{"version":"1.0","provider_name":"Learning and NonLinear Models","provider_url":"https:\/\/sbia.org.br\/lnlm","author_name":"sbicbr","author_url":"https:\/\/sbia.org.br\/lnlm\/author\/sbicbr\/","title":"Uma Introdu\u00e7\u00e3o a Metodologias Fuzzy para Otimiza\u00e7\u00e3o Multiobjetivo em Ambiente Incerto - Learning and NonLinear Models","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"ynJLfhMwol\"><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no2\/vol19-no2-art4\/\">Uma Introdu\u00e7\u00e3o a Metodologias Fuzzy para Otimiza\u00e7\u00e3o Multiobjetivo em Ambiente Incerto<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no2\/vol19-no2-art4\/embed\/#?secret=ynJLfhMwol\" width=\"600\" height=\"338\" title=\"&#8220;Uma Introdu\u00e7\u00e3o a Metodologias Fuzzy para Otimiza\u00e7\u00e3o Multiobjetivo em Ambiente Incerto&#8221; &#8212; Learning and NonLinear Models\" data-secret=\"ynJLfhMwol\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/sbia.org.br\/lnlm\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"Ricardo Coelho Abstract: This paper provides an introduction about multiobjective optimization concepts in uncertain environment with the aid of the Fuzzy Mathematical Programming paradigm. The goal is to present methodologies based on Fuzzy Mathematical Programming to solve Multiobjective Programming problems, Read More ...","thumbnail_url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg"}