@inproceedings{b34630b8afbb4877a9bf785f9f9e956c,

title = "A novel technique to solve fully fuzzy nonlinear matrix equations",

abstract = "Several techniques are suggested in order to generate estimated solutions of fuzzy nonlinear programming problems. This work is an attempt in order to suggest a novel technique to obtain the fuzzy optimal solution related to the fuzzy nonlinear problems. The major concept is on the basis of the employing nonlinear system with equality constraints in order to generate nonnegative fuzzy number matrixes γ˜,γ˜2,…,γ˜n that satisfies D˜γ˜+G˜γ˜2+…+P˜γ˜n=Q˜ in which D˜,G˜,…,P˜and Q˜ are taken to be fuzzy number matrices. An example is demonstrated in order to show the capability of the proposed model. The outcomes show that the suggested technique is simple to use for resolving fully fuzzy nonlinear system (FFNS).",

keywords = "Fuzzy solution, Fuzzy numbers, Fully fuzzy nonlinear system, Fully fuzzy matrix equations",

author = "Raheleh Jafari and Sina Razvarz and Alexander Gegov",

year = "2018",

month = dec,

day = "29",

doi = "10.1007/978-3-030-04164-9_117",

language = "English",

isbn = "978-3-030-04163-2",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "886--892",

editor = "Aliev, {Rafik A.} and Janusz Kacprzyk and Witold Pedrycz and Mo Jamshidi and Sadikoglu, {Fahreddin M.}",

booktitle = "13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018",

note = "13th International Conference on Applications of Fuzzy Systems and Soft Computing, ICAFS 2018 ; Conference date: 27-08-2018 Through 28-08-2018",

}