Models of Relative Nearness Incidence Based on Standard Distance Entropy
Author(s) -
Liusan Wu,
Qingmei Tan,
Yuehui Zhang
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/910248
Subject(s) - mathematics , incidence (geometry) , entropy (arrow of time) , statistics , kullback–leibler divergence , geometry , physics , quantum mechanics
The model of grey nearness incidence cannot reflect the nearness degree of sequences correctly. Therefore, the model of relative nearness incidence of sequences, curves, and surfaces is suggested based on standard distance entropy to remove the current bottlenecks and its properties are studied. At last, three cases are exemplified to demonstrate the validity and practicability of relative nearness incidence. The proposed models have enriched the theory of grey nearness incidence, filled the defects of grey nearness incidence
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