<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>International Journal of Applied Operational Research</title>
<title_fa>ژورنال بین المللی پژوهش عملیاتی</title_fa>
<short_title>International Journal of Applied Operational Research - An Open Access Journal</short_title>
<subject>Basic Sciences</subject>
<web_url>http://ijorlu.lahijan.iau.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2251-6867</journal_id_issn>
<journal_id_issn_online>2251-9432</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>7</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>8888</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1397</year>
	<month>10</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2019</year>
	<month>1</month>
	<day>1</day>
</pubdate>
<volume>9</volume>
<number>1</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>A new solving approach for fuzzy flexible programming problem in uncertainty conditions </title>
	<subject_fa>تخصصي</subject_fa>
	<subject>Special</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>Modeling and solving real world problems is one of the most important issues in optimization problems&lt;span dir=&quot;RTL&quot;&gt;.&lt;/span&gt; In this paper, we present an approach to solve Fuzzy Interval Flexible Linear Programming (FIFLP) problems that simultaneously have the interval ambiguity in the matrix of coefficients&lt;span dir=&quot;RTL&quot;&gt; .&lt;/span&gt;In the first step, using the interval problem solving techniques; we transform the fuzzy interval flexible problem into two optimistic and pessimistic sub-problems. Then, in the second step, using a multi-parametric approach, we solve two fuzzy flexible sub- problems and finally the results are investigated with numerical example&lt;span dir=&quot;RTL&quot;&gt;.&lt;/span&gt;&lt;br&gt;
&amp;nbsp;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Interval Linear Programming, Fuzzy Interval Flexible Linear Programming,  –efficiency,  –feasibility, Multi-parametric Approach</keyword>
	<start_page>19</start_page>
	<end_page>29</end_page>
	<web_url>http://ijorlu.lahijan.iau.ir/browse.php?a_code=A-10-467-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>F.</first_name>
	<middle_name></middle_name>
	<last_name>Mahmoudi</last_name>
	<suffix></suffix>
	<first_name_fa>فرانک</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>محمودی</last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>10031947532846001047</code>
	<orcid>10031947532846001047</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of mathematics, University of  Mazandaran, Babolsar, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
