An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry

Uslu, Yeter Demir; Dınçer, Hasan; Yüksel, Serhat; Gedikli, Erman; Yılmaz, Emre

doi:10.1007/s44196-022-00069-6

Cited by 10 publications

(9 citation statements)

References 41 publications

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“…We used three distinct methods to solve the numerical problem, emphasizing their key steps: the q -RPF-TOPSIS method (Akram and Shumaiza 2021 ), q -ROF-DEMATEL-TOPSIS method (Uslu et al. 2022 ), and q -ROF-MABAC method (Gong et al. 2020 ).…”

Section: Comparative Study and Discussionmentioning

confidence: 99%

“…On the given numerical case, we applied the q -ROF-DEMATEL-TOPSIS ( ) technique suggested by Uslu et al. ( 2022 ). Only the positive and negative membership grades are taken into account; the neutral membership grade is ignored.…”

Section: Comparative Study and Discussionmentioning

confidence: 99%

“…Uslu et al. ( 2022 ) established a q -ROF-DEMATEL-TOPSIS approach and applied it to solve a DM problem.…”

Section: Introductionmentioning

confidence: 99%

“…In the last years, various extended versions of different methodologies were established by the researchers, such as the q -RPF-TOPSIS method (Akram and Shumaiza 2021 ), q -ROF-DEMATEL-TOPSIS method (Uslu et al. 2022 ), and the q -ROF-MABAC method (Gong et al. 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Integrated multi-criteria group decision-making methods based on q-rung picture fuzzy sets for the identification of occupational hazards

2023

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Practical group decision-making (DM) problems frequently involve challenging circumstances when attempting to assign appropriate values to the data because of the haziness and uncertainty of the surrounding circumstances. In order to address the ambiguity and imprecision that arise in DM issues, q -rung picture fuzzy sets ( q -RPFSs) have a more broader structure. In this research, the criteria importance through intercriteria correlation (CRITIC) and the decision-making trial and evaluation laboratory (DEMATEL) techniques are separately integrated with the multi-attributive border approximation area comparison (MABAC) method. The MABAC method, which measures how far each alternative is from the border approximation area, is very stable and useful for resolving real-world problems. The CRITIC technique calculates the criteria weights by taking into account the relationships between attributes, and the DEMATEL methodology is recognized as the best method for determining how several criteria or factors interact with one another. As a result of these justifications, we made the decision to create the CRITIC-MABAC and DEMATEL-MABAC procedures for q -RPFSs. By using the suggested strategies, the primary goal of this article is to determine the occupational risk that has the greatest impact on the health of a hospital’s medical staff. We begin by employing the CRITIC technique to determine the criteria weights. In addition, we calculate the weights of the criteria using the DEMATEL approach. The offered methodologies are investigated for their applicability to determine the most serious occupational hazard for hospital employees. We conducted a comparison with three earlier studies to verify the accuracy of the tactics that are offered.

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Section: Comparative Study and Discussionmentioning

confidence: 99%

Section: Comparative Study and Discussionmentioning

confidence: 99%

“…Uslu et al. ( 2022 ) established a q -ROF-DEMATEL-TOPSIS approach and applied it to solve a DM problem.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrated multi-criteria group decision-making methods based on q-rung picture fuzzy sets for the identification of occupational hazards

2023

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“…In the calculation process, fuzzy best and worst values (𝐼𝐼 ̃𝑗𝑗 * , 𝐼𝐼 ̃𝑗𝑗− ) are taken into consideration. Equation ( 29) gives information about the details of these values [38]. Mean group utility (𝑆𝑆 ̃𝑖𝑖) and maximal regret (𝑅𝑅 � 𝑖𝑖 ) are calculated in the next process.…”

Section: Vikor With Q-rofssmentioning

confidence: 99%

Analysis of Environmental Priorities for Green Project Investments Using an Integrated q-Rung Orthopair Fuzzy Modeling

et al. 2022

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Green energy projects contribute to sustainable economic development of countries with the employment of environmentally friendly energy production strategies. However, environmental priorities should be examined for this situation. Therefore, priority analysis should be executed for the environmental issues while implementing green investment projects. Accordingly, this study aims at proposing a unique decision-making model based on orthopair fuzzy sets and the golden cut degrees for the environmental priorities of green project investments. The main novelty of the study stems from its proposed integrated model by equipping the Multi-SWARA, and TOPSIS based on the q-ROFSs technique with the golden cut. A set of criteria is identified for measuring the green projects' environmental priorities while several project alternatives are also determined with the supporting literature. Appropriately, the extensions of Multi-SWARA and TOPSIS methods have been applied for weighting and ranking the factors, respectively, in the integrated approach. Additionally, a comparative evaluation is performed with the help of VIKOR method to rank the alternatives. Besides, the sensitivity analysis is applied to illustrate the coherency of the weighting results in the decision-making approach. Accordingly, 5 cases are considered to measure the effects of changing weight results. It is defined that this model is coherent and could be extended for further studies. It is concluded that the reduction of emissions is the most essential item for the environmental priorities of green project investments. Pollution control, waste management and eco-friendly transportation activities are the most critical alternatives. Therefore, this study recommends that investors of green projects should prioritize the strategies of minimizing carbon emissions problem. In this context, investing in renewable energy technologies will help green project investors solve this problem.

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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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An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry

Cited by 10 publications

References 41 publications

Integrated multi-criteria group decision-making methods based on q-rung picture fuzzy sets for the identification of occupational hazards

Integrated multi-criteria group decision-making methods based on q-rung picture fuzzy sets for the identification of occupational hazards

Analysis of Environmental Priorities for Green Project Investments Using an Integrated q-Rung Orthopair Fuzzy Modeling

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

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