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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/5316
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dc.contributor.authorRoham, Mehrdaden_US
dc.contributor.authorGabrielyan, Anait R.en_US
dc.contributor.authorArcher, Norman P.en_US
dc.contributor.authorMcMaster eBusiness Research Centre (MeRC)en_US
dc.date.accessioned2014-06-17T20:43:26Z-
dc.date.available2014-06-17T20:43:26Z-
dc.date.created2013-12-23en_US
dc.date.issued2008-08en_US
dc.identifier.othermerc/13en_US
dc.identifier.other1012en_US
dc.identifier.other4943348en_US
dc.identifier.urihttp://hdl.handle.net/11375/5316-
dc.description<p>56 p. ; Includes bibliographical references. ; "August 2008."</p> <p>This work was supported by a grant from the Natural Sciences and Engineering Council of Canada.</p>en_US
dc.description.abstract<p>Ease of doing business (EDB) indicators are essential to the overall understanding and evaluation of national business environments, and to strategy formulations of business policy and regulations. The World Bank does an annual study of these indicators for over 170 nations, but there are many complications and uncertainties involved in their work. This paper proposes a new systematic approach that employs fuzzy set theory to generate composite EDB indicators for ranking and classification problems. In this paper, we implement the proposed approach and illustrate its process and procedures. A ... case study example for Canada is also presented in which EDB indicators are evaluated, linguistically identified, and ranked. This approach demonstrates the ease of using this fuzzy application, and its potential benefits for future research. We also compare ranking results, obtained from our proposed approach, with the World Bank's results.</p>en_US
dc.relation.ispartofseriesMeRC working paperen_US
dc.relation.ispartofseriesno. 25en_US
dc.subjectFuzzy setsen_US
dc.subjectEase of doing businessen_US
dc.subjectLinguistic aggregationen_US
dc.subjectFuzzy rankingen_US
dc.subject.lccFuzzy systems > Simulation methodsen_US
dc.subject.lccComputer simulation-
dc.subject.lccEconomic indicators > Econometric models-
dc.titleFuzzy systems modeling of ease of doing business indicatorsen_US
dc.typearticleen_US
Appears in Collections:MeRC (McMaster eBusiness Research Centre) Working Paper Series

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