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

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dc.title Selecting Start-up Businesses in a Public Venture Capital with Intuitionistic Fuzzy TOPSIS en
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Nabareseh, Stephen
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof World Congress on Engineering and Computer Science (WCECS 2015), Vol 1
dc.identifier.issn 2078-0958 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-988-19253-6-7
dc.date.issued 2015
dc.citation.spage 471
dc.citation.epage 476
dc.event.title World Congress on Engineering and Computer Science
dc.event.location San Francisco, CA
utb.event.state-en United States
utb.event.state-cs Spojené státy americké
dc.event.sdate 2015-10-21
dc.event.edate 2015-10-23
dc.type conferenceObject
dc.language.iso en
dc.publisher International Association of Engineers (IAENG)
dc.relation.uri http://www.iaeng.org/publication/WCECS2015/
dc.subject Public Venture Capital en
dc.subject Start-Up companies en
dc.subject Intuitionistic fuzzy sets en
dc.subject Fuzzy MCDM en
dc.subject IFWA aggregator en
dc.description.abstract 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. en
utb.faculty Faculty of Applied Informatics
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1006687
utb.identifier.obdid 43874514
utb.identifier.scopus 2-s2.0-84992562539
utb.identifier.wok 000380591600090
utb.source d-wok
dc.date.accessioned 2016-10-25T12:38:05Z
dc.date.available 2016-10-25T12:38:05Z
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Nabareseh, Stephen
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Eric Afful-Dadzie, Zuzana Komínková Oplatková, Stephen Nabareseh and Roman Šenkeřík Eric Afful-Dadzie is with the Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G Masaryka 5555, 760 01, Zlin - Czech Republic (phone: +420777546790; fax: +42057-603-5279; e-mail: afful@fai.utb.cz). Zuzana Komínková Oplatková is with the Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G Masaryka 5555, 760 01, Zlin - Czech Republic (e-mail: kominkovaoplatkova@fai.utb.cz). Stephen Nabareseh is with the Faculty of Management and Economics, Tomas Bata University, T.G Masaryka 5555, 760 01, Zlin - Czech Republic (e-mail: nabareseh@fame.utb.cz). Roman Šenkeřík is with the Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G Masaryka 5555, 760 01, Zlin - Czech Republic (e-mail senkerik@fai.utb.cz).
utb.fulltext.references Manuscript received June 11, 2015; revised July 01, 2015
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic-GACR P103/15/06700S, further by financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089. Further, this work was supported by Internal Grant Agency of Tomas Bata University under the project Nos. IGA/FAI/2015/054, IGA/FaME/2014/007 and IGA/FaME/2015/023.
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