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Optimization method of conditioning factors selection and combination for landslide susceptibility prediction: 《Journal of Rock Mechanics and Geotechnical Engineering》2025年第2期722-746,共25页Faming Huang Keji Liu Shuihua Jiang Filippo Catani Weiping Liu Xuanmei Fan Jinsong Huang; funded by the Natural Science Foundation of China(Grant Nos.42377164 and 41972280);the Badong National Observation and Research Station of Geohazards(Grant No.BNORSG-202305).; Landslide susceptibility prediction(LSP)is significantly affected by the uncertainty issue of landslide related conditioning factor selection.However,most of literature only performs comparative studies on a certain c...; 关键词：Landslide susceptibility prediction Conditioning factors selection Support vector machine Random forest Rough set Artificial neural network

Attribute Reduction on Decision Tables Based on Hausdorff Topology: 《Computers, Materials & Continua》2024年第11期3097-3124,共28页Nguyen Long Giang Tran Thanh Dai Le Hoang Son Tran Thi Ngan Nguyen Nhu Son Cu Nguyen Giap; funded by Vietnam National Foundation for Science and Technology Development(NAFOSTED)under Grant Number 102.05-2021.10.; Attribute reduction through the combined approach of Rough Sets(RS)and algebraic topology is an open research topic with significant potential for applications.Several research works have introduced a strong relations...; 关键词：Hausdorff topology rough sets topology from rough sets attribute reduction

Multi-granularity feature enhancement network for maritime ship detection: 《CAAI Transactions on Intelligence Technology》2024年第3期649-664,共16页Li Ying Duoqian Miao Zhifei Zhang Hongyun Zhang Witold Pedrycz; National Key Research and Development Program of China,Grant/Award Number:2022YFB3104700;National Natural Science Foundation of China,Grant/Award Numbers:62376198,61906137,62076040,62076182,62163016,62006172;The China National Scientific Sea‐floor Observatory,The Natural Science Foundation of Shanghai,Grant/Award Number:22ZR1466700;The Jiangxi Provincial Natural Science Fund,Grant/Award Number:20212ACB202001。; Due to the characteristics of high resolution and rich texture information,visible light images are widely used for maritime ship detection.However,these images are suscep-tible to sea fog and ships of different sizes...; 关键词：object classification object recognition rough sets rough set theory

A clinical decision support system using rough set theory and machine learning for disease prediction: 《Intelligent Medicine》2024年第3期200-208,共9页Kamakhya Narain Singh Jibendu Kumar Mantri; Objective Technological advances have led to drastic changes in daily life,and particularly healthcare,while traditional diagnosis methods are being replaced by technology-oriented models and paper-based patient healt...; 关键词：Clinical decision support system Disease classification Machine learning classifier Medical data RECOMMENDATION Rough set

Two kinds of average approximation accuracy被引量：1: 《CAAI Transactions on Intelligence Technology》2024年第2期481-490,共10页Qingzhao Kong Wanting Wang Dongxiao Zhang Wenbin Zhang; National Natural Science Foundation of China,Grant/Award Number:61976254;Natural Science Foundation of Fujian Province,Grant/Award Numbers:2020J01707,2020J01710。; Rough set theory places great importance on approximation accuracy,which is used to gauge how well a rough set model describes a target concept.However,traditional approximation accuracy has limitations since it varie...; 关键词：rough sets rough set theory

Multi-Granularity Neighborhood Fuzzy Rough Set Model on Two Universes: 《Journal of Intelligent Learning Systems and Applications》2024年第2期91-106,共16页Ju Wang Xinghu Ai Li Fu; The two universes multi-granularity fuzzy rough set model is an effective tool for handling uncertainty problems between two domains with the help of binary fuzzy relations. This article applies the idea of neighborho...; 关键词：Fuzzy Set Two Universes Multi-Granularity Rough Set Multi-Granularity Neighborhood Fuzzy Rough Set

Complex Decision Modeling Framework with Fairly Operators and Quaternion Numbers under Intuitionistic Fuzzy Rough Context: 《Computer Modeling in Engineering & Sciences》2024年第5期1893-1932,共40页Nadeem Salamat Muhammad Kamran Shahzaib Ashraf Manal Elzain Mohammed Abdulla Rashad Ismail Mohammed M.Al-Shamiri; funded by King Khalid University through a large group research project under Grant Number R.G.P.2/449/44.; The main goal of informal computing is to overcome the limitations of hypersensitivity to defects and uncertainty while maintaining a balance between high accuracy,accessibility,and cost-effectiveness.This paper inves...; 关键词：Intuitionistic fuzzy set quaternion numbers fuzzy logic DECISION-MAKING rough set

On Multi-Granulation Rough Sets with Its Applications: 《Computers, Materials & Continua》2024年第4期1025-1038,共14页Radwan Abu-Gdairi R.Mareay M.Badr; Recently,much interest has been given tomulti-granulation rough sets (MGRS), and various types ofMGRSmodelshave been developed from different viewpoints. In this paper, we introduce two techniques for the classificati...; 关键词：Multi-granulation rough sets data classifications information systems interior operators closure operators approximation structures

Approximation Maintenance When Adding a Conditional Value in Set-Valued Ordered Decision Systems: 《Open Journal of Applied Sciences》2024年第2期411-424,共14页Xiaoyu Wang Yuebin Su; The integration of set-valued ordered rough set models and incremental learning signify a progressive advancement of conventional rough set theory, with the objective of tackling the heterogeneity and ongoing transfor...; 关键词：Information Systems Rough Set Attribute Value Incremental Method

A Neighborhood Rough Set Attribute Reduction Method Based on Attribute Importance: 《American Journal of Computational Mathematics》2023年第4期578-593,共16页Peiyu Su Feng Qin Fu Li; Attribute reduction is a hot topic in rough set research. As an extension of rough sets, neighborhood rough sets can effectively solve the problem of information loss after data discretization. However, traditional gr...; 关键词：Rough Sets Attribute Importance Attribute Reduction

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