An enhanced fuzzy evidential DEMATEL method with its application to identify critical success factors
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DOI: 10.1007/s00500-018-3311-x
Abstract: Due to the frequent occurrence of accidental and destructive disasters, it is essential to improve the performance of emergency systems. Facing the fact that the performance of emergency system depends on various factors and it… read more here.
Keywords: dematel method; fuzzy evidential; enhanced fuzzy; method ... See more keywords
Retinal vessel segmentation using enhanced fuzzy min-max neural network
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DOI: 10.1007/s11042-019-08061-7
Abstract: Automated segmentation of retinal vessels plays a pivotal role in early diagnosis of ophthalmic disorders. In this paper, a blood vessel segmentation algorithm using an enhanced fuzzy min-max neural network supervised classifier is proposed. The… read more here.
Keywords: network; using enhanced; vessel segmentation; segmentation ... See more keywords
Enhanced fuzzy finite state machine for human activity modelling and recognition
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DOI: 10.1007/s12652-020-01917-z
Abstract: A challenging key aspect of modelling and recognising human activity is to design a model that can deal with the uncertainty in human behaviour. Several machine learning and deep learning techniques are employed to model… read more here.
Keywords: machine; fuzzy finite; enhanced fuzzy; human activity ... See more keywords
Enhanced fuzzy‐logic‐based power‐assisted control with user‐adaptive systems for human‐electric bikes
Sign Up to like & getrecommendations! Published in 2019 at "IET Intelligent Transport Systems"
DOI: 10.1049/iet-its.2019.0092
Abstract: With the increasing attention to sustainability, several studies have attempted to develop human-electric bikes which provide the power to assist the human rider from an electric motor when the rider is pedalling. For such systems,… read more here.
Keywords: electric bikes; user adaptive; power; enhanced fuzzy ... See more keywords