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Nilanjan Bhowmick AIR 3, CSIR NET (Earth Science)
- UGC NET
- Library and Information Science
Entropy in the context of Information Science is :
(a) Measure which cannot be normalised by dividing it by information length. (b) Measure of unpredictability of the state or equivalently, of its average information content. (c) Average amount of information produced by a probabilistics stochastic source of data. (d) Way to measure diversity. Code :
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Eduncle Best Answer
Information entropy is defined as the average amount of information produced by a stochastic source of data. The measure of information entropy associated with each possible data value is the negative logarithm of the probability mass function for the value. Thus, when the data source has a lower-probability value (i.e., when a low-probability event occurs), the event carries more "information" ("surprisal") than when the source data has a higher-probability value. Entropy is a measure of unpredictability of the state, or equivalently, of its average information content. To get an intuitive understanding of these terms, consider the example of a political poll. Usually, such polls happen because the outcome of the poll is not already known. Entropy is one of several ways to measure diversity. Specifically, Shannon entropy is the logarithm of 1D, the true diversity index with parameter equal to 1.