2006
DOI: 10.1016/j.amc.2006.02.027
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General fuzzy linear systems

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Cited by 52 publications
(30 citation statements)
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“…Research on solving systems of linear matrix equations has been ongoing for the past 50 or more years (Navarra et al 2001). When B ∈ R 1×1 , fuzzy linear matrix equation transforms to a fuzzy linear equation that has been studied by many authors (Abbasbandy et al 2006;Allahviranloo 2003Allahviranloo , 2004Allahviranloo , 2005aAllahviranloo and Afshar Kermani 2006;Asady et al 2005;Dehghan and Hashemi 2006;Friedman et al 1998Friedman et al , 2003Ma et al 2000;Wang and Zheng 2006;Wanga et al 2001;Zheng and Wang 2006.) Friedman et al (1998) proposed a general model for solving such fuzzy linear systems by using the embedding approach.…”
Section: Introductionmentioning
confidence: 97%
“…Research on solving systems of linear matrix equations has been ongoing for the past 50 or more years (Navarra et al 2001). When B ∈ R 1×1 , fuzzy linear matrix equation transforms to a fuzzy linear equation that has been studied by many authors (Abbasbandy et al 2006;Allahviranloo 2003Allahviranloo , 2004Allahviranloo , 2005aAllahviranloo and Afshar Kermani 2006;Asady et al 2005;Dehghan and Hashemi 2006;Friedman et al 1998Friedman et al , 2003Ma et al 2000;Wang and Zheng 2006;Wanga et al 2001;Zheng and Wang 2006.) Friedman et al (1998) proposed a general model for solving such fuzzy linear systems by using the embedding approach.…”
Section: Introductionmentioning
confidence: 97%
“…Indeed, they employed the definition for weak fuzzy solution, introduced in [21], where Equations (3) and (4) are transformed to the following:…”
Section: Definition 3 (Fuzzy Complex Arithmetic)mentioning
confidence: 99%
“…They have used the parametric form of fuzzy numbers and replace the original fuzzy linear system by 2n × 2n crisp system. Asady et al [5], who merely discussed the full row rank system, used the same method to solve the m × n fuzzy linear system for m ≤ n. Zheng and wang [15,16] discussed the solution of the general m × n consistent and inconsistent fuzzy linear system. On the fuzzy linear system of dual equations A x = B x ⊕ b, where A and B are real square matrices, Friedman et.…”
Section: Introductionmentioning
confidence: 99%