@inproceedings{dfb5eedbbe69456faf01580187741629,

title = "Solving a fuzzy linear equation with a variable, using the expected interval of a fuzzy number",

abstract = "In this work, a fuzzy linear equation AX + B = 0, is solved, were A, B y C are triangular diffuse numbers, could also be trapezoidal. For this type of equations there are several solution methods, the classic method that does not always obtain solutions, the most used is the method of alpha cuts and arithmetic intervals that although it always finds a solution, as a value is taken closer to zero (more inaccurate), the solution satisfies less to the equation. The new method using the expected interval, allows to obtain a smaller support set where the solutions come closer to satisfying the equation, also allows to find a single interval where the best solutions for decision making are expected to be found.",

keywords = "Alpha cut, Expected interval, Fuzzy arithmetic, Fuzzy equations, Fuzzy number",

author = "Richard Abramonte and Eder Escobar and Antenor Aliaga and Flabio Gutierrez",

note = "Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press.; 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 ; Conference date: 25-10-2020 Through 28-10-2020",

year = "2020",

month = dec,

day = "2",

doi = "10.3233/FAIA200771",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press BV",

pages = "98--106",

editor = "Tallon-Ballesteros, {Antonio J.} and Chi-Hua Chen",

booktitle = "Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020",

}