Fuzzy cognitive maps based on text analysis for supporting strategic planning

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy cognitive maps based on text analysis for supporting strategic planning

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Fuzzy cognitive maps based on text analysis for supporting strategic planning

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-11795S" target="_blank" >GA17-11795S: Modelování dynamiky determinantů národní a regionální produktivity založené na znalostních a kooperačních efektech</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference on Research and Innovation in Information Systems, ICRIIS : proceedings

ISBN

978-1-5090-3035-4

ISSN

2324-8149

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Langkawi

Datum konání akce

16. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000425930700042