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BOČKOVÁ, N. MELUZÍN, T.
Original Title
DECIDING ON THE TYPE OF R & D SUPPORT: USING FUZZY EXPERT SYSTEM
Type
conference paper
Language
English
Original Abstract
Globalization of the economic environment has brought a pressure to increase the intensity of innovation in manufacturing industry. Enterprises can invest in new technologies, innovation processes, implement new methods for organizing common processes and implement marketing innovation. Innovative methods are based primarily on research and development (R & D). R & D funding plays a key role especially for small and medium enterprises (SMEs). Management is responsible for the distribution of the budget and must make a crucial decision, from which funds the projects should be financed. This contribution proposes a support solution which integrates fuzzy logic in management decisions in the financing of R & D project in other way than by own resources. Knowledge base is composed by values specified in project provided to support R & D activities in small and medium enterprises in the Czech Republic. The methodology is based on samples and verified on real enterprises data. The final part outlines the possibility of dialogue between management and expert system; the knowledge base uses 18 variables and 103 conditional statements.
Keywords
Research, Development, R&D Support, Fuzzy number, small and medium enterprises.
Authors
BOČKOVÁ, N.; MELUZÍN, T.
Released
5. 5. 2016
Location
Milán
ISBN
978-0-9860419-6-9
Book
Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth
Pages from
2296
Pages to
2309
Pages count
12
BibTex
@inproceedings{BUT119651, author="Nina {Bočková} and Tomáš {Meluzín}", title="DECIDING ON THE TYPE OF R & D SUPPORT: USING FUZZY EXPERT SYSTEM", booktitle="Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth", year="2016", pages="2296--2309", address="Milán", isbn="978-0-9860419-6-9" }