{"id":25486,"date":"2016-09-15T14:52:20","date_gmt":"2016-09-15T14:52:20","guid":{"rendered":"http:\/\/www.takbook.com\/best\/weighted-triangular-approximation-of-fuzzy-by-artificial-bee-colony-algorithm\/"},"modified":"2016-09-15T14:52:21","modified_gmt":"2016-09-15T14:52:21","slug":"weighted-triangular-approximation-of-fuzzy-by-artificial-bee-colony-algorithm","status":"publish","type":"post","link":"https:\/\/www.takbook.com\/best\/weighted-triangular-approximation-of-fuzzy-by-artificial-bee-colony-algorithm\/","title":{"rendered":"Weighted triangular approximation of fuzzy by artificial bee colony algorithm"},"content":{"rendered":"<div style=\"text-align:center;direction:rtl\">\n<div style=\"border:1px solid #000000!important;padding:12px!important;overflow:auto!important;background:#ffffff!important;margin-bottom:10px;min-width:300px!important;max-width:500px!important;\"><a href=\"http:\/\/par3.4kia.ir\/info\/37744\/i\/?getppsid=18004\" target=\"_blank\" rel=\"nofollow\"><img src=\"http:\/\/www.takbook.com\/best\/wp-content\/uploads\/2016\/09\/14747_1468138372-2.jpg\" alt=\"Weighted triangular approximation of fuzzy by artificial bee colony algorithm\" style=\"float:right !important;margin:0 !important;margin-left:10px !important;padding-top:10px !important;width:130px;height:125px;\" \/><\/a><\/p>\n<h3 style=\"font:bold 14px\/1.7 Tahoma!important;margin-top:0px!important;\"><a href=\"http:\/\/par3.4kia.ir\/info\/37744\/i\/?getppsid=18004\" target=\"_blank\" style=\"text-decoration:none!important;color:#195ada!important;\" rel=\"nofollow\">Weighted triangular approximation of fuzzy by artificial bee colony algorithm<\/a><\/h3>\n<p style=\"font:200 13px\/1.5 Tahoma!important;text-align:justify!important;direction:rtl!important;color:#000000\">In this paper , we obtain the nearest triangular approximation to a fuzzy quantity with weighted function by minimization distance between two fuzzy numbers gnisu yb artificial bee colony algorithm( ABC). I important advantage of the ABC method is that this method is capable of greatly reducing the size of computational work while still maintaining high accuracy of the numerical solution and increase Convergence rate &#8230;.<\/p>\n<div style=\"text-align:center\"><a href=\"http:\/\/par3.4kia.ir\/info\/37744\/i\/?getppsid=18004\" target=\"_blank\" style=\"background-color:#195ada!important;color:#ffffff!important;text-decoration:none!important;font-size:20px!important;font-weight:bold!important;padding:6px 10px;font-family:arial;\" rel=\"nofollow\">\u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \/ \u062f\u0627\u0646\u0644\u0648\u062f<\/a><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Weighted triangular approximation of fuzzy by artificial bee colony algorithm In this paper , we obtain the nearest triangular approximation to a fuzzy quantity with weighted function by minimization distance [&#8230;]<\/p>\n","protected":false},"author":1,"featured_media":25487,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"amp_status":""},"categories":[131],"tags":[3873],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v14.9 - 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