12/30/2023 0 Comments Fuzzytime![]() ![]() This program is free software you can redistribute it and/or modify it under the same terms as Perl itself. Although Fuzzy logic and Fuzzy Mathematics is a widespread subject and there is a vast. You can also look for information on this module at:Ĭopyright (c) 2007 Jerome Quelin, all rights reserved. Time::Fuzzy development takes place on - feel free to join us. I will be notified, and then you'll automatically be notified of progress on your bug as I make changes. Please report any bugs or feature requests to, or through the web interface at. This method is also the overloaded stringified method. Hashes for 圓-none-any. Return the fuzzy string of the current time of the object. fuzziness => $fuzziness: the wanted fuziness, defaults to current $Time::Fuzzy::FUZZINESS.Īdditionally, the accessors dt and fuzziness are available. In fuzzy time series, fuzzy relational equations are employed based on relation matrix to de- termine the fuzzy relations between time series data 2-4,7 in. This video shows how to use the FuzzyTime Android clock widget. dt => $dt: a DateTime object, defaults to current time. This paper presents an observer-based decentralized fuzzy control technique for a class of discrete-time nonlinear large-scale systems with uncertain interconnections. This chapter mainly uses fuzzy time series for interval prediction and long-term significance level analysis. In that case, the following methods are available. If you prefer, you can use Time::Fuzzy in a OOP style. If no argument, return the (fuzzy) current time. Nearby cities include Dearing, Cotton Valley, Wayside. ![]() The Fawn Creek time zone is Central Daylight Time which is 6 hours behind Coordinated Universal Time (UTC). Find directions to Fawn Creek, browse local businesses, landmarks, get current traffic estimates, road conditions, and more. Return the fuzzy time defined by $dt, a DateTime object. The City of Fawn Creek is located in the State of Kansas. The accepted values are low, medium or high. Fuzzy time series theory is a concept of artificial intelligence that can use to conduct forecasting technique. You can change that by modifying $Time::Fuzzy::FUZZINESS. This Perl module does just the same: it adds some human fuzziness to the way computer deal with time.īy default, Time::Fuzzy is using a medium fuzziness factor. $Time::Fuzzy::FUZZINESS = 'low' # or 'high', 'medium' (default) Time::Fuzzy - Time read like a human, with some fuzziness SYNOPSIS use Time::Fuzzy ![]()
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