@inproceedings{31331a76606a484e84b776f84d47880f,
title = "Perception based hybrid intelligent systems in petroleum applications",
abstract = "We describe the methods of processing of perception based information in hybrid intelligent systems. Several innovative techniques like a multi-set based algebra of qualitative perception-based uncertainties and perception-based data mining form the technological framework of the approach. In the paper, we discuss the algebra of strict monotonie operations and inference procedures based on perception-based evaluations of uncertainty of facts and rules. They are characterized by multi-set-based representation of evaluations of uncertainty and by multi-valued inference of conclusions in expert system rules. The proposed method is implemented in the CAPNET Expert System Shell. We also discuss the method of evaluation of perception-based patterns in time series data bases. The approach is illustrated by examples of diagnostics of excessive water production in petroleum wells combining both methods.",
author = "Sheremetov, {L. B.} and Batyrshin, {I. Z.} and Filatov, {D. M.}",
year = "2006",
doi = "10.1109/NAFIPS.2006.365486",
language = "Ingl{\'e}s",
isbn = "1424403634",
series = "Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS",
pages = "649--654",
booktitle = "Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS",
note = "NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society ; Conference date: 03-06-2006 Through 06-06-2006",
}