en عمومى General گزارش مورد case report - <span style="font-size:11pt"><span style="text-autospace:none"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">In this paper, new concepts of </span></span></span><m:omath><m:acc><m:accpr><m:chr m:val="̅"><span style="font-size:12.0pt"><span cambria="" math="" style="font-family:"><span style="font-style:italic"><m:ctrlpr></m:ctrlpr></span></span></span></m:chr></m:accpr><m:e><i><span style="font-size:12.0pt"><span style="line-height:115%"><span cambria="" math="" style="font-family:"><m:r>&alpha;</m:r></span></span></span></i></m:e></m:acc></m:omath><span style="font-size:11.0pt"><span style="line-height:115%"><span calibri="" style="font-family:"><span style="position:relative"><span style="top:5.5pt"> </span></span></span></span></span><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">-feasibility and </span></span></span><m:omath><m:acc><m:accpr><m:chr m:val="̅"><span style="font-size:12.0pt"><span cambria="" math="" style="font-family:"><span style="font-style:italic"><m:ctrlpr></m:ctrlpr></span></span></span></m:chr></m:accpr><m:e><i><span style="font-size:12.0pt"><span style="line-height:115%"><span cambria="" math="" style="font-family:"><m:r>&alpha;</m:r></span></span></span></i></m:e></m:acc></m:omath><span style="font-size:11.0pt"><span style="line-height:115%"><span calibri="" style="font-family:"><span style="position:relative"><span style="top:5.5pt"> </span></span></span></span></span><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">-efficiency of solutions for fuzzy mathematical programming problems are used, where </span></span></span><m:omath><m:acc><m:accpr><m:chr m:val="̅"><span style="font-size:12.0pt"><span cambria="" math="" style="font-family:"><span style="font-style:italic"><m:ctrlpr></m:ctrlpr></span></span></span></m:chr></m:accpr><m:e><i><span style="font-size:12.0pt"><span style="line-height:115%"><span cambria="" math="" style="font-family:"><m:r>&alpha;</m:r></span></span></span></i></m:e></m:acc></m:omath><span style="font-size:11.0pt"><span style="line-height:115%"><span calibri="" style="font-family:"><span style="position:relative"><span style="top:5.5pt"> </span></span></span></span></span><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">&nbsp;is a vector of distinct satisfaction degrees. Recently, a special kind of fuzzy mathematical programming entitled Fuzzy Flexible Linear programming (FFLP) is attracted much interest. Using the mentioned concepts, we propose a two-phase approach to solve FFLP. In the first phase, the original FFLP problem converts to a Multi-Objective Linear Programming (MOLP) problem, and then in phase II a weighting technique for the reduced program is introduced. We saw that it was observed that using this concept as a generalization of the parametric approach in linear programming provides a more appropriate tool for modeling real problems and improving the solving process. Thus, by using this two-phase approach, we achieve better utilization of available resources. Further, the solution resulting from these two approaches is always an </span></span></span><m:omath><m:acc><m:accpr><m:chr m:val="̅"><span style="font-size:12.0pt"><span cambria="" math="" style="font-family:"><span style="font-style:italic"><m:ctrlpr></m:ctrlpr></span></span></span></m:chr></m:accpr><m:e><i><span style="font-size:12.0pt"><span style="line-height:115%"><span cambria="" math="" style="font-family:"><m:r>&alpha;</m:r></span></span></span></i></m:e></m:acc></m:omath><span style="font-size:11.0pt"><span style="line-height:115%"><span calibri="" style="font-family:"><span style="position:relative"><span style="top:5.5pt"> </span></span></span></span></span><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">-efficient solution. Finally, an example in the real world is described to express this approach.</span></span></span></span></span></span></span></span> Fuzzy Linear Programming, Triangular Fuzzy Numbers, Multi-Objective Linear Programming, Feasibility and Efficiency. 11 19 http://ijorlu.lahijan.iau.ir/browse.php?a_code=A-10-484-1&slc_lang=en&sid=1 S.H. Nasseri nhadi57@gmail.com 10031947532846001752 10031947532846001752 Yes Department of Mathematics and Big Data, Foshan University, Foshan, China and Department of mathematics, University of Mazandaran, Babolsar, Iran S Mansouri samira.mansory1372@gmail.com 10031947532846001753 10031947532846001753 No Department of mathematics, University of Mazandaran, Babolsar, Iran