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2018 | OriginalPaper | Chapter

Fuzzy Decision Making System for Model-Oriented Academia/Industry Cooperation: University Preferences

Authors : Galyna Kondratenko, Yuriy Kondratenko, Ievgen Sidenko

Published in: Complex Systems: Solutions and Challenges in Economics, Management and Engineering

Publisher: Springer International Publishing

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Abstract

This paper discusses the effective models of cooperation of universities and IT companies, as well as the hierarchic approach towards projecting certain decision making support systems (DSS) based on fuzzy logic. Special attention is paid to fuzzy DSS as an advisor in choosing the most appropriate cooperation model for a certain department of universities eager to become partners within the frames of future cooperation with a certain IT company. The article features hierarchic structure, results of rule bases and DSS software based on the approximation of fuzzy systems with discrete output. It also contains the results of imitational DSS modeling based on the elaborated DSS developing the most rational model of cooperation for a university party of the cooperation of the “University—IT company” type.

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previous chapter Six Experimental Activities to Introduce the Theory of Fuzzy Sets
next chapter RETRACTED CHAPTER: Towards the Convergence in Fuzzy Cognitive Maps Based Decision-Making Models
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Metadata
Title
Fuzzy Decision Making System for Model-Oriented Academia/Industry Cooperation: University Preferences
Authors
Galyna Kondratenko
Yuriy Kondratenko
Ievgen Sidenko
Copyright Year
2018
Book
Complex Systems: Solutions and Challenges in Economics, Management and Engineering

Print ISBN: 978-3-319-69988-2

Electronic ISBN: 978-3-319-69989-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69989-9_7

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