Big data intellectual property price evaluation system and method

Abstract

The invention discloses a big data intellectual property price evaluation system and method. The system and method mainly solve the problem that evaluation results are inaccurate due to unscientific selection of intellectual property price evaluation parameter values. The system includes a main server in which an intellectual property price evaluation module is stored, an intellectual property parameter selection module and an intellectual property evaluation parameter database. An intellectual property evaluation client side sends the selected intellectual property price evaluation model anda corresponding parameter request to the intellectual property parameter selection module; the parameter selection module selects or generates parameter values from the intellectual property evaluation parameter database and feeds back the parameter vales to the intellectual property evaluation client side, and the intellectual property price evaluation module calls the corresponding intellectualproperty price evaluation model, inputs a selected parameter value for price calculation and feeds back an intellectual property price evaluation result to the intellectual property price evaluation costumer side. By means of the big data intellectual property price evaluation system and method, the problems that existing intellectual property price evaluation is high in randomness, inaccurate andunapproved are solved, and the accuracy and scientificity of the intellectual property price evaluation are improved.

Description

technical field [0001] The present invention belongs to the technical field of computer management. Specifically, it is an intellectual property price evaluation system and value evaluation method utilizing big data and multi-party participation. technical background [0002] Identifying and determining the value of intellectual property rights is the prerequisite for the commercial use of intellectual property rights, and the effective use of intellectual property rights requires scientific value evaluation. Damodoran carried out research on the value evaluation of intellectual property rights earlier in Wiley Press's 1994 "Value Appraisal", and Smith and Parr (Smith and Parr) published Wiley Press's 1998 "Knowledge The book "Valuation of Property Rights and Intangible Assets" also carried out research on the valuation of intellectual property rights. In the article "Technology Evaluation" in "Best Licensing Practice" published by Wiley Press in 2002, Lazigas proposed that...

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Problems solved by technology

[0009] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a system and method for intellectual property price evaluation based on big data, which solves the problem of unscientific selection of parameter values ​​for intellectual property price evaluation, which leads to excessive fluctuations in evaluation results and is not recognized problems, making the evaluation results more scientific and accurate

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