Selecting Start-up Businesses in a Public Venture Capital with Intuitionistic Fuzzy TOPSIS

Kód výsledku v IS VaVaI

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RIV/70883521:28120/15:43874012

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Selecting Start-up Businesses in a Public Venture Capital with Intuitionistic Fuzzy TOPSIS

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Selecting Start-up Businesses in a Public Venture Capital with Intuitionistic Fuzzy TOPSIS

Popis výsledku anglicky

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.

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

Proceedings of International Conference on Soft Computing and Applications

ISBN

978-988-19253-6-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

471-476

Název nakladatele

IAENG publishers

Místo vydání

California

Místo konání akce

San Francisco

Datum konání akce

21. 10. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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