目标创新评价模型的实验检验
Experimental check of model of object innovation evaluation
摘要：
本文探讨了产品和技术创新指数的评价方法。评价结果可用于创建具有显著创新潜力的对象描述仓库。创新指数的计算模型是基于对象的新颖性、相关性和可实施性的概念。对这些指标给出了正式定义，并说明了计算方法。使用模糊方法协处理（不完整）的数据从众多的来源，并获得概率创新评估。给出了模型检验的实验数据，包括局部准则和整体加性评价准则的计算。建立了指标动态变化的周期性、相互依赖性，发现了产品促销的一些一般特征，得到的实验数据与专家对研究产品的估计一致。在研究中使用的本地标准的分析给出了理由，断言正确使用的附加n维效用函数。证明了数据仓库信息选择计算算法中所使用的假设和形式表达式的充分性。
英文摘要：
The article discusses the approach for evaluating the innovation index of the products and technologies. The evaluation results can be used to create a warehouse of the object descriptions with significant innovation potential. The model of innovation index computation is based on the concepts of novelty, relevance, and implementability of the object. Formal definitions of these indicators are given and a methodology for their calculation are described. The fuzzy methods to coprocess (incomplete) data from numerous sources and to obtain probabilistic innovation assessments are used. The experimental data of the model check including the calculations of local criteria and global additive evaluation criterion are presented. The cyclical nature of dynamic changes in indicators, their interdependence was established, some general features of the products promotion were found. The obtained experimental data are consistent with expert estimates of the products under study. The analysis of the local criteria used in the research gives grounds to assert the correct use of the additive n-dimensional utility function. The adequacy of assumptions and formal expressions that are used in computational algorithms for selection information for data warehouse is confirmed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
