Abstract
The article is devoted to research and development of fuzzy cognitive model of mutual influence and connectivity of innovative technologies on the basis of synthesis of interdisciplinary research strategies - foresight methods based on logically transparent mechanisms of interpretation of the solution, expert weighting methods and neutrosophic cognitive maps. Neutrosophic cognitive map of mutual influence and connectivity of innovative technologies is constructed on the basis of data on the nature and intensity of these interactions, allowing to calculate the degree of influence of one or several concepts (technologies), taking into account their state, on the target indicator, and also calculate the fixed state of the concept system. The results of experimental verification and the multiplicative effect of the developed model on the data of expert surveys are described, under conditions of transition to the 6th technological order.
Highlights
The problem of efficiency of scientific and technological developments during the change of technological orders (TO) was first staged in economic science in the early XX century
To experts, the macro model of world dynamics, described by the authors 1970-x years, was too mechanistic: it was not taken into account the regional structure of the object, social, political factors, there were differences with the theories of economic growth were not taken into account the adaptive capacity of the world system with social, scientific and technological progress [3]
We believe that the main perspective and the novelty of the development of mathematical methods of feasibility analysis lies in the use and development of expert in combination with intelligent methods of analysis and forecasting
Summary
The problem of efficiency of scientific and technological developments during the change of technological orders (TO) was first staged in economic science in the early XX century. In [4,5] for the first time describes the neuro-fuzzy predictive model of the trajectory of world economic and technological development (TED), allowing to measure the level and pace of TED countries relative to the reference trajectory. In continuation of these works, the aim of this study is: 1) development of an extended conceptual model of foresight methods; 2) development of a fuzzy cognitive model of mutual influence and connectivity of innovative technologies based on foresight methods; 3) experimental verification of the developed model on the example of innovative technologies. Design of fuzzy cognitive model of mutual influence and connectivity of innovative technologies
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
