A Multi-Attribute Decision-Making Procedure Based on Complex q-Rung Orthopair Fuzzy Weighted Fairly Aggregation Information

A Multi-Attribute Decision-Making Procedure Based on Complex q-Rung Orthopair Fuzzy Weighted Fairly Aggregation Information

Lemnaouar Zedam, Zeeshan Ali, Tahir Mahmood
Copyright: © 2022 |Pages: 30
DOI: 10.4018/IJFSA.303561
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Abstract

In this study, the authors explore the complex q-rung orthopair fuzzy sets, which are preferred to be enhanced of the complex intuitionistic fuzzy sets and the complex Pythagorean fuzzy sets, individually. The intention is regarding the buildup of certain innovative operational laws and their related weighted aggregation operators based on the complex q-rung orthopair fuzzy (CQROF) information. In this regard, they characterize certain original neutral or fair operational laws that involve the model of proportional distribution to accomplish a neutral or fair usage to the truth and falsity functions of CQROFSs. Consequently, with these operations, they acquire CQROF weighted fairly aggregation (CQROFWFA) and CQROF ordered weighted fairly aggregation (CQROFOWFA) operators which can neutrally or fairly provide the truth and falsity degrees. They implement an MADM (multi-attribute decision-making) methodology with multiple decision makers and partial weight knowledge in the structure of CQROFSs.
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1. Introduction

A decision-making tool is a procedure of making decisions by classifying a choice, collecting data, and evaluating alternative resolutions. Based on a step-by-step decision-making procedure can help intellectuals make massive thoughtful, investigating decisions by organizing relevant data and defining alternatives. Up to date, MADM is a quickly growing exploration field that involves the top reasonable alternative from the family of conventional possibilities at the starting of the various criteria. Yet, massive difficult to desire the opinion of the experts more expertly and explicitly due to the ambiguity and complexity involved in every field of genuine life dilemmas. To continue the implementation of the MADM technique, Zadeh (1965) preferred the well-known tool of the fuzzy set (FS), which described only the truth grade (TG), belonging to the unit interval. Furthermore, to improve the quality of the FS by including the falsity grade (FG), to diagnose the intuitionistic FS (IFS) (Atanassov, 1986) which categorized in such a means: IJFSA.303561.m01, where IJFSA.303561.m02. Due to the well-known features of IFS, various profitable and influential implementations are obtained in (Garg & Kumar, 2020; Liu et al., 2021; Xia et al., 2012). Further, the Pythagorean FS (PFS), intended by Yager (2016) by modifying the tool of IFS IJFSA.303561.m03, proposed a well-known technique: IJFSA.303561.m04, where IJFSA.303561.m05. The mathematical structure of PFS is much stronger is compared to IFS, and due to this valuable work, certain scholars have shown their interest in the form of many implementations given in (Garg, 2017a; Garg, 2017b; Garg, 2018a; Garg, 2018b; Yager, 2013). In a specific situation, someone clime that what happened if IJFSA.303561.m06. For this, the q-rung orthopair FS (QROFS), diagnosed by Yager (2016), modified the tool of PFS is to invent the new tool of QROFS in the shape: IJFSA.303561.m07, where IJFSA.303561.m08. QROFS has more capable and extensive power than the PFS and IFS to control awkward and intricate information in guanine decision troubles. Expected to this feature, the QROFS principle is one of the profitable and influential tools to survive with inaccurate, ambiguous, and uncertain knowledge, and obtains consideration to several specialists (Jan et al., 2020; Krishankumar et al., 2020; Krishankumar, Ravichandran, Gandomi et al, 2021; Krishankumar, Ravichandran, Kar et al, 2021) to an agreement with genuine life circumstances.

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