Selecting Start-Up Businesses in a Public Venture Capital Financing using Fuzzy PROMETHEE

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43874010" target="_blank" >RIV/70883521:28140/15:43874010 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28120/15:43874010

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.procs.2015.08.105" target="_blank" >http://dx.doi.org/10.1016/j.procs.2015.08.105</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2015.08.105" target="_blank" >10.1016/j.procs.2015.08.105</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Selecting Start-Up Businesses in a Public Venture Capital Financing using Fuzzy PROMETHEE

Popis výsledku v původním jazyce

Public Venture Capital financing often fail rigorous scrutiny in their selection of high-potential start-ups as compared to Private Venture capital. In some developing countries, decision making on final selection for financial support of early stage buthigh potential Small and Medium sized Enterprises (SMEs) are often 'clouded' by several factors including consideration of political party affiliations. This results in low capital recovery rate and a mischance in choosing deserving start-ups. This paper applies Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (Fuzzy PROMETHEE) method to evaluate and select early-stage but high potential start-up businesses in a government high priority area such as in Information and Communications Technology. A numerical example with pre-defined linguistic terms parameterized by triangular fuzzy numbers is provided. The framework could serve as a useful tool for decision makers in scrutinizing selection of start-ups in other gov

Název v anglickém jazyce

Selecting Start-Up Businesses in a Public Venture Capital Financing using Fuzzy PROMETHEE

Popis výsledku anglicky

Public Venture Capital financing often fail rigorous scrutiny in their selection of high-potential start-ups as compared to Private Venture capital. In some developing countries, decision making on final selection for financial support of early stage buthigh potential Small and Medium sized Enterprises (SMEs) are often 'clouded' by several factors including consideration of political party affiliations. This results in low capital recovery rate and a mischance in choosing deserving start-ups. This paper applies Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (Fuzzy PROMETHEE) method to evaluate and select early-stage but high potential start-up businesses in a government high priority area such as in Information and Communications Technology. A numerical example with pre-defined linguistic terms parameterized by triangular fuzzy numbers is provided. The framework could serve as a useful tool for decision makers in scrutinizing selection of start-ups in other gov

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Procedia Computer Science

ISBN

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ISSN

1877-0509

e-ISSN

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Počet stran výsledku

10

Strana od-do

63-72

Název nakladatele

Elsevier BV

Místo vydání

Amsterdam

Místo konání akce

Singapore

Datum konání akce

7. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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