Development of complex cubic q-rung orthopair fuzzy aggregation operators and their application in group decision-making

Yu-hong, DU; Du, Yuhong; Sun, Ronglu; Du, Yuqin

doi:10.1016/j.jmaa.2022.126848

Cited by 6 publications

(2 citation statements)

References 39 publications

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“…In the final grading and ranking stage of alternatives, the primary methods for aggregating decision information in an intuitionistic fuzzy environment include the intuitionistic fuzzy weighted geometric (IFWG) operator, IF ordered weighted geometric (IFOWG) operator, IF weighted averaging (IFWA) operator, and IF ordered weighted average (IFOWA) operator [ 67 , 68 , 69 ]. When aggregating various interval numbers, fuzzy language sets, and other information, fuzzy information is always quantified somehow and then becomes deterministic data, while this process is accompanied by a certain degree of information attenuation [ 70 , 71 ]. Therefore, how to make the aggregated information as complete as possible and add additional information to fill the information loss in the decision-making process has become a novel research direction in the field of aggregation operators in MCGDM [ 72 , 73 , 74 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Liu

Zhu

Yang

et al. 2023

Entropy

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How to ensure the normal production of industries in an uncertain emergency environment has aroused a lot of concern in society. Selecting the best emergency material suppliers using the multicriteria group decision making (MCGDM) method will ensure the normal production of industries in this environment. However, there are few studies in emergency environments that consider the impact of the decision order of decision makers (DMs) on the decision results. Therefore, in order to fill the research gap, we propose an extended MCGDM method, whose main steps include the following: Firstly, the DMs give their assessment of all alternatives. Secondly, we take the AHP method and entropy weight method to weight the criteria and the DMs. Thirdly, we take the intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator we proposed to aggregate evaluation information and take the TOPSIS method to rank all the alternatives. Finally, the proposed method is applied in a case to prove its practicability and effectiveness. The proposed method considers the influence of the decision order of the DMs on the decision results, which improves the accuracy and efficiency of decision-making results.

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Section: Literature Reviewmentioning

confidence: 99%

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Liu

Zhu

Yang

et al. 2023

Entropy

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“…Thus, CQROFSs demonstrate that they are more impressive for dealing with unsure issues. After the CQROFS was effectively introduced, numerous researchers started to consider it broadly and profoundly [20][21]. In general, a linguistic variable is a variable whose qualities are words or sentences in the fake language.…”

Section: Introductionmentioning

confidence: 99%

Weighted Bonferroni Aggregation Operators on Complex q-Rung Orthopair 2-Tuple Linguistic Variables With Application to Green Supply Chain Management

Ali,

Mahmood,

Yang

2023

IEEE Access

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In this paper, we give advanced study in complex q-rung orthopair 2-tuple linguistic variables (CQRO2-TLVs). The major theme of the paper is to evaluate the novel concept of CQRO2-TLVs and their dominant operational laws so that it can be a competent procedure to assess ambiguous and erratic information in realistic decision problems. Furthermore, we derive the weighted Bonferroni aggregation operators with weighted Bonferroni mean (WBM) and weighted geometric Bonferroni mean (WGBM) based on the CQRO2-TLV information for exploring the complex q-rung orthopair 2-tuple linguistic WBM (CQRO2-TLWBM) and complex q-rung orthopair 2-tuple linguistic WGBM (CQRO2-TLWGBM) operators. Some flexible and reliable properties and theories for the CQRO2-TLWBM and CQRO2-TLWGBM operators are investigated. We then introduce two new techniques to manage the multi-attribute decision making (MADM) issues under the fuzzy environment based on these operators. We know that a green supply chain management integrates environmental, ethical, and social concerns that make more about environmental and social responsibility correlated with design, production and distribution. In this paper, we apply the proposed techniques to green supply chain management to express the efficacy and usefulness of the proposed techniques. We finally make the comparisons of the proposed operators with some existing operators that demonstrate the effectiveness of our proposed method.INDEX TERMS Fuzzy sets, Complex q-rung orthopair (CQRO) fuzzy sets, 2-tuple linguistic variables (2-TLVs), CQRO 2-TLVs, Weighted Bonferroni aggregation operators, Weighted Bonferroni mean (WBM), Green supply chain.

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Some $$p,q$$-cubic quasi-rung orthopair fuzzy operators for multi-attribute decision-making

Chu

Garg

Rahim

et al. 2023

Complex Intell. Syst.

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This paper aims to support decision-makers improve their ability to accurately capture and represent their judgment in a wide range of situations. To do this, we propose a new type of fuzzy set called a $$p,q$$ p , q -cubic quasi-rung orthopair fuzzy set ($$p,q$$ p , q -CQOFS). The $$p,q$$ p , q -CQOFS allows for a more flexible and detailed expression of incomplete information through the use of an additional parameter. The paper describes the concept of $$p,q$$ p , q -CQOFS and its relationship to other types of fuzzy sets, introduces score and accuracy functions for $$p,q$$ p , q -CQOFS and analyzes some of its mathematical properties, defines the Hamming distance measure between two $$p,q$$ p , q -CQOFSs and examines some of its important properties, investigates the basic operations of $$p,q$$ p , q -CQOFSs and extends these laws to aggregation operators, and introduces weighted averaging and geometric aggregation operators for combining $$p,q$$ p , q -cubic quasi-rung orthopair fuzzy data.

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Development of complex cubic q-rung orthopair fuzzy aggregation operators and their application in group decision-making

Cited by 6 publications

References 39 publications

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Weighted Bonferroni Aggregation Operators on Complex q-Rung Orthopair 2-Tuple Linguistic Variables With Application to Green Supply Chain Management

Some $$p,q$$-cubic quasi-rung orthopair fuzzy operators for multi-attribute decision-making

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