Analysis of T-Spherical Fuzzy Matrix and Their Application in Multiattribute Decision-Making Problems

Garg, Harish; Saad, Muhammad; Rafiq, Ayesha

doi:10.1155/2022/2553811

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Nowadays, MCDM and MCGDM have ample scope of applications in multitude spheres under various unpredictability circumstances. Further, numerous (Garg et al 2022 ; Deetae 2021 ; Chakraborty et al 2022 ; Das et al 2022 ; Haque et al 2020 ) works on MCDM in neutrosophic environment are developed frequently which play an essential role in science and engineering.…”

Section: Introductionmentioning

confidence: 99%

Comparative study between GRA and MEREC technique on an agricultural-based MCGDM problem in pentagonal neutrosophic environment

Banik

Alam

Chakraborty³

2023

Int. J. Environ. Sci. Technol.

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In this research article, an improved Multi-criteria group decision-making (MCGDM) strategy has been developed in pentagonal neutrosophic environment incorporating grey relational analysis and method on the removal effects of criteria (MEREC) techniques to address the relative advantages and disadvantages of these aspects in MCGDM. The aim of the study is to improve MCGDM technique which can capture the underlying uncertainties in robust way and can produce consistent results in a more rigorous way. Here, the conception of Hamming distance between two pentagonal neutrosophic number (PNN)s is introduced and the weighted arithmetic and geometric averaging operators in PNN arena are deployed to craft our computational technique more progressive and robust. An agriculture-based numerical problem is illustrated to demonstrate the ranking results of the alternatives by both of the techniques. After evaluating the problem by two aggregation operators, it is found that “plantation crop” is the best alternative under certain circumstances. Lastly, the sensitivity investigation is performed which reveals that with the appliance of arithmetic and geometric aggregation operators the best ranked alternative preserves its position by both of the ranking methods, which definitely exhibit the consistency and robustness of our executed methodology.

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Section: Introductionmentioning

confidence: 99%