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Copyright © 2021 Harish Garg et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

In this paper, a new decision-making algorithm has been presented in the context of a complex intuitionistic uncertain linguistic set (CIULS) environment. CIULS integrates the concept the complex of a intuitionistic fuzzy set (CIFS) and uncertain linguistic set (ULS) to deal with uncertain and imprecise information in a more proactive manner. To investigate the interrelation between the pairs of CIULSs, we combine the concept of the Heronian mean (HM) and the complex intuitionistic uncertain linguistic (CIUL) to describe some new operators, namely, CIUL arithmetic HM (CIULAHM), CIUL weighted arithmetic HM (CIULWAHM), CIUL geometric HM (CIULGHM), and CIUL weighted geometric HM (CIULWGHM). The main advantage of these suggested operators is that they considered the interaction between pairs of objects during the formulation process. Also, a number of distinct brief cases and properties of the operators are analyzed. In addition, based on these operators, we have stated a MAGDM (“multiattribute group decision-making”) problem-solving algorithm. The consistency of the algorithm is illustrated by a computational example that compares the effects of the algorithm with a number of well-known existing methods.

Details

Title
Some Complex Intuitionistic Uncertain Linguistic Heronian Mean Operators and Their Application in Multiattribute Group Decision Making
Author
Garg, Harish 1   VIAFID ORCID Logo  ; Ali, Zeeshan 2 ; Gwak, Jeonghwan 3   VIAFID ORCID Logo  ; Tahir Mahmood 2   VIAFID ORCID Logo  ; Sultan Aljahdali 4 

 School of Mathematics, Thapar Institute of Engineering and Technology (Deemed University), Patiala, Punjab, India 
 Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, Pakistan 
 Department of Software, Korea National University of Transportation, Chungju 27469, Republic of Korea; Department of Biomedical Engineering, Korea National University of Transportation, Chungju 27469, Republic of Korea; Department of AI Robotics Engineering, Korea National University of Transportation, Chungju 27469, Republic of Korea; Department of IT & Energy Convergence (BK21 FOUR), Korea National University of Transportation, Chungju 27469, Republic of Korea 
 Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia 
Editor
Sami Ullah Khan
Publication year
2021
Publication date
2021
Publisher
John Wiley & Sons, Inc.
ISSN
23144629
e-ISSN
23144785
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2534428909
Copyright
Copyright © 2021 Harish Garg et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/