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An application to a set of firms to verify the results is also presented.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The paper follows the basis of OWA operators to design a methodology to reduce the map of causes of business failure into monitoring key areas.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The present paper introduces two alternative measures to test the proposal of grouping. In the empirical application, the superiority of the minimum T-norm over other decision rules is verified. The ordered weighted averaging distance (OWAD) goodness index predicts a better adjustment over the index built using OWA and Hamming distance measures.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>A useful mechanism to reduce the map of causes or diseases detected in key areas is added through this analysis. At the same time, these key areas can be disaggregated once some alert indicator is identified; this allows knowing the causes that require special attention. This application of OWA can encourage the development of suitable computer systems for monitoring the firm\u2019s problems, alerting regarding failures and easing decision-making.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>A comparison of grouping causes into key areas through a goodness index based on Hamming distance and OWAD is proposed. These contributions enrich the Vigier and Terce\u00f1o (2008) model and could be applied to any model of fuzzy diagnosis to test the results.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-05-2016-0107","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T05:06:18Z","timestamp":1486443978000},"page":"114-130","source":"Crossref","is-referenced-by-count":11,"title":["The OWA distance operator and its application in business 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