Aggregation of inconsistent rules for fuzzy rule base simplification
This paper proposes a rule base simplification method for fuzzy systems. The method is based on aggregation of rules with different linguistic values of the output for identical permutations of linguistic values of the inputs which are known as ...
New perspective on the classification accuracy based on neighborhood system
Classification accuracy plays an important role in the evaluation of single-label and multi-label classification methods. Many different evaluation methods have been proposed to evaluate different kind of classification methods. Even in the same ...
Dual hesitant bipolar fuzzy aggregation operators in multiple attribute decision making
In this paper, we investigate the multiple attribute decision making problems based on the aggregation operators with dual hesitant bipolar fuzzy information. Firstly, we propose the concept of the dual hesitant bipolar fuzzy set and fundamental ...
Pythagorean uncertain linguistic aggregation operators for multiple attribute decision making
In this paper, we investigate the multiple attribute decision making problems with Pythagorean uncertain linguistic information. Then, we utilize arithmetic and geometric operations to develop some Pythagorean uncertain linguistic aggregation ...
Model for evaluating the performance of vehicular Ad Hoc network with triangular fuzzy information
Einstein product is a t-norm and Einstein sum is a t-conorm. They are good alternatives to algebraic product and algebraic sum, respectively. Nevertheless, it seems that most of the existing triangular fuzzy aggregation operators are based on the ...
Pythagorean fuzzy Hamacher aggregation operators and their application to multiple attribute decision making
In this paper, we utilize Hamacher operations to develop some Pythagorean fuzzy aggregation operators: Pythagorean fuzzy Hamacher weighted average (PFHWA) operator, Pythagorean fuzzy Hamacher weighted geometric (PFHWG) operator, Pythagorean fuzzy ...