@article{article_894674, title={Fuzzy inverse logic: part-1. introduction and bases}, journal={Gümüşhane Üniversitesi Fen Bilimleri Dergisi}, volume={11}, pages={675–691}, year={2021}, DOI={10.17714/gumusfenbil.894674}, author={Öztekin, Ertekin}, keywords={Artificial intelligence, Fuzzy inverse logic, Fuzzy logic, Logic, Inverse logic}, abstract={In almost all deterministic and artificial intelligence techniques, for the solution of the scientific problems such as design and control problems, the output estimations are performed depending on manuplations on the values of input variables. With the other words, lots of different values derived from input parameters are tried in order to obtain desired output(s). Contrary to these conventional estimation methods, this study consists of two parts in which a new artificial intelligence method called fuzzy inverse logic(FIL) is developed to determine or estimate the value of the input parameters that give the targeted problem output. In the first part of this study, after providing a brief overview about the method of classical fuzzy logic(FL), the solution approaches and calculation details about FIL are given. In the second part of the study, fuzzy inverse logic method was used to solve one simple mathematical problem and one simple civil engineering problem. After the validity of the developed method was demonstrated by graphics and tables. some evaluations were made about the method.}, number={3}, publisher={Gumushane University}