A novel Z-soft rough fuzzy $$\textit{BCI}$$BCI-algebras (ideals) of $$\textit{BCI}$$BCI-algebras
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2816-z
Abstract: In this paper, the notion of Z-soft rough fuzzy BCI-algebras (ideals) is introduced, which is an extended notion of soft rough BCI-algebras (ideals) and rough fuzzy BCI-algebras (ideals). In this paper, we first apply Z-soft… read more here.
Keywords: bci algebras; soft rough; textit bci; rough fuzzy ... See more keywords
Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA
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DOI: 10.1016/j.renene.2020.11.051
Abstract: Abstract This study is aiming to propose a framework integrating new criteria system, rough-fuzzy best-worst method (BWM) and rough-fuzzy data envelopment analysis (DEA) for evaluation and selection of sustainable hydrogen production technologies (HPTs) with hybrid… read more here.
Keywords: sustainability; dea; hydrogen production; rough fuzzy ... See more keywords
Rough-Fuzzy-GA-based design of Al alloys having superior cryogenic performance
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DOI: 10.1080/10426914.2017.1303148
Abstract: ABSTRACT Multi-objective genetic algorithm (GA) is employed for the optimal design of novel heat-treatable aluminum alloys with superior performance at cryogenic temperatures. Existing database on age-hardenable aluminum alloys is utilized to create a learning model.… read more here.
Keywords: alloys superior; design alloys; rough fuzzy; performance ... See more keywords
A Computational Deep Fuzzy Network-Based Neuroimaging Analysis for Brain Hemorrhage Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3270492
Abstract: The boundaries and regions between individual classes in biomedical image classification are hazy and overlapping. These overlapping features make predicting the correct classification result for biomedical imaging data a difficult diagnostic task. Thus, in precise… read more here.
Keywords: classification; computational deep; fuzzy; rough fuzzy ... See more keywords
Multiresolution-Based Rough Fuzzy Possibilistic -Means Clustering Method for Land Cover Change Detection
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DOI: 10.1109/jstars.2022.3228261
Abstract: Object-oriented change detection (OOCD) plays an important role in remote sensing change detection. Generally, most of current OOCD methods adopt the highest predicted probability to determine whether objects have changes. However, it ignores the fact… read more here.
Keywords: change detection; multiresolution; change; rough fuzzy ... See more keywords
On Three Types of Soft Rough Covering-Based Fuzzy Sets
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DOI: 10.1155/2021/6677298
Abstract: Recently, the concept of a soft rough fuzzy covering (briefly, SRFC) by means of soft neighborhoods was defined and their properties were studied by Zhan’s model. As a generalization of Zhan’s method and in order… read more here.
Keywords: soft rough; briefly srfc; three types; rough fuzzy ... See more keywords
Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem
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DOI: 10.3390/axioms12040345
Abstract: Class imbalance is a prevalent problem that not only reduces the performance of the machine learning techniques but also causes the lacking of the inherent complex characteristics of data. Though the researchers have proposed various… read more here.
Keywords: problem; class imbalance; synthetic data; class ... See more keywords
Characterizations of Γ Rings in Terms of Rough Fuzzy Ideals
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DOI: 10.3390/sym14081705
Abstract: Fuzzy sets are a major simplification and wing of classical sets. The extended concept of set theory is rough set (RS) theory. It is a formalistic theory based upon a foundational study of the logical… read more here.
Keywords: theory; set theory; characterizations rings; rings terms ... See more keywords