Abstract: In this paper, dynamic combinational evaluation method is proposed, in order to get rid of the inconsistency among evaluation results from different dynamic evaluation methods. The concept of compatible dynamic methods is defined in this paper, as well as the concept of comparable dynamic methods. A set of compatible dynamic methods are collected by using the fuzzy clustering method. A set of dynamic combinational evaluations are obtained based on the compatible dynamic methods. Then an integrated model for the evaluation methods is established to find the best dynamic combinational evaluation. The compatibility of the evaluation result is validated. In practice, a dynamic combinational evaluation is conducted on the independent innovation capabilities of the provinces in east China. The source data of the evaluation indicators for the regional technological innovation capacities come from Chinese statistics yearbook, Chinese science and technology statistics yearbook, and the web site of People's Republic of China Ministry of Science and Technology which provides a database with the major indicators for the science and technology in China. An instance, shows the findings of this work are practically effective. The method proposed in this study provides an idea to deal with the inconsistency among evaluation results, complements the comprehensive evaluation method and facilitates the researches in related fields.

Key words: dynamic evaluation, combinational evaluation, dynamic comparable methods set, dynamic compatible methods set, general minimum deviation