جستجوی مقالات مرتبط با کلیدواژه "intuitionistic fuzzy number" در نشریات گروه "برق"

In the process of decision making, the necessity of aggregation of input arguments into a single output becomes a key step and as a result selection of an appropriate aggregation operator is a vital aspect. The aim of this contribution is threefold. First, we study algebraic operations of trapezoidal intuitionistic fuzzy numbers (TrIFNs) and then on the basis of these operational laws, we de ne four types of harmonic mean operators with TrIFNs. Second, the required properties of the proposed operators are reviewed. After that, an approach based on the proposed operators is introduced to solve a group decision making problem. Finally, a practical example is furnished to demonstrate the applicability of the proposed operators in the decision making context. The contribution ends by introducing comparative analysis on the obtained results.

Group decision making (GDM) is usually used for solving the complex decision problems, which is an important part of modern decision science. This paper investigates a GDM method based on projection measurement in an intuitionistic fuzzy environment. First, this article introduces an ideal decision of all individual decisions, and the weights of decision makers are determined by using the projection measurement. Then the individual decisions are aggregated into a collective decision by using the weighted averaging operator. Finally, the preference order of alternatives is ranked based on the collective decision by using the score and accuracy function of the intuitionistic fuzzy number. In addition, a comparison with another GDM method is also done. The feasibility and practicability of the developed method are illustrated by an experimental analysis. The experimental result shows that the projection-based method is a high-resolution decision method.