One of the characteristics of the network economy is the emergence of digital products. Digital products, the core of the network products, the pricing issue has drawn increasing attention. Precisely because of the network externalities demand-side economies of scale, positive feedback and increasing marginal returns and other features of the network economy, as well as the characteristics of high initial investment costs and low marginal costs of the digital products, digital products cannot be simply priced by traditional economic pricing method. Monopolist does not like the traditional monopolist which limits production and raises prices to earn high profits. Of course, the manufacturers will not simply rely on the demand and supply in accordance with the marginal revenue and marginal cost pricing. Therefore, based on the characteristics of the digital products itself, cost of production, network market environment and the characteristics of the analysis of the consumers’ behaviors, proceeding from the point of view of the network expansion, then the theory of groups pricing based pricing strategy is put forward.

Definition of conversion from a single value data to the Vague value data is given; two conversion formulas from a single value data to the Vague value data are given; a similarity measure formula between Vague sets are given; Vague pattern recognition algorithm is given. The algorithm is applied to irrigation system design, application examples show that theVague pattern recognition algorithms and formulas are all useful.

This paper studies the related problems which belong to research of digital content platform by using numerical simulation. Results from the research show that: the Nash-equilibrium is not the optimal outcome in the R&D competition. The government should pay attention to the continuity of investment. The larger the conversion rate of the user scale, R&D investment allowance rate and the foresight of companies are, the more the technology stock and consumer welfare are.

This paper studies the related problems which belong to research of digital content platform by using numerical simulation. Results from the research show that: under effect of network externality, the digital content platform with high-tech stock could only expand successfully when the network size beyond critical capacity. But, when the technological gap is big enough, the critical capacity could be 0. Besides, we found the Nash equilibrium of R&D input is not necessary exist in the simulation without price, and the existence of equilibrium need special condition.