Uncertainty modeling using 929 intuitionistic fuzzy numbers

Introduction/purpose: The paper discusses the selection of most optimal supplier using example an unmanned aircraft when decision maker has data a qualitative nature. Problems that arise in practice suppliers relate to adequate criteria as well way they are evaluated by maker. One ways assessing character is usage linguistic expressions, which gives makers freedom express their position and opinion through descriptive assessments. This method assessment not accurate can introduce certain amount uncertainty for Methods: To solve problem uncertainty, proposes modeling intuitive phase numbers. Intuitive numbers suitable solving situations it necessary review safety during assessment. rank suppliers, ELECTRE used, adapted (IF ELECTRE). IF was chosen because clearly presents potential all i.e. advantages disadvantages relation required criteria. Results: Using ELECTRE, final results provide shape mutual preference or indifference between suppliers. ranking shows future procurement serve reference making. Conclusion: contribution this reflected proposed model be used only selection, but also similar problems where made based on inaccurate data. these models seeks reduce indecision subjectivity