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The purpose of this paper is to describe an interactive technique to decide multi\u2010criteria weights by multiple decision makers in the condition of incomplete information by means of virtual environment.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The procedure assumed a problem with n criteria and r decision makers. The algorithms employed are presented.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>It was found that the proposed framework is an effective weight\u2010deciding tool; the procedure quickly locates excellent compromise weights in a series of test problems.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The methodology helps decision makers determine a most preferred final solution by the virtual environment especially when there is incomplete information. The procedures provide a mechanism to guide the decision makers towards an acceptable compromise solution, without requiring excessive decision maker input. Studies show that the procedure performs well in terms of solution quality, simplicity, computational requirements, convergence and flexibility.<\/jats:p><\/jats:sec>","DOI":"10.1108\/03684920910944065","type":"journal-article","created":{"date-parts":[[2009,5,30]],"date-time":"2009-05-30T07:05:44Z","timestamp":1243667144000},"page":"369-380","source":"Crossref","is-referenced-by-count":1,"title":["An interactive algorithm for deciding multi\u2010criteria weights in incomplete information environment"],"prefix":"10.1108","volume":"38","author":[{"given":"Liu","family":"Guo\u2010shan","sequence":"first","affiliation":[]},{"given":"He","family":"Yu\u2010hong","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022020119490259700_b10","doi-asserted-by":"crossref","unstructured":"Ali, I., Cook, W. and Kress, M. 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