Novel three-way generative classifier with weighted scoring distribution

Wu, Chengying; Zhang, Qinghua; Cheng, Yunlong; Gao, Mao; Wang, Guoyin

doi:10.1016/j.ins.2021.08.025

Cited by 12 publications

(2 citation statements)

References 64 publications

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“… 2020 ), three-way classification (Wu et al. 2021 ), and three-way spaces (Hu 2014 ). These approaches provide further expansion and extension of 3WD from diverse perspectives.…”

Section: A Systematic Review Of 3wdmentioning

confidence: 99%

“…Combining feature selection, the Naive Bayes algorithm and 3WD can better address complex issues such as uncertain probability distributions and correlations between features, thereby obtaining more accurate results in classification tasks (Wu et al. 2021 ). This combination optimizes model performance, reduces computational complexity, and improves classification efficiency.…”

Section: Challenges and Future Research Directionsmentioning

confidence: 99%

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Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges

Ding,

Zhang,

et al. 2024

Artif Intell Rev

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Enhancing decision-making under risks is crucial in various fields, and three-way decision (3WD) methods have been extensively utilized and proven to be effective in numerous scenarios. However, traditional methods may not be sufficient when addressing intricate decision-making scenarios characterized by uncertain and ambiguous information. In response to this challenge, the generalized intuitionistic fuzzy set (IFS) theory extends the conventional fuzzy set theory by introducing two pivotal concepts, i.e., membership degrees and non-membership degrees. These concepts offer a more comprehensive means of portraying the relationship between elements and fuzzy concepts, thereby boosting the ability to model complex problems. The generalized IFS theory brings about heightened flexibility and precision in problem-solving, allowing for a more thorough and accurate description of intricate phenomena. Consequently, the generalized IFS theory emerges as a more refined tool for articulating fuzzy phenomena. The paper offers a thorough review of the research advancements made in 3WD methods within the context of generalized intuitionistic fuzzy (IF) environments. First, the paper summarizes fundamental aspects of 3WD methods and the IFS theory. Second, the paper discusses the latest development trends, including the application of these methods in new fields and the development of new hybrid methods. Furthermore, the paper analyzes the strengths and weaknesses of research methods employed in recent years. While these methods have yielded impressive outcomes in decision-making, there are still some limitations and challenges that need to be addressed. Finally, the paper proposes key challenges and future research directions. Overall, the paper offers a comprehensive and insightful review of the latest research progress on 3WD methods in generalized IF environments, which can provide guidance for scholars and engineers in the intelligent decision-making field with situations characterized by various uncertainties.

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“… 2020 ), three-way classification (Wu et al. 2021 ), and three-way spaces (Hu 2014 ). These approaches provide further expansion and extension of 3WD from diverse perspectives.…”

Section: A Systematic Review Of 3wdmentioning

confidence: 99%

Section: Challenges and Future Research Directionsmentioning

confidence: 99%