… selection problem under incomplete and uncertain information environment. In other … -valued
intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to …

… Owing to the advantage of intuitionistic fuzzy numbers set over classical fuzzy numbers set…
intuitionistic fuzzy setting (namely, intuitionistic-TOPSIS, intuitionistic-MOORA and intuitionistic-…

… in Intuitionistic Fuzzy environment. Here comparative judgments are taken in the form of
Triangular Intuitionistic fuzzy number (… Intuitionistic Fuzzy number by using Nearest Weighted …

… developed based on fuzzy numbers, intuitionistic fuzzy numbers and Znumbers. Among the
… on the intuitionistic fuzzy numbers, Z-numbers and intuitionistic Znumbers are reviewed. …

… with the supplier selection in supply chain management with intuitionistic fuzzy information,
in … , and the attribute values take the form of intuitionistic fuzzy numbers. TOPSIS method with …

… makers are considered as linguistic terms expressed in intuitionistic fuzzy numbers. … = [μ k
, ν k , π k ] be an intuitionistic fuzzy number for rating of kth decision maker. Then the weight of …

… This research presents an intuitionistic fuzzy TOPSIS method to select the right sustainable
supplier that … , but better results can be achieved by using intuitionistic fuzzy numbers [3]. The …

… combining the Intuitionistic Fuzzy Set and TOPSIS is very effective to select which supplier
is … Fuzzy numbers are used for deal real-life uncertainty and linguistic human decisions. The …

… , supplier selection (SS) process should have appropriate methods and criteria for evaluating
… intuitive fuzzy numbers. D k = ( u k , v k , λ k ) is an IF number for rating kth decision-maker. …

… of uncertainty, we propose to use intuitionistic fuzzy numbers for assessments as well as for
… either supplier selection or SRM. However, when the focus is on supplier selection, supply …