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Hong Zhang and Zhiwei Wu
Shannon entropy is the most popular method for quantifying information in a system. However, Shannon entropy is considered incapable of quantifying spatial data, such as raster data, hence it has not been applied to such datasets. Recently, a method for ...
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Jingyi Xu, Xiaoying Liang and Hai Chen
From the perspective of landscape, it is important to evaluate the landscape sustainability of ecologically fragile areas and explore temporal and spatial evolution laws to promote their sustainable development. Presently, most studies on the analysis of...
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Roberto Zivieri
The study of the thermodynamic properties of topological defects is important not only for understanding their magnetic properties but also for suggesting novel applications. In this paper, the statistical and statistical thermodynamic properties of a po...
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Contantin BRATIANU
Pág. 353 - 366
The purpose of this paper is to explore the knowledge entropy processes within organizations and how they are reflected in the knowledge management and organizational intellectual capital. Entropy is a very powerful concept, which can be found today in a...
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