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INVSFS: A MS-Fortran 5.0 program for stress inversion of heterogeneous fault/slip data using the fuzzy C-lines analysis technique

Authors
Journal
Computers & Geosciences
0098-3004
Publisher
Elsevier
Publication Date
Volume
31
Issue
3
Identifiers
DOI: 10.1016/j.cageo.2004.10.004
Keywords
  • Stress Inversion
  • Heterogeneous
  • Fault/Slip Data
  • Fuzzy C-Lines Analysis Technique

Abstract

Abstract Measured fault/slip data are commonly heterogeneous in nature. A critical issue of stress inversion is how to separate them into homogeneous subsets. In the parameter space, data vectors in each subset tend to distribute toward a hyperplane, whose solution of stress vector we solve for. The separation procedure therefore becomes recognition of linear structures of the entire data set. In this paper, a MS-Fortran code is presented for stress estimation using the fuzzy C-lines analysis technique. It is automatic in looking for the optimal stress estimates that have the largest partition coefficients within a specified range of division number. It is finally applied to one example of the feasibility of the inversion method.

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