Open AccessDETERMINATION OF IMPORTANT PARAMETERS FOR PATENT APPLICATIONS
Author(s) -
Dušan Marković,
Dalibor Petković,
Vlastimir Nikolić,
Miloš Milovančević,
Nebojša Denić
Publication year - 2017
Publication title -
facta universitatis. series: mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.483
H-Index - 16
eISSN - 2335-0164
pISSN - 0354-2025
DOI - 10.22190/fume170511014m
Subject(s) - trademark , intellectual property , patent analysis , adaptive neuro fuzzy inference system , payment , investment (military) , inference system , inference , computer science , business , patent application , research development , actuarial science , economics , fuzzy logic , data science , artificial intelligence , finance , engineering , fuzzy control system , political science , biology , electrical engineering , law , ecology , test (biology) , politics , operating system
This research study is an analysis of patent applications based on different input parameters. Nine patent indicators for describing patent applications are retrieved from the World Bank database. The method of ANFIS (adaptive neuro fuzzy inference system) is applied to selecting the most important parameters for patent applications. The inputs are: charges for the use of intellectual property for payments and receipts, research and development expenditure, trademark applications for residents and nonresidents, researchers in research and development (R&D), technicians in R&D and high-technology exports. As the ANFIS outputs, patent applications for nonresidents and residents are considered. The results show that the combination of research and development expenditure and technicians in R&D is the most influential combination of input parameters for patent applications.