Approach to Multiattribute Decision-Making Problems Based on Neutrality Aggregation Operators of Picture Fuzzy Information

Javed, Mubashar; Javeed, Shumaila; Younis, Jihad; Ullah, Kifayat; Zedam, Lemnaouar

doi:10.1155/2022/2762067

Cited by 10 publications

(6 citation statements)

References 55 publications

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“…In the future, our goal would be to review various notions like the bipolar complex fuzzy soft set (SS) (Mahmood et al, 2022c), Pythagorean FS (Li et al, 2022), picture FS (Ullah, 2021), picture fuzzy SSs (Khan et al, 2019), T-spherical FS (Javed et al, 2022), complex bipolar intuitionistic FS (Jan et al, 2022), enhancing digital innovation for the sustainable transformation of manufacturing industry (Yin et al, 2022) and try to employ the introduced work in these notions.…”

Section: Discussionmentioning

confidence: 99%

Analyzing the effect of different types of pollution with bipolar complex fuzzy power Bonferroni mean operators

Yang

Mahmood

Rehman

2022

Front. Environ. Sci.

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When any amount of harmful materials (any substance or any type of energy) is introduced into the climate at a rate quicker than it very well may be scattered or securely put away, then pollution occurs. These harmful materials are known as pollutants which can be natural and can also be manmade such as trash generated by factories. These harmful materials harm the quality of land, air, and water and cause various types of pollution, which affects the environment. In this article, we analyze the effect of various types of pollution on the environment and evaluate the most harmful type of pollution through an illustrative example by employing power Bonferroni mean (BM) operators in the setting of the bipolar complex fuzzy set (BCFS), like bipolar complex fuzzy (BCF) power BM (BCFPBM), BCF weighted power BM (BCFWPBM), BCF power geometric BM (BCFPGBM), and BCF weighted power geometric BM (BCFWPGBM) operators and a decision-making (DM) procedure created on these operators in the environment of the BCFS which are introduced in this article. Furthermore, we illustrate that the introduced operators and a DM procedure in the environment of the BCFS are more effective and have a wide model and advantages than certain prevailing works.

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Section: Discussionmentioning

confidence: 99%

Analyzing the effect of different types of pollution with bipolar complex fuzzy power Bonferroni mean operators

Yang

Mahmood

Rehman

2022

Front. Environ. Sci.

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“…It has been observed that the AOs designed for different fuzzy structures fail to address issues expressed as SFNs. In order to assess the efficacy of our proposed method and make comparisons with other existing techniques cited in the literature [32], [40], [42], [45], [48]- [50], we perform a comprehensive analysis of validity and comparison utilizing NAOs. In this analysis, we utilize several other aggregating methods and ranking tools, such as the spherical fuzzy weighted averaging (SFWA) operator [27], spherical fuzzy weighted geometric (SFWG) operator [27], spherical fuzzy weighted Dombi averaging (SFWDA) operator [29], spherical fuzzy weighted Dombi geometric (SFWDG) operator [29].…”

Section: Verification and Comparative Analysismentioning

confidence: 99%

An Approach to Multi-Attribute Decision-Making for Olive Trees Plantation Site Selection Using Spherical Fuzzy Neutrality Aggregation Operators

Javed,

Javeed,

Ullah

et al. 2023

IEEE Access

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We introduce the concept of spherical fuzzy neutral aggregation operators by utilizing neutral addition and scalar multiplication operational laws. Spherical fuzzy set (SFS) is an effective tool for handling cognitive uncertainty in decision-making (DMg), and neutral operations are particularly useful for capturing the biased preferences of decision-makers (DMs). In this context, the primary aim of this study is to innovate novel operational laws and their associated aggregation operators. Therefore, the main contribution of this manuscript is the development of several neutral aggregation operators (NAOs) based on SFS, including the spherical fuzzy weighted neutral aggregation (SFWNA) operator, the spherical fuzzy ordered weighted neutral aggregation (SFOWNA) operator, and the spherical fuzzy hybrid neutral aggregation (SFHNA) operator. These NAOs are specifically designed for the multi-attribute group decision-making (MAGDM) algorithm. In order to showcase the efficacy of the proposed algorithm, we implemented it in the context of selecting a suitable site for an olive tree plantation in the Punjab province of Pakistan. The algorithm successfully evaluated various plantation locations (alternatives) based on the considered criteria. The results illustrate the flexibility, consideration of the interaction of coefficients, desirable characteristics, applicability to MAGDM, and effectiveness of the proposed AOs and DMg scheme. These outcomes provide valuable insights into the advantages and potential impact of this novel approach in addressing real-world problems within a fuzzy environment. Finally, the obtained results were compared with several existing techniques, confirming that the suggested method produces valid and reliable outcomes.INDEX TERMS Spherical fuzzy sets; Neutrality laws; Aggregation operators; multi-attribute group decisionmaking problems. I.

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“…Further, Liu et al [37] developed the similarity measures for inter-valued picture fuzzy sets to solve decision-making problems. Javed et al [38] devised the novel neutrality aggregation operators which are very useful to solve the MCDM problems. In order to deal with such circumstances, we propose to introduce a new concept of picture fuzzy hypersoft matrices (PFHSM) which would certainly improve the enumerating power and variability of the available information.…”

Section: Renewable Energy Source Descriptions and Literature Reviewmentioning

confidence: 99%

On Renewable Energy Source Selection Methodologies Utilizing Picture Fuzzy Hypersoft Information with Choice and Value Matrices

Dhumras

Bajaj

2022

Scientia Iranica

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In a decision-making problem, the uncertainty component of refusal and abstain along with the sub-parametrization features in the information are not catered by intuitionistic fuzzy/Pythagorean fuzzy sets. In the present communication, we first introduce the novel notion of picture fuzzy hypersoft matrix along with various important binary operations and properties. The inclusion of the novel notion of picture fuzzy hypersoft matrices allows the decision makers to define their preference in a more general sub-parameterized linguistic form for the evaluation of available alternatives. The proposition concentrates on presenting a robust decision-making framework for identifying the optimal and most suitable renewable energy source. In this regard, the revised definition of picture fuzzy hypersoft choice matrix/weighted choice matrix (PFHSCM/PFHSWCM), value matrix, and total score matrix have been presented. Further, two algorithms of decision-making for the selection of the best renewable energy sources have been provided along with appropriate illustrations and ranking descriptions.

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Approach to Multiattribute Decision-Making Problems Based on Neutrality Aggregation Operators of Picture Fuzzy Information

Cited by 10 publications

References 55 publications

Analyzing the effect of different types of pollution with bipolar complex fuzzy power Bonferroni mean operators

Analyzing the effect of different types of pollution with bipolar complex fuzzy power Bonferroni mean operators

An Approach to Multi-Attribute Decision-Making for Olive Trees Plantation Site Selection Using Spherical Fuzzy Neutrality Aggregation Operators

On Renewable Energy Source Selection Methodologies Utilizing Picture Fuzzy Hypersoft Information with Choice and Value Matrices

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