{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T01:30:50Z","timestamp":1717378250668},"reference-count":28,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[2004,12]]},"abstract":"<jats:p> The OWA (Ordered Weighted Average) operator is a powerful non-linear operator for aggregating a set of inputs a<jats:sub>i<\/jats:sub>,i\u2208{1,2,\u2026,M}. In the original OWA operator the inputs are crisp variables a<jats:sub>i<\/jats:sub>. This restriction was subsequently removed by Mitchell and Schaefer who by application of the extension principle defined a fuzzy OWA operator which aggregates a set of ordinary fuzzy sets A<jats:sub>i<\/jats:sub>. We continue this process and define an intuitionistic OWA operator which aggregates a set of intuitionistic fuzzy sets \u00c3<jats:sub>i<\/jats:sub>. We describe a simple application of the new intuitionistic OWA operator in multiple-expert multiple-criteria decision-making. <\/jats:p>","DOI":"10.1142\/s0218488504003247","type":"journal-article","created":{"date-parts":[[2005,3,16]],"date-time":"2005-03-16T12:00:57Z","timestamp":1110974457000},"page":"843-860","source":"Crossref","is-referenced-by-count":24,"title":["AN INTUITIONISTIC OWA OPERATOR"],"prefix":"10.1142","volume":"12","author":[{"given":"H. 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