{"title":"Development of the fuzzy logic module to determine the expediency of event selection","authors":"Zakusylo M. Taras, V. Mesyura","doi":"10.1109/DAS54948.2022.9786119","DOIUrl":null,"url":null,"abstract":"To ensure personal success it is important to maintain balance between professional achievements, health, family wellbeing, etc. It is never an easy task. But that is where the essence of effectiveness lies, balance is the key to efficiency of the short term plans and long term goals. An approach is offered to find balance between the wish to see a child clean, and the building of relationship with said child in which he or she maintains own hygiene without the need for reminders. Unfortunately such an approach may cause an issue of overload, when the desire of accomplishing everything negatively affects the ability to focus, and causes burnout. To avoid the issue of overload it is recommended to use the software that will give advice on even selection based on the rules of balance and the matrix of Eisenhower. To automate the process of decision making in terms of the expediency of even selection and their inclusion in the long term plans on the basis of the matrix of Eisenhower it is suggested to use Mamdani fuzzy model. Representation of the individual interests of the users, their preferences and expectations by use of linguistic variables, allows the opportunity to build the most effective route to success. The linguistic variables for the indicator of expediency of event selection such as urgency, importance, overload, rest, motivation are reviewed. Examples of rules for determining the task expediency indicator and the part of the knowledge base of the fuzzy system are presented. An example of the application of fuzzy logic to the event of employee training is given and it is shown that the event corresponds to a sufficient level of expediency of the event selection.","PeriodicalId":245984,"journal":{"name":"2022 International Conference on Development and Application Systems (DAS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Development and Application Systems (DAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAS54948.2022.9786119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To ensure personal success it is important to maintain balance between professional achievements, health, family wellbeing, etc. It is never an easy task. But that is where the essence of effectiveness lies, balance is the key to efficiency of the short term plans and long term goals. An approach is offered to find balance between the wish to see a child clean, and the building of relationship with said child in which he or she maintains own hygiene without the need for reminders. Unfortunately such an approach may cause an issue of overload, when the desire of accomplishing everything negatively affects the ability to focus, and causes burnout. To avoid the issue of overload it is recommended to use the software that will give advice on even selection based on the rules of balance and the matrix of Eisenhower. To automate the process of decision making in terms of the expediency of even selection and their inclusion in the long term plans on the basis of the matrix of Eisenhower it is suggested to use Mamdani fuzzy model. Representation of the individual interests of the users, their preferences and expectations by use of linguistic variables, allows the opportunity to build the most effective route to success. The linguistic variables for the indicator of expediency of event selection such as urgency, importance, overload, rest, motivation are reviewed. Examples of rules for determining the task expediency indicator and the part of the knowledge base of the fuzzy system are presented. An example of the application of fuzzy logic to the event of employee training is given and it is shown that the event corresponds to a sufficient level of expediency of the event selection.