Research And Application Of Technology Pricing Method

The price of technology is an important point during the course of technology transfer and a key term in the contract of technology transfer. The main methods presently of technology pricing are cost method, revenue method, market method, with the last one most practical.In this paper, we first systematically study the theories of technology pricing analysis factors influencing it, as technology , contract and circumstance, and explain the determination of index system of technology quantification. To solve the main problems of quantifies the price of technology and the origin of these indicates ,we use system clustering method to analysis factors connected with technology pricing ,and found the index system suits for practice ,and value all the indexes in proportion to their contribution to the price. Being based upon this, after collecting all the technologies that are similar with the one being evaluated as samples, the paper first has a good analysis by using cluster method, and then takes the one which has the same or similar performance into the same group and lets the one which is different into the different groups. Combined with the function evaluation, the paper compares the under-evaluated technology with each of the groups clustered, and selects the one that is the most similar with the under-evaluated technology, and then establishes its proper price demarcation line according to the price characteristics of the technology commodities in that group. With the research of price theory and evaluation model of technology commodity, the paper would like to provide some beneficial references to the trading in technical achievements and operation of technology market to promote the development of commercialization and asset-convertibility of technology achievement.Then,with the concept of fuzzy clustering, based on some technologies that are similar with the one being evaluated, builds up a sample aggregation. The paper improves fuzzy clustering method by giving respectively the corresponding mark of the index factor. Confirm the mark by expert and then adjust it by the method of information entropy, qualify the distance of some pivotal factor. Using the method of distance and then taking the one which has the same or similar performance into the same group. Combined with the function evaluation, the paper compares the under-evaluated technology with the technologies in the group clustered, and then calculates its price according to the known price of the technologies in that group. At last, we compare the two methods to prove the practicability of this method.