Risk became the crucial decision making criteria in evaluation of some control actions in power systems, but very often, these decisions are made in a highly uncertain environment. In this paper, a new graphical tool for risk assessment and decision making under uncertainty – hybrid influence diagram with fuzzy probability values and fuzzy random variables is proposed. Influence diagram is a ge...

The fresh cold chain network is complex, and the interruption risk can significantly impact it. Based on Bayesian theory, we constructed a topology structure. probability of each root node was predicted calculated based fuzzy set theory. evaluation model then validated improved through virus transmission transmission. Sensitivity analysis used to determine significant factors. Several strategie...

the problem of hypothesis testing with a nuisance parameter is considered. two methods forusing fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. these methods areneither a pure classical nor a pure bayesian approach to hypothesis testing, but rather related to both. afew known examples and their applications, which cannot be studied by the parametric statisticalmethod...

The safety level of the northern sea route (NSR) is a common concern for related stakeholders. To address risks triggered by disruptions initiating from harsh environment and human factors, comprehensive framework proposed based on perspective resilience. Notably, resilience NSR decomposed into three capacities, namely, absorptive capacity, adaptive restorative capacity. Moreover, to are identi...

in this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and newton-cotesmethods with positive coefficient for the solution of linear fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. here neural network isconsidered as a part of large field called neural computing orsoft computing. we propose alearning algorithm from ...