−− This paper presents a new Fuzzy Dynamic Programming model that calculates the optimum solution of problems with uncertainties in data defined by fuzzy sets. The result includes the determination of an Intrinsic Risk Threshold of the solution. Extrinsic Risk Thresholds may also be set by a Decision Maker, in order to obtain more robust solutions. The technique is applied to the calculation of...

in statistical inference, the point estimation problem is very crucial and has a wide range of applications. when, we deal with some concepts such as random variables, the parameters of interest and estimates may be reported/observed as imprecise. therefore, the theory of fuzzy sets plays an important role in formulating such situations. in this paper, we rst recall the crisp uniformly minimum ...

In this paper, we present an agent-based system for distributed risk assessment of breast cancer development employing fuzzy and probabilistic computing. The proposed fuzzy multi agent system consists of multiple fuzzy agents that benefit from fuzzy set theory to demonstrate their soft information (linguistic information). Fuzzy risk assessment is quantified by two linguistic variables of high ...

Background and objectives - A hybrid MCDM approach is presented to evaluate and prioritize the disruptions in the angiography process, in a fuzzy environment. The proposed approach is applied to a real case in a public hospital.Methods – In this study, a new approach is utilized based on fuzzy MCDM methods. The disruptions are identified using the experts' opinions. The...

This paper is devoted to the presentation of a risk-management methodology (RiMaHCoF) that is specifically tailored for the health-care environment. The proposed methodology includes five successive stages in all, namely initiation, domain analysis, risk assessment, risk analysis and domain monitoring. This paper focuses on the risk analysis stage. The RiMaHCoF (" Risk Management in Health Care...