2006Unpublished venueRequires access

The Application of Fuzzy Pattern Recognition in the Equipment Management Comprehensive Evaluation

AO De-mu

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Abstract

It is meaningful to set up a management index system of enterprise equipment and to employ a reasonable equipment management comprehensive evaluation method for improving enterprise equipment management level and converting the present management pattern, a qualitative and quantitative combined management pattern, to a quantitative management pattern. The article provides an equipment management comprehensive evaluation method based on fuzzy pattern, in addition advances beneficial supplement to other evaluation methods according to different priorities of all kinds of factors.

About this research paper

What this paper is about

It is meaningful to set up a management index system of enterprise equipment and to employ a reasonable equipment management comprehensive evaluation method for improving enterprise equipment management level and converting the present management pattern, a qualitative and quantitative combined management pattern, to a quantitative management pattern. The article provides an equipment management comprehensive evaluation method based on fuzzy pattern, in addition advances beneficial supplement to other evaluation methods according to different priorities of all kinds of factors.

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Available abstract

It is meaningful to set up a management index system of enterprise equipment and to employ a reasonable equipment management comprehensive evaluation method for improving enterprise equipment management level and converting the present management pattern, a qualitative and quantitative combined management pattern, to a quantitative management pattern. The article provides an equipment management comprehensive evaluation method based on fuzzy pattern, in addition advances beneficial supplement to other evaluation methods according to different priorities of all kinds of factors.

Key concepts: Computer science, Fuzzy logic, Set (abstract data type), Fuzzy set, Enterprise management, Process management, Data mining, Risk analysis (engineering)

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