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ASSighment Week in Review Discussion: Fuzzy Decision Making When uncertainty exists, how does one evaluate the universe of possible outcomes? Unfortunately, there is no one steadfast rule on how to anticipate what a correct decision might be. However, there are a set of tools and practices that healthcare administration leaders can use to help make the best decision possible given data for a particular set of circumstances. One such example is that of fuzzy decision making, wherein a healthcare administration leader attempts to wrap human expertise around a set of guidelines to enhance workflow and performance. While not all circumstances may lend themselves to fuzzy decision making, understanding what these tools are is a useful practice when managing a health services organization. For this Discu Reflect on the concept of fuzzy decision making for healthcare administration practice. Consider how you, as a current or future healthcare administration leader, may engage in fuzzy decision making for your health services organization. By Day 3 Post a description of how you would define fuzzy decision making for healthcare administration practice. Then, explain how you might implement fuzzy decision making to evaluate decisions when uncertainty exists. Provide an example where fuzzy decision making might be important for your work or life, and explain why. Be specific and provide examples

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Fuzzy decision making is the decision-making method to choose from the set of feasible solutions to reach the aim in the various status of a specified situation. On using such a methodology, the costs in healthcare can be reduced. Fuzzy reasoning benefits in planning a patient's healthcare and also the healthcare administration. Allocation of health resources and prioritization of goals can be done more efficiently by fuzzy decision-making methodologies.
Various tools can be used to estimate the healthcare risks but to accommodate these results with the individual factors like age, sex, daily activities of a patient, fuzzy decision making can play a vital role.
In the healthcare sector, Fuzzy decision making is also used in calculating the rate of intravenous fluids. By using the factors like mean pressure in the arteries and the urine excretion per hour we can apply fuzzy decision making. The intravenous fluid rate should be lessened if the mean pressure in the arteries and urine excretion are too high, and it should be increased if both are them are showing a decline. Fuzzy decision-making can be used for fast decision making in emergency situations.