Multi-criteria decision-making algorithm based on aggregation operators under the complex interval-valued q-rung orthopair uncertain linguistic information
Affiliations: [a] School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India
| [b] Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan
| [c] College of Economics and Management, Bejing University of Technology, Beijing, China
| [d] Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
Correspondence:
[*]
Corresponding author. Harish Garg, School of Mathematics, Thapar Institute of Engineering & Technology, Deemed
University, Patiala, Punjab, India. (E-mails: harishg58iitr@gmail.com., harish.garg@thapar.edu) and Zaoli Yang, (E-mail: yangzaoli@bjut.edu.cn.)
Abstract: The paper aims to present a concept of a Complex interval-valued q-rung orthopair uncertain linguistic set (CIVQROULS) and investigated their properties. In the presented set, the membership grades are considered in terms of the interval numbers under the complex domain while the linguistic features are added to address the uncertainties in the data. To further discuss more, we have presented the operation laws and score function for CIVQROULS. In addition to them, we present some averaging and geometric operators to aggregate the different pairs of the CIVQROULS. Some fundamental properties of the proposed operators are stated. Afterward, an algorithm for solving the decision-making problems is addressed based on the proposed operator using the CIVQROULS features. The applicability of the algorithm is demonstrated through a case study related to brain tumors and their effectiveness is compared with the existing studies.
Keywords: Aggregation operators, classifications of brain tumors, complex interval
valued; q-rung orthopair uncertain linguistic sets
