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It also aims to benchmark the performance of neuro\u2010intelligence models against traditional statistical techniques.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>This paper uses neuro\u2010intelligence models to classify the relative efficiency of top USA retailers. Accuracy indices derived from the application of a non\u2010parametric data envelopment analysis approach are used to assess the classification accuracy of the models.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Results indicate that the neuro\u2010intelligence models are superior to traditional statistical methods. The paper also shows that the neuro\u2010intelligence models have a great potential for the classification of retailers' relative efficiency due to their robustness and flexibility of modeling algorithms.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The paper contributes practically and methodologically through the comparison of various parametric and non\u2010parametric techniques, which results in considerable information for business analysis.<\/jats:p><\/jats:sec>","DOI":"10.1108\/17563781011028587","type":"journal-article","created":{"date-parts":[[2010,3,27]],"date-time":"2010-03-27T08:09:08Z","timestamp":1269677348000},"page":"135-162","source":"Crossref","is-referenced-by-count":4,"title":["A neuro\u2010computational intelligence analysis of the US retailers' efficiency"],"prefix":"10.1108","volume":"3","author":[{"given":"Mohamed M.","family":"Mostafa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022021820220537200_b84","unstructured":"Alyuda Research Company (2003), NeuroIntelligence User Manual (Version 2.1)."},{"key":"key2022021820220537200_b101","doi-asserted-by":"crossref","unstructured":"Anandarajan, M., Lee, P. and Anandarajan, A. 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