Selecting Start-up Businesses in a Public Venture Capital with Intuitionistic Fuzzy TOPSIS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43874012" target="_blank" >RIV/70883521:28140/15:43874012 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28120/15:43874012
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Selecting Start-up Businesses in a Public Venture Capital with Intuitionistic Fuzzy TOPSIS
Original language description
Government-run public venture capital (GPVC), especially in developing countries is often beset with challenges compared to private venture capital initiatives. In particular, selection of early stage but high-potential start-ups in GPVCs often fail rigorous scrutiny because decisions are sometimes influenced by peripheral considerations of political and social affiliations. This phenomenon results in low capital recovery rate and a mischance in choosing deserving start-ups. With a numerical example, this paper adopts an intuitionistic fuzzy TOPSIS framework to demonstrate the selection of start-up businesses in a government high priority area such as in Information and Communications Technology. The Intuitionistic Fuzzy Weighted Averaging (IFWA) Operator is used to aggregate individual ratings into composite group decisions. The framework could serve as a useful tool for decision makers to scrutinize selection of start-ups in other government priority areas.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of International Conference on Soft Computing and Applications
ISBN
978-988-19253-6-7
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
471-476
Publisher name
IAENG publishers
Place of publication
California
Event location
San Francisco
Event date
Oct 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—