure provides an effective metric evaluating compliance criterion. different functions evaluated criterion using possibility, necessity, measures results discussed comparatively.