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Efficient Reduction on Decision Implication

2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2020
With the growth of the data table, the number of the generated concepts increases dramatically, and it makes the decision-making more complex. Different from the existing related works that mainly focused on acquisition of decision rules based on decision formal context, this paper focuses on reduction on decision implication, by means of computing the
Qiang Lin
exaly   +2 more sources

Fuzzy decision implication canonical basis

International Journal of Machine Learning and Cybernetics, 2018
Fuzzy decision implication (FDI) is regarded as a basic form of knowledge representation in fuzzy decision based formal concept analysis. How to reduce redundant FDIs and generate an informative and minimal set of FDIs from a given set of FDIs is the main concern in the study of FDI.
Yanhui Zhai, Deyu Li, Zhai Yanhui
exaly   +2 more sources

The role a fuzzy implication plays in a multi-criteria decision algorithm

open access: yesInternational Journal of General Systems, 2013
We introduce a similarity measure between fuzzy sets using a fuzzy implication. We investigate for the eight most important potential properties of fuzzy implications, which ones should be taken into consideration to measure the similarity, and ...
Etienne Kerre
exaly   +2 more sources

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