Results 291 to 300 of about 10,673,868 (348)
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On the entropy of fuzzy measures
IEEE Transactions on Fuzzy Systems, 2000Fuzzy measures provides a structure for modeling the knowledge available about variables whose values are unknown and uncertain. A large class of different types of uncertainty can be represented in this framework. In this work, we provide a measure of entropy that can be used to calculate the amount of uncertainty associated with a fuzzy measure.
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Fuzzy Measures: Collectors of Entropies
2007In the fuzzy setting we define a collector of entropies, which allows us to consider the reliability of observers. This leads to a system of functional equations. We are able to find the general solution of the system for collectors, which are compatible with a law of the kind "Inf" in [2]. Finally we give a class of solutions for a collector for which
VIVONA, Doretta, M. Divari
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Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy
Information Fusion, 2019Multi-sensor data fusion technology plays an important role in real applications. Because of the flexibility and effectiveness in modeling and processing the uncertain information regardless of prior probabilities, Dempster–Shafer evidence theory is ...
Fuyuan Xiao
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GENERAL ENTROPY OF GENERAL MEASURES
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002The concept of entropy is an important part of the theory of additive measures. In this paper, a definition of entropy is introduced for general (not necessarily additive) measures as the infinum of the Shannon entropies of "subordinate" additive measures. Several properties of the general entropy are discussed and proved.
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A history of graph entropy measures
Information Sciences, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matthias Dehmer, Abbe Mowshowitz
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Entropy as a measure of database information
[1990] Proceedings of the Sixth Annual Computer Security Applications Conference, 2002An estimate of the information a database contains and the quantification of the vulnerability of that database to compromise by inferential methods is discussed. Such a measure could be used to evaluate the deterrent value of extant protection methods and provide a measure of the potential for inferential compromise through the use of one of the known
Elizabeth A. Unger +2 more
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Visual Perception Entropy Measure
SMPTE Motion Imaging Journal, 2018This paper is about a theoretical framework on perceptual reproduction quality assessment. Visual perception is the main theme for two approaches on image metrics: visual performance and image quality.
Francois Hel
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Minimum entropy and information measure
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 1998Kapur et al. (1995) introduced the MinMax information measure, which is based on both maximum and minimum entropy. The major obstacle for using this measure, in practice, is the difficulty in finding the minimum entropy. An analytical expression has already been developed for calculating the minimum entropy when only variance is specified.
Lin Yuan, H. K. Kesavan
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Entropy as a measure of operational flexibility
European Journal of Operational Research, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eyas Shuiabi +2 more
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How suitable is entropy as a measure of urban sprawl?
Landscape and Urban Planning, 2019Urban sprawl has found widespread attention among scholars, planners, and policy makers. It has been defined and measured in various ways, and there is still no general agreement on how to measure and control urban sprawl and how to prevent its many ...
N. Nazarnia +2 more
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