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Complex Cubic Fuzzy Einstein Averaging Aggregation Operators: Application to Decision-making Problems
Different complex fuzzy sets are reported in the literature as the generalizations of fuzzy sets. Complex cubic fuzzy sets are also among those...
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On some new aggregation operators for T-spherical fuzzy hypersoft sets with application in renewable energy sources
The process of decision-making in any knowledge-based system inherits a lot of uncertainty in the form of imprecise, incomplete, and inexact...
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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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A reliable method for data aggregation on the industrial internet of things using a hybrid optimization algorithm and density correlation degree
The Internet of Things (IoT) is a new information technology sector in which each device may receive and distribute data across a network. Industrial...
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Some new hybrid hesitant fuzzy weighted aggregation operators based on Archimedean and Dombi operations for multi-attribute decision making
Hesitant fuzzy set (HFS) is more flexible and general tool in comparison to fuzzy set theory. There is not yet reported an aggregation operator (AO)...
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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... -
Algorithm for T-spherical fuzzy MADM based on associated immediate probability interactive geometric aggregation operators
The purpose of writing this manuscript is to point out some limitations of existing associated immediate probability intuitionistic fuzzy geometric...
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An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques
This paper intends to propose a multi-attribute group decision making (MAGDM) methodology based on MULTIMOORA under IFS theory for application in the...
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C-volution: A Hybrid Operator for Visual Recognition
Convolution is a fundamental building block of modern neural networks, playing a critical role in the success of deep learning for vision tasks.... -
Multiple-Criteria Rating Recommendation with Ordered Weighted Averaging Aggregation Operators
In recent years, the Fourth Industrial Revolution in Industry 4.0 has exploded, along with the increasing development of websites, social networks,... -
A new hybrid information fusion method for trajectory prediction
Pedestrian trajectory prediction has numerous applications in various fields, such as autonomous driving, advanced video surveillance, etc. The...
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Development of Heronian Mean-Based Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making
Interval-valued dual hesitant \(q\) -rung orthopair fuzzy (IVDH... -
Energy load forecasting: one-step ahead hybrid model utilizing ensembling
In the light of the adverse effects of climate change, data analysis and Machine Learning (ML) techniques can provide accurate forecasts, which...
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Survey of window types for aggregation in stream processing systems
In this paper, we present the first comprehensive survey of window types for stream processing systems which have been presented in research and...
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Large-Scale Rank Aggregation from Multiple Data Sources Based D3MOPSO Method
Aggregating the search result from multiple data sources is a challenging problem in the metasearch engines. However, the ordinary methods do not... -
Interval Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle
In this chapter, the notion of interval complex q-rung orthopair fuzzy sets (IVC q-ROFSs) and its related interval complex q-rung orthopair fuzzy... -
A survey on hybrid transactional and analytical processing
To provide applications with the ability to analyze fresh data and eliminate the time-consuming ETL workflow, hybrid transactional and analytical...
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Multiple attributes group decision-making based on trigonometric operators, particle swarm optimization and complex intuitionistic fuzzy values
This paper describes a novel multi-attribute group decision-making (MAGDM) algorithm based on complex intuitionistic fuzzy values (CIFVs). The...
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Neuro-Fuzzy Integration in Hybrid Intelligent Systems
In the last fifteen years, hybrid neural systems have drawn increasing research interest. This approach has been successfully used in various areas,... -
MMDBench: A Benchmark for Hybrid Query in Multimodal Database
Multimodal data, integrating various types of data like images, text, audio, and video, has become prevalent in the era of big data. However, there...