Přístupnostní navigace
E-application
Search Search Close
Publication result detail
MELUZÍN, T.; DOHNAL, M.; KŘÍŽ, J.; ZINECKER, M.; SMOLÍKOVÁ, L.
Original Title
Equationless Model of Knowedge Management and Scientific Parks
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
A SP (Scientific Park) is an integration of hardware (e.g. buildings, laboratories) and knowledge (e.g. knowledge basis of expert systems). SPs are therefore extremely heterogonous systems difficult to manage. Several attempts have been made to model SPs using different formal tools e.g. fuzzy logic. However, SPs are multidimensional, interdisciplinary, difficult to observe and consequently difficult to model. Modern computers are extremely powerful tools in terms of number manipulation. However, their contribution to solving complex problems using common sense has been practically very small.The presented paper therefore uses qualitative models based on three values: positive / increasing, zero / constant and negative / decreasing. An example of a qualitative SP model is presented. It has 10 variables, e.g. Knowledge transfer, Competitiveness, Operation cost. There are 11 equationless relations. The model generates 45 scenarios as its solution. The paper is self-contained, no a prior knowledge of qualitative modelling is presupposed.
English abstract
Keywords
equationless; scenario; transition; scientific park; knowledge management; qualitative model
Key words in English
Authors
RIV year
2017
Released
05.11.2015
Location
Bangkok, THAILAND
ISBN
978-1-910810-74-3
Book
Proceedings Paper of 12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning (ICICKM)
Pages from
81
Pages to
89
Pages count
9
BibTex
@inproceedings{BUT127119, author="Tomáš {Meluzín} and Mirko {Dohnal} and Jiří {Kříž} and Marek {Zinecker} and Lenka {Širáňová}", title="Equationless Model of Knowedge Management and Scientific Parks", booktitle="Proceedings Paper of 12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning (ICICKM)", year="2015", pages="81--89", address="Bangkok, THAILAND", isbn="978-1-910810-74-3" }