Method for determining weight of big customer value evaluation indexes based on principal component analysis method

Abstract

The invention discloses a method for determining the weight of big customer value evaluation indexes based on a principal component analysis method, which comprises the steps of extracting a plurality of big customer value evaluation indexes and corresponding evaluation index data from a power marketing information management system in a statistical period; importing the evaluation index data into principal component analysis software, firstly performing applicability testing, and then performing principal component analysis after passing the test to obtain principal components, a total variance explanation table and a principal component load matrix; determining the coefficient of each evaluation index in different principal component linear combinations according to the total variance explanation table and the principal component load matrix; and calculating the weight of each evaluation index. The weight of each big customer value evaluation index is determined by adopting the principal component analysis method, thereby not only being capable of avoiding the deviation caused by human factors, but also being simpler compared with the existing methods at the same time.

Description

technical field [0001] The invention relates to a method for determining the weight of a key customer value evaluation index based on a principal component analysis method, and belongs to the field of power key customer value evaluation. Background technique [0002] With the development of the electricity market, the electricity demand of large electricity customers presents diversified and niche characteristics, and the competitiveness of traditional uniform services has declined. In order to cope with the complex and ever-changing market environment, how to correctly evaluate customer value, identify and manage customers, maintain customer resources, and enhance value customer loyalty, so as to fully carry out reasonable resource allocation without increasing costs, improve business and Service level has become an important part of the innovation and power marketing system, and it is also the primary link and important starting point for traditional power grid companies t...

AI Technical Summary

Problems solved by technology

Analytic Hierarchy Process and Subjective Weighting Method are relatively subjective, and are greatly influenced by people’s preferences, knowledge structure, experience, etc., and are often prone to disputes; Delphi analysis also has obvious shortcomings, which are more suitable for situations with many qualitative indicators, and The operation process is more complicated and consumes more time, manpower and material resources

Images