Fuzzy Modeling of non-MCDM Problems Under Indeterminacy

Fuzzy set theory (FST) is a useful approach for modeling the uncertainties of real-life problems. In some cases, uncertainty level events may not be determined surely because environmental factors. This named “incomplete information” case and hesitation about represented with indeterminacy concept. There are various FST extensions in literature that consider modeling. These similar scenarios, parts theories overlap others so nature considered scenarios must understood well to obtain reliable results. Nevertheless, most studies do conceptually analyze decides an extension as pre-step study without expressing apparent reason. Therefore, quality obtained results becomes questionable. Moreover, these have been developed line requirements Multi-Criteria Decision-Making (MCDM) problem so, assumptions limitations can cause reliability issues fuzzy models non-MCDM problems continuous systems. scope this study, capabilities, advantages, disadvantages well-known analyzed compared needs The analysis has also illustrated on numerical examples make findings clear. showed that, clear advantages over terms applicability, ease calculation scenario comprehensiveness. builds preliminary step guiding selection Besides, it invitation fulfill gap field