NDLI: Representation of a trend in OFN during fuzzy observance of the water level from the Crisis control center

Content Provider	IEEE Xplore Digital Library
Author	Czerniak, J.M. Dobrosielski, W.T. Apiecionek, L. Ewald, D.
Copyright Year	2015
Description	Author affiliation: Inst. of Technol., Casimir the Great Univ. in Bydgoszcz, Bydgoszcz, Poland (Czerniak, J.M.; Dobrosielski, W.T.; Apiecionek, L.; Ewald, D.)
Abstract	This paper presents the issue of fuzzy arithmetic calculations in two different notations. The well-known L-R notation proposed by Dubois-Prade, which enjoys a well-earned recognition of the researchers dealing with fuzzy logic was presented on one hand. On the other hand, a OFN notation introduced by Kosiński was discussed. Comparative calculations were performed using the data of the benchmark “Dam and Crisis control center paradox”. That benchmark is available in two versions, where the opposite trend is visible at the dam and at the CCC (Crisis control center). In one of the versions, the water level at the observed area decreases and increases at the dam, while in the other version the situation is opposite. The trend difference detection can aid the short-term forecast of the situation change at the monitored area. Results of the applied calculations in OFN notation show that this arithmetic is sensitive to trend differences related to the order characteristic for those numbers. Relationship between the fuzzy logic and the trend of the observed phenomena is an added value to the generalization of OFN and it is also a good signal for the future development of applications of such fuzzy calculations, being their unique feature at the same time.
Starting Page	443
Ending Page	447
File Size	278029
Page Count	5
File Format	PDF
ISSN	23005963
e-ISBN	9788360810651
DOI	10.15439/2015F217
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-13
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Polish Information Processing Society (PIPS)
Subject Keyword	Fuzzy logic Computer science Fuzzy sets Market research Mathematical model Tides Information systems
Content Type	Text
Resource Type	Article

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