An intelligent fuzzy-based emergency alert generation for persons with episodic memory decline problems

2021 ◽  
pp. 1-10
Author(s):  
Konstantina Chrysafiadi ◽  
Evangelia-Aikaterini Tsichrintzi

Many humans deal with problems that concern episodic memory decline. These problems can cause annoying, and sometimes, dangerous incidents, like failing to recall the name of a friend or forgetting to take a medicine or turn off the cooker. Concerning the above, this paper presents a fuzzy rule-based mechanism that generates emergency alerts when a dangerous situation is caused by an inconsistency in the human’s actions in the home environment. In such a way, the system protects persons with episodic memory decline problems or lapses of attention from dangerous situations that may be caused by their memory disorder and allows them to complete an everyday activity. For the paper’s needs the application of the presented mechanism is limited to the usage of a cooker. The system takes as input the time, the size and the content of the pot that is used to the cooker, calculates the degree of emergency and describes it using fuzzy sets and, finally, applies rules over the fuzzy sets to generate alert messages that notify the monitored person about the next action that s/he has to do in order to complete a particular activity. For the evaluation of the system, we have developed a simulation program that asks users to complete some activities during a specific time period. The system embeds the presented fuzzy rule-based mechanism and monitors the user’s actions and generated alerts, which concern the usage of the stove burner. The simulation software was used by 15 users. Their reactions and opinions about the system’s alerts and the assistance it offers, are positive.

2018 ◽  
Vol 62 ◽  
pp. 423-440 ◽  
Author(s):  
M. Ranjbar ◽  
S. Effati ◽  
A.V. Kamyad

2009 ◽  
Vol 08 (02) ◽  
pp. 175-188 ◽  
Author(s):  
J. Brooke Shipley ◽  
Margaret F. Shipley

A rough set theory model utilising fuzzy sets was developed to investigate artificial reef placement based on fish ecosystem components. The model incorporates consumption estimates and presumed foraging behavior to provide a rule-based approach to determine how far apart artificial reefs must be placed to eliminate density-dependent competition for prey resources. Simulation of the ecosystem parameters and potential reef distances as triangularly defined fuzzy sets generates input into the rules. Then, based upon the strength of belief in a rule, the artificial reef placement location can be accepted or rejected as being conducive to consumption at the reef and foraging behaviour of the species. Ease of utilisation of the model is highlighted by spreadsheet application to a red snapper (Lutjanus campechanus) ecosystem in Gulf of Mexico waters off the coastal shelf of Alabama. Implications exist for similar applications to other ecosystems and different fish species. Further applications are relevant beyond fish management when viewed as a general managerial decision-making process involving fuzzy sets and simulation.


2012 ◽  
Vol 39 (15) ◽  
pp. 11961-11969 ◽  
Author(s):  
Shyi-Ming Chen ◽  
Wen-Chyuan Hsin ◽  
Szu-Wei Yang ◽  
Yu-Chuan Chang

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