Fuzzy cognitive maps based on text analysis for supporting strategic planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39911543" target="_blank" >RIV/00216275:25410/17:39911543 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8002479/" target="_blank" >http://ieeexplore.ieee.org/document/8002479/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICRIIS.2017.8002479" target="_blank" >10.1109/ICRIIS.2017.8002479</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy cognitive maps based on text analysis for supporting strategic planning
Original language description
Strategy maps are attracting considerable interest in strategic planning due to their capacity to represent causal-effect relationships among the key concepts. Several studies have used expert estimates to quantify the relationships. However, these evolve dynamically and are context-specific. Therefore, there is a need to develop automatic knowledge acquisition systems. Here, the assumption was used that knowledge can be extracted from strategic documents in order to conduct a detailed analysis of causal strategic concepts. First, latent semantic analysis is employed to obtain an interpretable semantic model. Second, collocated causal concepts are used to model relationships among strategic concepts. This approach to generate fuzzy cognitive maps (FCMs) is semi-automatic, requiring theoretical background literature/domain experts to determine the direction of the causalities. The FCMs can subsequently be used to simulate the effects of strategic management and, thus, provide an effective decision support tool. Several innovation strategies of regions are used as a case study and it is demonstrated that the generated FCMs are consistent with expert opinions and fuzzy ANP method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-11795S" target="_blank" >GA17-11795S: Modeling the Dynamics and Determinants of National and Regional Productivity Based on Knowledge and Cooperative Effects</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Research and Innovation in Information Systems, ICRIIS : proceedings
ISBN
978-1-5090-3035-4
ISSN
2324-8149
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Langkawi
Event date
Jul 16, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425930700042