Name
Abstract | ||
|---|---|---|
Basaran [Calculating fuzzy inverse matrix using fuzzy linear equation system, Applied Soft Computing, 12 (2012), 1810–1813] proposed a method for finding the inverse of a fuzzy matrix by assuming all the elements of the fuzzy inverse matrix as non-negative fuzzy numbers, while some of the elements of fuzzy matrix inverse may also be negative fuzzy numbers. Keeping the same in mind, Mosleh and Otadi [A discussion on “Calculating fuzzy inverse matrix using fuzzy linear equation system”, Applied Soft Computing, 28 (2015), 511–513] assumed (i, j) element x˜ij=(xij,αij,βij) of the fuzzy inverse matrix as a non-negative fuzzy number if the value of xij obtained by Basaran's approach, is a non-negative real number and a negative fuzzy number if the value of xij is negative real number. In this paper, it is shown that the fuzzy multiplicative inverse of a fuzzy matrix, obtained by considering this assumption, is also not an exact fuzzy multiplicative inverse. Furthermore, the required modifications, in Mosleh and Otadi's approach, to obtain the exact multiplicative inverse of a fuzzy matrix are suggested. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.asoc.2017.04.026 | Applied Soft Computing |
Keywords | Field | DocType |
Fuzzy numbers,Fuzzy linear systems,Fuzzy inverse | Mathematical optimization,Multiplicative inverse,Defuzzification,Mathematical analysis,Fuzzy measure theory,Fuzzy logic,Fuzzy mathematics,Fuzzy subalgebra,Fuzzy associative matrix,Fuzzy number,Mathematics | Journal |
Volume | ISSN | Citations |
58 | 1568-4946 | 1 |
PageRank | References | Authors |
0.36 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jagdeep Kaur | 1 | 27 | 4.05 |
| Amit Kumar | 2 | 310 | 40.43 |