Feedback type service data resource value evaluation pricing model

Abstract

The invention discloses a feedback type service data resource value evaluation pricing model, and particularly relates to the technical field of data resource transactions, and the flow of the evaluation pricing model is as follows: S1, a data supplier provides data description, a data sample and a data resource cost value; S2, an expert system is established to perform data evaluation by a data expert, and the data resources are scored according to a scoring formula; and S3, data pricing is performed, wherein the pricing formula is as follows: the data resource property right value=the data resource cost value* he data quality evaluation value+the data utility value. The expert evaluation system is established to truly and effectively evaluate the data quality, qualified data commodities,commodity purposes, commodity examples and commodity descriptions are screened out, it is ensured that data shelving descriptions are consistent with user use, and junk data circulation is effectively prevented; moreover, the price of the data resource is evaluated through a market feedback mode according to the transaction volume of the market, so that the price of the data resources is controlled.

Description

technical field [0001] The invention relates to the technical field of data resource transactions, in particular to a feedback service data resource value evaluation pricing model. Background technique [0002] With the increasing development of big data technology, data itself has become a commodity. Price is the expression of value and the transformed form obtained by the exchange value of commodities in the process of circulation. As data is a special commodity, the value of data needs to be represented by a certain data price to reflect the nature of data as a commodity exchange. However, since the production, exchange, consumption, and reproduction of data have completely different characteristics from general commodities, the price system of general commodities cannot be followed. It is necessary to correctly understand the price formation mechanism of data, "playing the essential role of price in the allocation of market resources, Effectively regulate and promote p...

AI Technical Summary

Problems solved by technology

[0004] In data transactions, there is a basis for pricing data commodities, because only a reasonable price can ensure the continuous and effective development of the service data transaction market, and excessively high or low prices will lead to unsustainable transactions

[0005] However, the basic characteristics of large amounts, variety, and high speed of big data, coupled with the uncertainty, scarcity, and diversity of its value, have led to two-way uncertainty problems that are difficult to solve in traditional pricing models and pricing strategies in service data pricing.

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