Abstarct: The first step in using structural equation modeling using the partial least squares method (PLS-SEM), Is to create a model and path that connects the main variables and constructs. When using PLS-SEM, researchers should follow a multi-step process that includes the following: 1. Model specifications, 2. External evaluation of the model, 3. Internal evaluation of the model It is easy to talk about measurable variables whose exact value we have. But if our variables are fuzzy (like intelligence, aptitude, stress, and …), that is, we can not measure their exact value, then the previous methods will not work and we have to look for methods with the fuzzy logic. Sometimes in the analysis of structural equations,immeasurable hidden variables are used, which are inherently fuzzy, so fuzzy methods can be used to analyze them to minimize model ambiguity. Model parameters can also be obtained using fuzzy regression. The methods that will be discussed in this dissertation are the use of fuzzy systems tools for structural equation modeling of the partial least squares.