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Multi-criteria intuitionistic fuzzy group decision analysis with TOPSIS method for selecting appropriate cloud solution to manage big data projects
Department of Operational Research, University of Delhi, Faculty of Mathematical Sciences, Delhi, India.
Department of Operational Research, University of Delhi, Faculty of Mathematical Sciences, Delhi, India.
Amity University, Noida, India.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-4107-0991
2016 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 7, no 3, 316-324 p.Article in journal (Refereed) Published
Abstract [en]

Today technology that learns from data to forecast future behavior of individuals, organizations, government and country as a whole, is playing a crucial role in the advancement of human race. In fact, the strategic advantage most of the companies today strive for are use of new available technologies like cloud computing and big data. However, today's dynamic business environment poses severe challenges in front of companies as to how to make use of the power of big data with the technical flexibility that cloud computing provides? Therefore, evaluating, ranking and selecting the most appropriate cloud solution to manage big data project is a complex concern which required multi criteria decision environment. In this paper we propose a hybrid TOPSIS method combined with intuitionistic fuzzy set to select appropriate cloud solution to manage big data projects in group decision making environment. In order to collate individual opinions of decision makers for rating the importance of various criteria and alternatives, we employed intuitionistic fuzzy weighted averaging operator. Lastly sensitivity analysis is performed so as to evaluate the impact of criteria weights on final ranking of alternatives.

Place, publisher, year, edition, pages
Springer, 2016. Vol. 7, no 3, 316-324 p.
Keyword [en]
Intuitionistic fuzzy set (IFS), TOPSIS, Multi criteria decision making (MCDM), Big data, Cloud computing
National Category
Reliability and Maintenance Computer and Information Science
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-13178DOI: 10.1007/s13198-016-0455-xISI: 000387345100007Scopus ID: 2-s2.0-84983035394OAI: oai:DiVA.org:his-13178DiVA: diva2:1051387
Available from: 2016-12-01 Created: 2016-12-01 Last updated: 2017-05-29Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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Language
  • de-DE
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Output format
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