4.7 Article

A sequential three-way classification model based on risk preference and decision correction

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Mixed data-driven sequential three-way decision via fusion

Xin Yang et al.

Summary: In this paper, a novel framework of sequential three-way decision for the fusion of mixed data from the subjective and objective dynamic perspectives is explored. The proposed models achieve lower decision cost and acceptable accuracy, as demonstrated by comparative experiments.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Quantum Science & Technology

Quantum k-means algorithm based on Manhattan distance

Zhihao Wu et al.

Summary: The traditional k-means algorithm is not applicable in certain scenarios, so we propose a quantum k-means algorithm based on Manhattan distance (QKMM). Our algorithm has wide applications and reduces complexity compared to other quantum k-means algorithms.

QUANTUM INFORMATION PROCESSING (2022)

Article Engineering, Mechanical

Enriching stochastic model updating metrics: An efficient Bayesian approach using Bray-Curtis distance and an adaptive binning algorithm

Wenhua Zhao et al.

Summary: This paper investigates the use of Bray-Curtis distance and Bayesian approach in stochastic model updating, proposing an algorithm to handle datasets with multiple outliers. The effectiveness of the method is verified through numerical cases.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Article Multidisciplinary Sciences

A Novel Sequential Three-Way Decision Model for Medical Diagnosis

Junhua Hu et al.

Summary: This study proposed a novel sequential three-way decision model based on similarity relation for calculating conditional probability, applied in medical diagnosis, and validated its effectiveness through experiments.

SYMMETRY-BASEL (2022)

Article Computer Science, Artificial Intelligence

A Novel Three-Way Decision Model Based on Utility Theory in Incomplete Fuzzy Decision Systems

Jianming Zhan et al.

Summary: The article explores how to handle incomplete multiattribute decision-making problems in incomplete fuzzy decision systems. It introduces an effective three-way MADM model and applies it to the modeling of real-life incomplete multiattribute decision-making problems.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Feature selection based on robust fuzzy rough sets using kernel-based similarity and relative classification uncertainty measures

Pei Liang et al.

Summary: The current research on fuzzy rough sets for feature selection faces two major problems: the difficulty in evaluating the importance of feature subsets accurately in high-dimensional data space due to the use of multiple intersection operations of fuzzy relations, and the sensitivity to noisy information in the classical fuzzy rough sets model. To address these issues, this study proposes a radial basis function kernel-based similarity measure and introduces a relative classification uncertainty measure to improve the robustness of the fuzzy rough sets model.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

A novel sequential three-way decision model with autonomous error correction

Qinghua Zhang et al.

Summary: This paper introduces a new sequential three-way decision model with autonomous error correction to reduce error classification rate by subdividing granules. Experimental results show that the proposed model outperforms traditional models in terms of accuracy.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Computer Science, Information Systems

A decision-theoretic fuzzy rough set in hesitant fuzzy information systems and its application in multi-attribute decision-making

Haibo Jiang et al.

Summary: Decision-theoretic rough sets (DTRS) have been widely used in risk decision-making as a classic model of three-way decisions. In this paper, we propose a decision-theoretic fuzzy rough set (DTFRS) model in hesitant fuzzy information systems and discuss its application in multi-attribute decision-making (MADM). The established method not only considers decision risk, but also provides instructions on how to choose actions for each alternative and gives corresponding semantic explanations.

INFORMATION SCIENCES (2021)

Article Computer Science, Artificial Intelligence

Multi-attribute three-way decisions based on ideal solutions under interval-valued intuitionistic fuzzy environment

Fan Jia et al.

Summary: This study extends the MA3WD to interval-valued intuitionistic fuzzy environment, providing a more flexible and general model to handle uncertain MADM problems. The IVIF3WD model is proposed by introducing ideal solutions to construct an ideal-solution based three-way decision model, along with two multi-attribute IVIF3WD models.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2021)

Article Computer Science, Artificial Intelligence

An interpretable sequential three-way recommendation based on collaborative topic regression

Xiaoqing Ye et al.

