Development of the fuzzy logic module to determine the expediency of event selection

Zakusylo M. Taras, V. Mesyura
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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.
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开发模糊逻辑模块,确定事件选择的便捷性
为了确保个人成功,在职业成就、健康、家庭幸福等方面保持平衡是很重要的。这从来都不是一件容易的事。但这就是效率的本质所在,平衡是短期计划和长期目标效率的关键。我们提供了一种方法,在看到孩子干净的愿望和与孩子建立关系之间找到平衡,在这种关系中,他或她保持自己的卫生,而不需要提醒。不幸的是,这种方法可能会导致超负荷的问题,当想要完成所有事情的欲望对集中注意力的能力产生负面影响时,就会导致倦怠。为了避免过载问题,建议使用基于平衡规则和艾森豪威尔矩阵的偶数选择建议软件。在艾森豪威尔矩阵的基础上,为了实现决策过程的自动化,使均匀选择的便捷性和纳入长期计划,建议使用Mamdani模糊模型。通过使用语言变量来表达用户的个人兴趣、他们的偏好和期望,使我们有机会建立通往成功的最有效途径。对事件选择权宜性指标的语言变量,如紧迫性、重要性、过载、休息、动机等进行了综述。给出了确定任务便利度指标的规则示例和模糊系统知识库的组成部分。最后给出了模糊逻辑在员工培训事件中的应用实例,结果表明该事件符合事件选择的充分权宜性。
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