Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

On classification with missing data using rough-neuro-fuzzy systems

Robert K. Nowicki — 2010

International Journal of Applied Mathematics and Computer Science

The paper presents a new approach to fuzzy classification in the case of missing data. Rough-fuzzy sets are incorporated into logical type neuro-fuzzy structures and a rough-neuro-fuzzy classifier is derived. Theorems which allow determining the structure of the rough-neuro-fuzzy classifier are given. Several experiments illustrating the performance of the roughneuro-fuzzy classifier working in the case of missing features are described.

A finite-buffer queue with a single vacation policy: an analytical study with evolutionary positioning

Marcin Woźniak;  Wojciech M. Kempa;  Marcin Gabryel;  Robert K. Nowicki — 2014

International Journal of Applied Mathematics and Computer Science

In this paper, application of an evolutionary strategy to positioning a GI/M/1/N-type finite-buffer queueing system with exhaustive service and a single vacation policy is presented. The examined object is modeled by a conditional joint transform of the first busy period, the first idle time and the number of packets completely served during the first busy period. A mathematical model is defined recursively by means of input distributions. In the paper, an analytical study and numerical experiments...

Page 1

Download Results (CSV)