Assessment of the Innovative Capacity of Intellectual Property

Abstract

This article is dedicated to development of methods for assessment of the intellectual property’s innovative capacity based on the mathematical tools of fuzzy sets. It shows that the structure of the intellectual property’s innovative capacity is determined by sets of factors affecting its formation and the criteria related to these factors. The structure of innovative capacity is represented by the following components: competitiveness, available resources, economic efficiency, feasibility and external investment risks. The indicator tree illustrates the structure of the intellectual property’s innovative capacity. The multi-component method of assessment of the intellectual property’s innovative capacity implies application of basic methods for finding the components of the innovative capacity and objective function of components’ consolidation. The author suggests to combine the components of the intellectual property’s innovative capacity through fuzzification with subsequent reverse procedure of defuzzification. Fuzzification implies transformation of components of the core of the intellectual property’s innovative capacity into linguistic variables using production rules of fuzzy logics, and external investment risks are fuzzificated by means of minimax functions. Defuzzification of components of the core of innovative capacity and external investment risks is defined by the functions with input parameters in the form of linguistic variables and fuzzy trapezoidal numbers. Use of these methods focuses on improvement in the approach to assessment of the potential economic efficiency of intellectual property in innovations. The article considers the opportunities for extension of the structure and modification of approaches to assessment of the intellectual property’s innovative capacity. The author suggests to apply expert systems in management of the innovative capacity in various economic activities. DOI: 10.5901/mjss.2015.v6n4s4p325