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  Authors

Shivdeep Kaur

  Keywords

FFLP (Fully Fuzzy Linear Programming), LPP (Linear Programming Problem), Triangular Fuzzy Number, LR-Flat Fuzzy Numbers, MOLP (Multi Objective Linear Programming Problem

  Abstract


The modeling and solving the optimization problems that come across our real life and business is one of the most important daily problems. Fully fuzzy linear programming problem is one of the most powerful tools to deal with the imprecise nature (not well-defined) of data. From studies it is noted that mathematical programming problem has a well defined objective function and set of constraints, the systematic determination of optimal solutions leads to the development of large numbers of methods and algorithms. Fully Fuzzy Linear Programming Problems are most suited way to express the real life optimization problems where the constraints are not always crisp or well defined this is why lots of research work is taking place to solve and find optimum solution fully fuzzy linear programming problems. In this paper various techniques that are emerged in a decade to solve fully fuzzy linear programming problems are discussed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205010

  Paper ID - 218925

  Author type - Indian Author

  Page Number(s) - a58-a61

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

  No Of Downloads - 346

  Author Country - India, -, -, -, -, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2205010

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2205010

  Published Paper PDF Downlaod: - download.php?file=IJCRT2205010

  Cite this article

Shivdeep Kaur,   "METHODS FOR SOLVING FULLY FUZZY LINEAR PROGRAMMING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.a58-a61, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205010.pdf

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