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Entropy (information theory)

Known as: Shannon's entropy, Weighted entropy, Informational entropy 
In information theory, systems are modeled by a transmitter, channel, and receiver. The transmitter produces messages that are sent through the… Expand
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Papers overview

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Review
2019
Review
2019
Abstract Online product reviews (OPRs) provide abundant information for potential customers to make optimal purchase decisions… Expand
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Highly Cited
2007
Highly Cited
2007
Chapter 3 deals with probability distributions, discrete and continuous densities, distribution functions, bivariate… Expand
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Highly Cited
2004
Highly Cited
2004
  • J. Liang, Z. Shi
  • Int. J. Uncertain. Fuzziness Knowl. Based Syst.
  • 2004
  • Corpus ID: 44637939
Rough set theory is a relatively new mathematical tool for use in computer applications in circumstances which are characterized… Expand
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Highly Cited
2002
Highly Cited
2002
  • W. Guo
  • 2002
  • Corpus ID: 123732606
This paper analyzes the information view of rough set theory and compares it with the algebra view of rough set theory. Some… Expand
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Highly Cited
1998
Highly Cited
1998
Course Objectives: The course will study how information is measured in terms of probability and entropy, and the relationships… Expand
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Highly Cited
1994
Highly Cited
1994
Abstract In statistical physics, useful notions of entropy are defined with respect to some coarse-graining procedure over a… Expand
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Highly Cited
1992
Highly Cited
1992
Adapted waveform analysis uses a library of orthonormal bases and an efficiency functional to match a basis to a given signal or… Expand
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Highly Cited
1991
Highly Cited
1991
  • J. Lin
  • IEEE Trans. Inf. Theory
  • 1991
  • Corpus ID: 12121632
A novel class of information-theoretic divergence measures based on the Shannon entropy is introduced. Unlike the well-known… Expand
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Highly Cited
1988
Highly Cited
1988
With the use of a quantity normally scaled in multifractals, a generalized form is postulated for entropy, namelySq ≡k [1 – ∑i=1W… Expand
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Highly Cited
1986
Highly Cited
1986
  • B. Kosko
  • Inf. Sci.
  • 1986
  • Corpus ID: 205003915
Abstract A new nonprobabilistic entropy measure is introduced in the context of fuzzy sets or messages. Fuzzy units, or fits… Expand
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