This program is free software you can redistribute it and/or modify it under the same terms as Perl itself. You can also look for information on this module at:Ĭopyright (c) 2007 Jerome Quelin, all rights reserved. So if the current date is 20:00:00 I want the trigger to fire, but if the current date is 20:00:00 then the trigger would not fire. Time::Fuzzy development takes place on - feel free to join us. What I want to be able to do is have a zabbix trigger that if the value on that Epoch time is less than 32 days from the current date to send an alert. ![]() 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. These systems have been applied to various engineering fields, such as control and image recognition, and have encouraged the search for development tools that provide facilities for the design, simulation, and implementation. This method is also the overloaded stringified method. A Fuzzy Inference System (FIS) is a system that represents human reasoning based on fuzzy if-then rules to extract valid results from imprecise or uncertain information. I am following this documentation to check the functions available. I need to compare between my item's value and check if it is 2 minutes earlier than the current timestamp. Return the fuzzy string of the current time of the object. fuzzytime() you mentioned is suposed to be between the timestamp of the item and the zabbix's time. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Instead of 16:40, you would see 'twenty to five'. fuzziness => $fuzziness: the wanted fuziness, defaults to current $Time::Fuzzy::FUZZINESS.Īdditionally, the accessors dt and fuzziness are available. With FuzzyTime you get a simple, human readable clock in your menubar, that can be used instead of your computer's built in clock. dt => $dt: a DateTime object, defaults to current time. In that case, the following methods are available. If you prefer, you can use Time::Fuzzy in a OOP style. Author & abstract Download 10 References. If no argument, return the (fuzzy) current time. A Dynamic Weighted Distancedbased Fuzzy Time Series Neural Network with Bootstrap Model for Option Price Forecasting. Return the fuzzy time defined by $dt, a DateTime object. The accepted values are low, medium or high. ![]() MINDS - Machine Intelligence and Data Science Lab. You can change that by modifying $Time::Fuzzy::FUZZINESS. The main methods described are: Delphi and jury of executive opinion cross-impact analysis probability forecasting econometric forecasting and fuzzy time. Forecasting in Non-stationary Environments with FuzzyTime Series. 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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