Summary: This paper proposes a novel interpretable sequential three-way recommendation strategy, CTR-based cost-sensitive sequential three-way recommendation (CTR-CS3WR), to achieve multilevel recommendation by introducing collaborative topic regression (CTR) and designing three novel granulation methods. Extensive experiments on two CiteUlike datasets confirm the effectiveness of the proposed strategy.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Information Systems

Three-way multi-attribute decision making under hesitant fuzzy environments

Jiajia Wang et al.

Summary: This paper introduces the use of hesitant fuzzy and three-way decision methods in decision making to address difficulties in evaluating alternative solutions and reducing decision risks. The effectiveness and rationality of the proposed method are verified through experiments, and comparative analysis with existing HF MADM methods is provided.

INFORMATION SCIENCES (2021)

Article Computer Science, Information Systems

The effectiveness of three-way classification with interpretable perspective

Dun Liu

Summary: Three-way decision (3WD) has rapidly developed as a typical methodology to deal with uncertain issues in the past decade. Three-way classification, as an important research field of 3WD, has been shown to effectively solve classification problems, with experimental results validating its effectiveness.

INFORMATION SCIENCES (2021)

Article Computer Science, Information Systems

A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems

Jiang Deng et al.

Summary: This paper introduces the application of three-way decision (3WD) in a multi-scale decision information system (MS-DIS) to solve multi-attribute decision-making problems using fuzzy membership functions and distance-based cost measurement. The effectiveness of the proposed method is demonstrated through a specific numerical example and experimental analysis.

INFORMATION SCIENCES (2021)

Article Computer Science, Information Systems

Credit scoring using three-way decisions with probabilistic rough sets

Sebastian Maldonado et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Sequential three-way decision based on multi-granular autoencoder features

Libo Zhang et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Sequential three-way decisions via multi-granularity

Jin Qian et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Granularity-driven sequential three-way decisions: A cost-sensitive approach to classification

Yu Fang et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

On modeling similarity and three-way decision under incomplete information in rough set theory

Junfang Luo et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

A novel sequential three-way decisions model based on penalty function

Qinghua Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Tag recommendation by text classification with attention-based capsule network

Kai Lei et al.

NEUROCOMPUTING (2020)

Article Computer Science, Interdisciplinary Applications

Preference degree-based multi-granularity sequential three-way group conflict decisions approach to the integration of TCM and Western medicine

Xiaoli Chu et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Article Computer Science, Information Systems

A three-way decision model based on cumulative prospect theory

Tianxing Wang et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Three sequential multi-class three-way decision models

Yi Xu et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

Euclidean distance based feature ranking and subset selection for bearing fault diagnosis

Sachin P. Patel et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Information Systems

A multilevel neighborhood sequential decision approach of three-way granular computing

Xin Yang et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

BWM and MULTIMOORA-based multigranulation sequential three-way decision model for multi-attribute group decision-making problem

Ying Wang et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2020)

Article Computer Science, Artificial Intelligence

Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets

Jie Yang et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Article Computer Science, Interdisciplinary Applications

Manhattan Distance-Based Adaptive 3D Transform-Domain Collaborative Filtering for Laser Speckle Imaging of Blood Flow

Weimin Cheng et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)

Article Computer Science, Artificial Intelligence

Minkowski-type distance measures for generalized orthopair fuzzy sets

Wen Sheng Du

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Cost-sensitive sequential three-way decision modeling using a deep neural network

Huaxiong Li et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2017)

Article Computer Science, Artificial Intelligence

Three-way decision support for diagnosis on focal liver lesions

Yufei Chen et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Three-way recommender systems based on random forests

Heng-Ru Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Sequential three-way decision and granulation for cost-sensitive face recognition

Huaxiong Li et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Cost-sensitive three-way email spam filtering

Bing Zhou et al.

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2014)

Article Computer Science, Information Systems

The superiority of three-way decisions in probabilistic rough set models

Yiyu Yao

INFORMATION SCIENCES (2011)

Article Computer Science, Information Systems

Three-way decisions with probabilistic rough sets

Yiyu Yao

INFORMATION SCIENCES (2010)