Paper Info
Title
Rough set for quantitative analysis of characteristic information in metallogenic prediction.
Abstract
Purpose - The purpose of this paper is to extract the characterized mineralization information from large numbers of data obtained from geologic exploration based on tough set; analyze the inherent relation between mineral information genes and metallogenic probability, and offer the scientific basis for target prediction. Design/methodology/approach - Mineral information includes all kinds of relative metallogenic information In order to extract comprehensive metallogenic prediction information, it is necessary to filter initial observation information to emphasize the factors that are most advantageous to metallogenic prognosis. Rough set can delete Irrespective or unimportant attributes on the premises of no information missing and no classification ability changing, without supplementary information or prior knowledge, which has important theoretic and practical value for metallogenic prognosis Findings - The association and importance of geological information referring to prospecting are found out through attribute reduction based on rough set Originality/value - The analysis of geological and mineral information based on rough set is a novel approach for high-dimensional complex non-deterministic polynomial problems which are predominant in geological research The research successfully extracts characterized mineralization information to offer the scientific basis for target prediction.
Year
DOI
Venue
2009
10.1108/03684920910994321
KYBERNETES
Keywords
Field
DocType
Minerals,Geology,Cybernetics,Data collection
Data collection,Data mining,Prospecting,Computer science,Rough set,Cybernetics
Journal
Volume
Issue
ISSN
38
10
0368-492X
Citations 
PageRank 
References 
1
0.36
4
Authors
6
Name
Order
Citations
PageRank
Yanbin Yuan114017.67
Ya-qiong Zhu210.36
You Zhou310.36
N. R. Sælthun410.36
Wei Cui5145.29
Jiejun Huang643.12