TY - JOUR
ID - 5180
TI - Some frank aggregation operators based on the interval-valued intuitionistic fuzzy numbers
JO - International Journal of Nonlinear Analysis and Applications
JA - IJNAA
LA - en
SN -
AU - Oraki, Maryam
AU - Eshaghi Gordji, Madjid
AU - Ardakani, Halimeh
AD - Department of Mathematics, Payame Noor University, Tehran, Iran
AD - Department of Mathematics, Semnan University, Semnan, Iran
Y1 - 2021
PY - 2021
VL - 12
IS - Special Issue
SP - 325
EP - 342
KW - decision-making sciences
KW - aggregation operators
KW - nonlinear integrals
KW - intuitionistic fuzzy set
KW - t-conorm and t-norm Frank
DO - 10.22075/ijnaa.2021.23143.2482
N2 - In this article, we introduce the interval-valued intuitionistic fuzzy set (textbf{IVIFS}), which are generalized forms of intuitionistic fuzzy set (textbf{IFS}) and fuzzy set, this is because in intuitionistic fuzzy sets the non-membership function also applies to evaluations, and these sets are useful for modelling ambiguous concepts that abound in real problems. Here we try to look for new methods for more practical solutions in optimization problems for various sciences such as computer science, mathematics, engineering, medicine, psychology, climate and etc. First, with the introduction of t-norm Frank, an action we construct some Frank aggregation operators on interval-valued intuitionistic fuzzy numbers (textbf{IVIFN}s), including the Frank weighted averaging operator, Frank-ordered weighted averaging operator, Frank hybrid weighted averaging operator, Frank geometric weighted averaging operator, Frank geometric-ordered weighted averaging operator, and Frank geometric hybrid weighted averaging operator. Also, examine some of the characteristics of these operators. In the following, we introduce two multiple attribute group decision-making methods (textbf{MAGDM}) based on such operators. Finally, we provide illustrative examples of these methods.
UR - https://ijnaa.semnan.ac.ir/article_5180.html
L1 - https://ijnaa.semnan.ac.ir/article_5180_9c48d5cbbdf22823420a6f4abf11fafd.pdf
ER -