New Score and Accuracy Function for IVIF Sets and Their Applications to AHP for MCGDM

Kokoç, Melda; Ersöz, Süleyman

doi:10.1080/01969722.2021.1949519

Cited by 5 publications

(1 citation statement)

References 45 publications

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“… [57] Suppose that and be any two q-RLNN, Scr(

) and Scr(

) is a Score-function of

and

, H(

) and H(

) is an Accuracy-function of

and

. Suppose that if we have Scr(

, which showing that

Suppose that if we have Scr(

, which showing that

Suppose that if we have H(

, which showing that

Suppose that if we have H(

, which showing that

.…”

Section: Basic Operationsmentioning

confidence: 99%

A robust algorithmic framework for the evaluation of international cricket batters in ODI format based on q-rung linguistic neutrosophic quantification

Saeed,

Wahab,

Ali

et al. 2023

Heliyon

View full text Add to dashboard Cite

“… [57] Suppose that and be any two q-RLNN, Scr(

) and Scr(

) is a Score-function of

and

, H(

) and H(

) is an Accuracy-function of

and

. Suppose that if we have Scr(

, which showing that

Suppose that if we have Scr(

, which showing that

Suppose that if we have H(

, which showing that

Suppose that if we have H(

, which showing that

.…”

Section: Basic Operationsmentioning

confidence: 99%

A robust algorithmic framework for the evaluation of international cricket batters in ODI format based on q-rung linguistic neutrosophic quantification

Saeed,

Wahab,

Ali

et al. 2023

Heliyon

View full text Add to dashboard Cite

Sustainable stationary hydrogen storage application selection with interval-valued intuitionistic fuzzy AHP

Acar,

Haktanır,

Temur

et al. 2024

International Journal of Hydrogen Energy

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A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors

Wahab,

Ali,

Riaz

et al. 2024

Sci Rep

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The idea of probabilistic q-rung orthopair linguistic neutrosophic (P-QROLN) is one of the very few reliable tools in computational intelligence. This paper explores a significant breakthrough in nanotechnology, highlighting the introduction of nanoparticles with unique properties and applications that have transformed various industries. However, the complex nature of nanomaterials makes it challenging to select the most suitable nanoparticles for specific industrial needs. In this context, this research facilitate the evaluation of different nanoparticles in industrial applications. The proposed framework harnesses the power of neutrosophic logic to handle uncertainties and imprecise information inherent in nanoparticle selection. By integrating P-QROLN with AO, a comprehensive and flexible methodology is developed for assessing and ranking nanoparticles according to their suitability for specific industrial purposes. This research contributes to the advancement of nanoparticle selection techniques, offering industries a valuable tool for enhancing their product development processes and optimizing performance while minimizing risks. The effectiveness of the proposed framework are demonstrated through a real-world case study, highlighting its potential to revolutionize nanoparticle selection in HVAC (Heating, Ventilation, and Air Conditioning) industry. Finally, this study is crucial to enhance nanoparticle selection in industries, offering a sophisticated framework probabilistic q-rung orthopair linguistic neutrosophic quantification with an aggregation operator to meet the increasing demand for precise and informed decision-making.

show abstract

New Score and Accuracy Function for IVIF Sets and Their Applications to AHP for MCGDM

Cited by 5 publications

References 45 publications

A robust algorithmic framework for the evaluation of international cricket batters in ODI format based on q-rung linguistic neutrosophic quantification

A robust algorithmic framework for the evaluation of international cricket batters in ODI format based on q-rung linguistic neutrosophic quantification

Sustainable stationary hydrogen storage application selection with interval-valued intuitionistic fuzzy AHP

A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors

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