Title | ||
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Fuzzy optimal solution of fully fuzzy linear programming problems using ranking function |
Abstract | ||
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In this paper, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear programming FFLP problems with mixed constraints. By using the proposed method the fuzzy optimal solution of FFLP problems with mixed constraints occurring in real life situations can be easily obtained. To illustrate the proposed method a numerical example is solved. The proposed method can be easily applied to find the fuzzy optimal solution of FFLP problems occurring in real life situations. |
Year | DOI | Venue |
---|---|---|
2014 | 10.3233/IFS-120742 | Journal of Intelligent and Fuzzy Systems |
Keywords | Field | DocType |
ranking function,FFLP problem,fuzzy linear programming FFLP,real life situation,new method,fuzzy linear programming problem,numerical example,fuzzy optimal solution,mixed constraint,proposed method | Mathematical optimization,Fuzzy linear programming,Ranking,Fuzzy logic,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 1 | 1064-1246 |
Citations | PageRank | References |
7 | 0.48 | 11 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amit Kumar | 1 | 310 | 40.43 |
Jagdeep Kaur | 2 | 27 | 4.05 |