The Extended MOORA Method Based on Fermatean Fuzzy Information

Shahzadi, Gulfam; Luqman, Anam; Al-Shamiri, Mohammed M. Ali

doi:10.1155/2022/7595872

Cited by 8 publications

(3 citation statements)

References 55 publications

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“…Recently, Akram et al (2022a, b, c, d, e, f, g) proposed an integrated MULTIMOORA method combined with 2-tuple linguistic FFSs and illustrated the application of proposed method in selection of urban quality of life. Shahzadi et al (2022) applied MOORA method under FF information in the selection of intelligent manufacturing system (IMS). In the context of IVFFSs, generalization of capital budgeting techniques under IVFFSs was proposed by Sergi et al (2022).…”

Section: Interval-valued Fermatean Fuzzy Setsmentioning

confidence: 99%

Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators

Luqman

Shahzadi

2023

Granul. Comput.

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The utilization of electrical and electronics equipments in waste recycling has become a paramount for various countries. The waste electrical and electronics equipment (WEEE) recyclers own a crucial position in the environmental growth of a country as they help to minimize the carbon emissions during the recycling of WEEE in the most eco-friendly way. Therefore, the selection and assessment of an appropriate WEEE recycling partner has become a most important part of DM (decision-making) applications. The collusion of numerous quantitative and qualitative factors makes the recycling partner selection problem, a multifaced and significant decision for the managerial experts. The main objective of this work is to propose MADM (multi-attribute decision-making) techniques to evaluate the WEEE recycling partners under interval-valued Fermatean fuzzy (IVFF) information. In this regard, certain Hamacher AOs (aggregation operators) are proposed to develop the required DM method. These AOs include Hamacher weighted averaging, ordered weighted averaging, weighted geometric, ordered weighted geometric, generalized Einstein weighted averaging, generalized Einstein ordered weighted averaging, generalized Einstein weighted geometric, etc. Then, these averaging operators are utilized to come up with a MADM techniques under IVFF environment. Furthermore, the constructed technique is applied to a case study in China to incorporate with the e-waste recycling partner selection problem. Moreover, a brief comparison of the proposed with is presented with various existing techniques to manifest the productivity and coherence of the proposed model. Finally, the accuracy and consistency of results shows that the proposed technique is fully compatible and applicable to handle any MADM problem.

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Section: Interval-valued Fermatean Fuzzy Setsmentioning

confidence: 99%

Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators

Luqman

Shahzadi

2023

Granul. Comput.

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“…[16] proposed an integrated MULTIMOORA method combined with 2-tuple linguistic FFSs and illustrated the application of proposed method in selection of urban quality of life. Shahzadi et al [17] applied MOORA method under FF information in the selection of intelligent manufacturing system (IMS). In the context of IVFFSs, generalization of capital budgeting techniques under IVFFSs was proposed by Sergi et al [18].…”

Section: Interval-valued Fermatean Fuzzy Setsmentioning

confidence: 99%

A case study of electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators

Luqman

Shahzadi²

2022

Preprint

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The utilization of electrical and electronics equipments (EEEs) in waste recycling has become a paramount for various countries. The waste electrical and electronics equipment (WEEE) recy-clers own a crucial position in the environmental growth of a country as they help to minimize the carbon emissions during the recycling of WEEE in most ecofriendly way. Therefore, the selection and assessment of an appropriate WEEE recycling partner has become a most important part of DM (decision-making) applications. The collusion of numerous quantitative and qualitative factors makes the recycling partner selection problem, a multifaced and significant decision for the managerial experts. The main objective of this work is to propose MADM (multi-attribute decision-making) techniques to evaluate the WEEE recycling partners under interval-valued Fermatean fuzzy (IVFF) information. In this regard, certain Hamacher AOs (aggregation operators) are proposed in order to develop the required DM method. These AOs include Hamacher ordered, weighted geometric, ordered weighted geometric, generalized Einstein weighted, generalized Einstein ordered weighted, generalized Einstein weighted geometric, etc. Then, these averaging operators are utilized to come up with a MADM techniques under IVFF environment. Furthermore, the constructed technique is applied to a case study in China in order to incorporate with the e-waste recycling partner selection problem. Moreover, a brief comparison of the proposed with is presented with various existing techniques to manifest the productivity and coherence of the proposed model. Finally, the accuracy and consistency of results shows that the proposed technique is fully compatible and applicable in order to handle any MADM problem.

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“…Using a brand-new MAGDM method, Shahzadi and Akram [33] presented a technique for choosing an antivirus mask in an FF soft environment. Shahzadi et al [34] chose an IMS using the MOORA approach and FF data. A brand-new "MULTIMOORA" technique was presented as a solution to MADM problems in Rani and Mishra's [28] investigation of Einstein operators under FF environmental.…”

Section: Introductionmentioning

confidence: 99%

A new $$(p; q)-$$ rung orthopair fuzzy SIR method with a multi-criteria decision-making approach

Shahzadi,

Luqman,

Shahzadi

et al. 2024

Granul. Comput.

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In comparison to Fermatean, Pythagorean, and intuitionistic fuzzy sets, (p, q)−rung orthopair fuzzy sets have a wider range of displaying membership grades and can therefore provide with more confusing situations. The accuracy of (p, q)−rung orthopair fuzzy numbers is investigated using sine trigonometric functions. First, the (p, q)−rung orthopair fuzzy data are extended to the sine trigonometric operational laws (STOLs). In order to aggregate the (p, q)−rung orthopair fuzzy data, a number of additional aggregation operators are offered, based on the STOLs that are put forth. We also go over some of the features of these aggregation operators and examine how the various operators relate to one another. These operators are also used to create a mechanism for multi-attribute decision-making for (p, q)−rung orthopair fuzzy numbers. A variation of the well-known PROMETHEE approach that can be more effective in handling multi-attribute decision-making problems (MADM) is the superiority and inferiority ranking (SIR) method. In this study, we suggest a novel (p, q)−rung orthopair fuzzy SIR approach to address the uncertainty group MADM problem. This strategy handles unclear information, incorporates individual perspectives into group viewpoints, makes conclusions based on many criteria, and ultimately structures a specific decision map. The suggested method is demonstrated in a simulation of a situation involving group decision-making and the choice of the best journal.

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The Extended MOORA Method Based on Fermatean Fuzzy Information

Cited by 8 publications

References 55 publications

Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators

Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators

A case study of electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators

A new $$(p; q)-$$ rung orthopair fuzzy SIR method with a multi-criteria decision-making approach

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