Neuro-technologies and fuzzy logic for intellectual capital evaluation in education and business

Abstract

Abstract Intellectual capital as an economic concept migrated from the stock exchange financial analysis to the economics and corporate governance, and to the studies on the public regulation of innovative growth. Evaluation of intellectual capital forms the basis for making managerial decisions at the both levels of private business and of regulation of social and economic activities in a region or national State. Management at the micro and macro levels needs tools that take into account a wide variety of factors, the diversity of customers’ and partners criteria. Fuzzy sets and computing allow analysts to approach the tasks of evaluating intellectual assets and human capital both from the point of view of expert analysis, including expert machine learning, and of studying the mindsets and cognitive maps and behavioural models of participants in business processes about an actor, territory or company, and its ability to produce, transform and use an intelligent product. Neural networks and fuzzy computing are the useful intelligence tools to assess intellectual capital, customer opinion about the product, business reputation and brand. The example of the cognitive modelling presents the results of the evaluations of general business perspectives for the international cooperation given by the master students of double diploma programs, taking into account the common sense and the specific learning achievements within the course.