This paper addresses the problem of the optimal design of batch plants with imprecise demands and proposes an alternative treatment of the imprecision by using fuzzy concepts. For...
A. Dietz, Alberto A. Aguilar-Lasserre, Catherine A...
We present the application of a recently introduced nonparametric predictive inferential method to compare two groups of data, consisting of observed event times and right-censori...
The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information...
The paper deals with the modelling of dynamical processes based on Soft Computing methods. The structure of a Dynamic Fuzzy Model is illustrated on a linear dynamic system of firs...
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...