Abstract
Abstract An important phase in the application of the General System Problem Solving framework (GSPS∥ is the choice of the sampling frequency of relevant variables. Optimal sampling frequency is generally a compromise between our endeavour to catch all dynamical changes of a signal without having redundant samples. This problem is not completely solved for crisp metric variables and very little is known about sampling qualitative and fuzzy variables. In this paper, one possible approach based on the data compression is suggested for determining the optimal sampling frequency of ordinal and nominal variables. The submitted approach can be on the specific conditions extended for the fuzzy variables also
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
