Abstract | ||
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This paper introduces the concept of fuzzy projection of a fuzzy number on a set of fuzzy numbers based on r-cut approach. It is proved that the projection of a fuzzy number on the set of all fuzzy numbers is itself and under a special metric, the proposed fuzzy projection is a non-expansive mapping. By using this definition, the concept of fuzzy linear projection equation is defined and to solve it, a numerical method is applied. Based on the proposed algorithm and as an important application, two different types of system of fuzzy linear equations with fuzzy variables are solved. Numerical results illustrate the applicabilities of proposed approach. |
Year | DOI | Venue |
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2016 | 10.1007/s10700-015-9222-8 | FO & DM |
Keywords | Field | DocType |
System of fuzzy linear equations,Korpelevich method,Fuzzy projection,Fuzzy linear projection equation | Discrete mathematics,Mathematical optimization,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Fuzzy mathematics,Fuzzy subalgebra,Fuzzy associative matrix,Fuzzy number,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 2 | 1568-4539 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Morteza Pakdaman | 1 | 99 | 8.29 |
Effati Sohrab | 2 | 276 | 30.31 |