Open AccessComplex pythagorean fuzzy aggregation operators based on confidence levels and their applications
Author(s) -
Tahir Mahmood,
Zeeshan Ali,
Kifayat Ullah,
Qaisar Khan,
Hussain AlSalman,
Abdu Gumaei,
Sk. Md. Mizanur Rahman
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2022050
Subject(s) - pythagorean theorem , closeness , confidence interval , computer science , sensitivity (control systems) , fuzzy logic , fuzzy set , cls upper limits , mathematics , artificial intelligence , algorithm , data mining , statistics , medicine , engineering , mathematical analysis , geometry , electronic engineering , optometry
The most important influence of this assessment is to analyze some new operational laws based on confidential levels (CLs) for complex Pythagorean fuzzy (CPF) settings. Moreover, to demonstrate the closeness between finite numbers of alternatives, the conception of confidence CPF weighted averaging (CCPFWA), confidence CPF ordered weighted averaging (CCPFOWA), confidence CPF weighted geometric (CCPFWG), and confidence CPF ordered weighted geometric (CCPFOWG) operators are invented. Several significant features of the invented works are also diagnosed. Moreover, to investigate the beneficial optimal from a large number of alternatives, a multi-attribute decision-making (MADM) analysis is analyzed based on CPF data. A lot of examples are demonstrated based on invented works to evaluate the supremacy and ability of the initiated works. For massive convenience, the sensitivity analysis and merits of the identified works are also explored with the help of comparative analysis and they're graphical shown.