System and method for valuating patent using multiple regression model and system and method for building patent valuation model using multiple regression model

A system for building a patent valuation model using a multiple regression model, the system comprising:

• at least one processor;
• and
• at least one memory,
• wherein the at least one memory and the at least one processor store and execute instructions for causing the system to perform operations including:
• extracting valuation elements by processing acquired patent information;
• separately performing a plurality of multiple regression analyses in which a plurality of key valuation elements preset for a valuation index are dependent variables;
• calculating a representative value of a plurality of regression coefficients for each independent variable of a plurality of multiple regression models calculated through the plurality of multiple regression analyses;
• generating a valuation model for the valuation index by building a valuation model in which the calculated representative values are coefficients for the respective independent variables;
• and
• calculating a quantified valuation index of a patent which is a valuation target using the generated valuation model.

A method of building a patent valuation model using a multiple regression model, the method being implemented in a computer and comprising:

• acquiring patent information;
• processing the patent information and separately performing a plurality of multiple regression analyses in which a plurality of key valuation elements preset for a valuation index are dependent variables;
• calculating a representative value of a plurality of regression coefficients for each independent variable of a plurality of multiple regression models calculated through the plurality of multiple regression analyses;
• and
• generating a valuation model for the valuation index by building a valuation model in which the calculated representative values are coefficients for the respective independent variables.