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Fermatean fuzzy power Bonferroni aggregation operators and their applications to multi-attribute decision-making
This paper focuses on the influence of support degree and weight between different attributes on the decision-making process. First, we analyze the...
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Bonferroni mean aggregation operators under q-rung linear diophantine fuzzy hypersoft set environment and its application in multi-attribute decision making
q-Rung linear diophantine fuzzy set is a significant extension of fuzzy set theory and soft set theory was widened into hypersoft set theory. In this...
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Aczel-Alsina power bonferroni aggregation operators for picture fuzzy information and decision analysis
Picture fuzzy set (PFS) is an expedient mathematical approach for interpreting imprecise and nebulous information, and the power Bonferroni mean...
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Interaction Power Bonferroni Mean Aggregation Operators Based on T-Spherical Fuzzy Information and Their Application in Multi-attribute Decision Making
T-spherical fuzzy (TSF) set is a suitable technique for depicting uncertain and vague information in real-life problems because it covered the truth,...
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Interval-valued q-rung orthopair fuzzy Aczel–Alsina operations-based Bonferroni mean aggregation operators and their applications
As an extension of interval-valued intuitionistic fuzzy sets, the concept of interval-valued q -rung orthopair fuzzy (IV q -ROF) sets (IV q -ROFSs)...
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Recycling of waste materials based on decision support system using picture fuzzy Dombi Bonferroni means
A picture fuzzy set (PFS) is the extended version of an intuitionistic fuzzy set (IFS) and can deal with dubious and imprecision information. Dombi...
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Concise representations and limiting cases of q-rung orthopair fuzzy Hamacher–Bonferroni mean aggregations
Operations on inputs are partially or completely decisive for information aggregation, and parameterized operations are widely used due to their...
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Pythagorean fuzzy aczel-alsina power bonferroni mean operators for multi-attribute decision-making
Pythagorean fuzzy set (PyFS) is an effective model to describe the vagueness and uncertainty of decision-makers. Several novel averaging aggregation...
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Hesitant Fermatean fuzzy Bonferroni mean operators for multi-attribute decision-making
Hesitant Fermatean fuzzy sets (HFFS) can characterize the membership degree (MD) and non-membership degree (NMD) of hesitant fuzzy elements in a...
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Analysis of medical diagnosis based on fuzzy credibility dombi Bonferroni mean operator
The main aim of this article is to present a novel hybridized idea of fuzzy Credibility Dombi Bonferroni mean aggregation operators to describe the...
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A new multi-attribute group decision-making method based on Einstein Bonferroni operators under interval-valued Fermatean hesitant fuzzy environment
Faced with the increasing complexity and uncertainty of decision-making information, interval-valued Fermatean hesitant fuzzy sets (IVFHFSs) were...
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Pythagorean Fuzzy Bonferroni Mean with Weighted Interaction Operator and Its Application in Fusion of Online Multidimensional Ratings
Aiming at the aggregation problem of online multi-attribute interactive ratings, a decision-making method based on Pythagorean Fuzzy Bonferroni mean...
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A novel approach based on neutrosophic Bonferroni mean operator of trapezoidal and triangular neutrosophic interval environments in multi-attribute group decision making
Neutrosophic multicriteria is a method of decision-making that uses indeterminacy to combine several criteria or elements, frequently with incomplete...
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Generalized Interval-Valued Intuitionistic Hesitant Fuzzy Power Bonferroni Means and Their Applications to Multicriteria Decision Making
In general, the information associated with real-life problems is ambiguous and imprecise, interval-valued intuitionistic hesitant fuzzy sets are an...
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Spherical Fuzzy Bonferroni Mean Aggregation Operators and Their Applications to Multiple-Attribute Decision Making
The Bonferroni Mean (BM) which was introduced by Bonferroni has been extensively applied in Multi-Attribute Group Decision-Making (MAGDM) and support...
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Identifying native endemic plant species in Nilgiris using the interval type 2 q-rung orthopair fuzzy Bonferroni mean operator
The Nilgiris biosphere reserve in the Western Ghats of South India is an International Biosphere Reserve. This paper focuses on the diversity of...
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Recent Applications of Pre-aggregation Functions
In recent years, a hot topic that has emerged is the concept of pre-aggregation functions. This kind of function respects the same property as an...
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Decision-making strategy based on Archimedean Bonferroni mean operators under complex Pythagorean fuzzy information
Decision-making is one of the most crucial processes to find the best optimal among the distinct attributes in an uncertain environment. However,...
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Multi-attribute Group Decision Making Through the Development of Dombi Bonferroni Mean Operators Using Dual Hesitant Pythagorean Fuzzy Data
Dual hesitant Pythagorean fuzzy set has been emerged as a successful fuzzy variant to deal with uncertain and vague information. Bonferroni mean...
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A Bonferroni mean considering Shapley fuzzy measure under hesitant bipolar-valued neutrosophic set environment for an investment decision
Bonferroni mean (BM) operators have been established as a powerful tool for handling the interrelationship between the input arguments under various...
