Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk 2018
DOI: 10.5220/0006813201570165
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The Fuzzy Mortality Model based on Quaternion Theory

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“…In particular, we can extend the assessment of imprecision in [3] to our proposed model (12) to evaluate the imprecision due to the crisp parameters of the adaptive model. Following a similar procedure to the case with output and crisp inputs we can express the implicit model in the following way: (16) where is represent the design matrix of the absolute crisp inputs . The system of equations (16) may not verify the iterative solutions in (15), but can be utilized in order to get estimates of which are compatible with the parameters in (12).…”
Section: Theorem (31)mentioning
confidence: 99%
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“…In particular, we can extend the assessment of imprecision in [3] to our proposed model (12) to evaluate the imprecision due to the crisp parameters of the adaptive model. Following a similar procedure to the case with output and crisp inputs we can express the implicit model in the following way: (16) where is represent the design matrix of the absolute crisp inputs . The system of equations (16) may not verify the iterative solutions in (15), but can be utilized in order to get estimates of which are compatible with the parameters in (12).…”
Section: Theorem (31)mentioning
confidence: 99%
“…A population with unhealthy infants harms the next generation in too many levels and it is natural to think that any factors that affect human development also affect IMR in the same country, and vice versa [15]. Infant mortality rate is mathematically defined as the number of infants dying before reaching one year of age, per 1,000 live births in a given year as follows [16]:…”
Section: Practical Application: Infant Mortality Ratementioning
confidence: 99%