Neutrosophic Entropy Measures For The Normal Distribution Theory And Applications is popular PDF and ePub book, written by Rehan Ahmad Khan Sherwani in 2024-09-21, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Neutrosophic Entropy Measures For The Normal Distribution Theory And Applications can be Read Online from any device for your convenience.
Neutrosophic Entropy Measures For The Normal Distribution Theory And Applications Book PDF Summary
Entropy is a measure of uncertainty and often used in information theory to determine the precise testimonials about unclear situations. Different entropy measures available in the literature are based on the exact form of the observations and lacks in dealing with the interval-valued data. The interval-valued data often arises from the situations having ambiguity, imprecise, unclear, indefinite, or vague states of the experiment and is called neutrosophic data. In this research modified forms of different entropy measures for normal probability distribution have been proposed by considering the neutrosophic form data. The performance of the proposed neutrosophic entropies for normal distribution has been assessed via a simulation study. Moreover, the proposed measures are also applied to two real data sets for their wide applicability.
Detail Book of Neutrosophic Entropy Measures For The Normal Distribution Theory And Applications PDF
- Author : Rehan Ahmad Khan Sherwani
- Release : 21 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 16 pages
- Language : English
- PDF File Size : 13,9 Mb
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