Information Entropy and Information Granulation-based Uncertainty Measures in Incomplete Information Systems
نویسندگان
چکیده
منابع مشابه
Information Entropy and Information Granulation-based Uncertainty Measures in Incomplete Information Systems
In this paper, concepts of information entropy and information granulation-based uncertainty measures are introduced in incomplete information/decision systems, and based on maximal consistent block technique, some variants of information entropy and information granulation are presented to measure the discernibility ability of an incomplete information system. Then, some important properties o...
متن کاملInformation entropy, rough entropy and knowledge granulation in incomplete information systems
†Key Laboratory of Ministry of Education for Computation Intelligence and Chinese Information Processing, School of Computer and Information Technology, Shanxi University, Taiyuan 030006, People’s Republic of China ‡Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, The Chinese Academy of Sciences, Beijing 100080, People’s Republic of China {Creighton Unive...
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Based on the intuitionistic knowledge content characteristic of information gain, the concepts of combination entropy CE(A) and combination granulation CG(A) in incomplete information system are introduced, their some properties are given. Furthermore, the relationship between combination entropy and combination granulation is established. These concepts and properties are all special instances...
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Many real world problems deal with ordering of objects instead of classifying objects, although most of research in data analysis has been focused on the latter. One of the extensions of classical rough sets to take into account the ordering properties is dominance-based rough sets approach which is mainly based on substitution of the indiscernibility relation by a dominance relation. In this p...
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Knowledge granulation and entropy are two important approaches to studying uncertainty in Pawlak’s information systems. In this paper, we introduce concepts of knowledge granulation, rough entropy and information entropy in interval-valued information systems, and discuss some important properties of them. From these properties, it can be shown that these measures which are proposed can provide...
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ژورنال
عنوان ژورنال: Applied Mathematics & Information Sciences
سال: 2014
ISSN: 1935-0090,2325-0399
DOI: 10.12785/amis/080466