Hybrid decision making method based on q-rung orthopair fuzzy improved weighted geometric operator of q-rung orthopair fuzzy values

Gagandeep Kaur, Reeta Bhardwaj, Rishu Arora and Kamal Kumar ()
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Gagandeep Kaur: Amity University Haryana
Reeta Bhardwaj: Amity University Haryana
Rishu Arora: Maharishi Markandeshwar (Deemed to be University)
Kamal Kumar: Amity University Haryana

OPSEARCH, 2023, vol. 60, issue 3, No 11, 1312-1330

Abstract: Abstract In this article, a hybrid multi-attribute decision-making (MADM) strategy for the q-rung orthopair fuzzy values (q-ROVs) environment is presented. For this, the q-rung orthopair fuzzy improved weighted geometric (q-ROFIWG) aggregation operator (AO) for aggregating the q-ROVs is proposed. This presented operator can deal with the shortcomings of the existing q-rung orthopair fuzzy weighted geometric (q-ROFWG) AO based on q-ROFVs. The q-ROFIWG AO overcomes the misleading results given by the existing approaches and works on the inefficiency of the existing operators. Additionally, few properties like idempotency, monotonicity, and boundedness are established to show the viability and legitimacy of developed operators. Based on the proposed q-ROFIWG AO, a hybrid MADM approach for the context of q-ROVs is developed. Besides this, an application situation that involves an investment firm to demonstrate the practicality and accuracy of the presented MADM approach is presented. The MADM approach proposed in this article can overcomes the drawbacks of the existing MADM algorithms, where existing MADM algorithms are unable to determine the alternative’s ranking order (RO). Finally, a comparison with existing MADM algorithms reveals the efficacy of the new MADM algorithm.

Keywords: MADM; q-ROVs; Score value; Aggregating operators (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12597-023-00664-x

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