The predictive analysis of natural disasters and their consequences is challenging because of uncertainties and incomplete data. The present article studies the use of variable fuzzy sets (VFS) and improved information diffusion method (IIDM) to construct a composite method. The proposed method aims to integrate multiple factors and quantification of uncertainties within a consistent system for...

The present report further investigates the multi-criteria decision making tool named Fuzzy Compromise Programming. Comparison of different fuzzy set ranking methods (required for processing fuzzy information) is performed. A complete sensitivity analysis concerning decision maker’s risk preferences was carried out for three water resources systems, and compromise solutions identified. Then, a ...

When major emergencies or accidents occur, risk evaluation and prediction are the most important means to reduce their impact. Typical uses failure mode effects analysis (FMEA) method for failure-risk ranking control. However, when faced with severe special infectious diseases such as COVID-19, there many cognitive information uncertainties that FMEA is unable effectively handle. To deal issue ...

Risk assessment is a popular and important tool in decision making process. Risk assessment is generally performed using models and model is a function of some parameters which are usually affected by uncertainty. Here, we consider that model parameters are affected by epistemic uncertainty. To represent epistemic uncertainty in general triangular fuzzy number or trapezoidal fuzzy numbers are u...

Supply Chain Management is an important deal between suppliers and customers which lead to the customer negotiation of prices at varying rates. Designing an effective strategy for bidding customer orders is also an intricate problem due to intense competition in fast changing market environment. With increasing technological advancement the trade environment has become more sophisticated and so...

Spatial information for coastal risk assessment is inherently uncertain. This uncertainty may be due to different spatial and temporal components of geospatial data and to their semantics. The spatial uncertainty can be expressed either quantitatively or qualitatively. Spatial uncertainty in coastal risk assessment itself arises from poor spatial representation of risk zones. Indeed, coastal ri...

The new method for risk assessment of the man-machine system functioning is proposed. The feature of the method is combining the fuzzy fault tree analysis and theory of fuzzy reliability of algorithmic processes. This provides a consideration from a unified framework the structural accidents with algorithms of its detecting and avoiding. Method also allows to use fuzzy “if-then” rules about man...