1
|
Han X, Zhan J. A sequential three-way decision-based group consensus method under probabilistic linguistic term sets. Inf Sci (N Y) 2023. [DOI: 10.1016/j.ins.2022.12.111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
|
2
|
A review of sequential three-way decision and multi-granularity learning. Int J Approx Reason 2022. [DOI: 10.1016/j.ijar.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
|
3
|
Jiang H, Hu BQ. On two new types of fuzzy rough sets via overlap functions and corresponding applications. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.11.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
4
|
Meng J, Zhu F, Ge Y, Zhao P. Integrating Safety Constraints into Adversarial Training for Robust Deep Reinforcement Learning. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.11.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
5
|
Xiao J, Zhang Q, Ai Z, Wang G. A fast neighborhood classifier based on hash bucket with application to medical diagnosis. Int J Approx Reason 2022. [DOI: 10.1016/j.ijar.2022.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
6
|
Superiority of three-way decisions from the perspective of probability. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10203-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
|
7
|
A Novel Sequential Three-Way Decision Model for Medical Diagnosis. Symmetry (Basel) 2022. [DOI: 10.3390/sym14051004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In the sequential three-way decision model (S3WD), conditional probability and decision threshold pair are two key elements affecting the classification results. The classical model calculates the conditional probability based on the strict equivalence relationship, which limits its application in reality. In addition, little research has studied the relationship between the threshold change and its cause at different granularity levels. To deal with these deficiencies, we propose a novel sequential three-way decision model and apply it to medical diagnosis. Firstly, we propose two methods of calculating conditional probability based on similarity relation, which satisfies the property of symmetry. Then, we construct an S3WD model for a medical information system and use three different kinds of cost functions as the basis for modifying the threshold pair at each level. Subsequently, the rule of the decision threshold pair change is explored. Furthermore, two algorithms used for implementing the proposed S3WD model are introduced. Finally, extensive experiments are carried out to validate the feasibility and effectiveness of the proposed model, and the results show that the model can achieve better classification performance.
Collapse
|
8
|
Chen W, Zhang Q, Dai Y. Sequential multi-class three-way decisions based on cost-sensitive learning. Int J Approx Reason 2022. [DOI: 10.1016/j.ijar.2022.03.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
9
|
Yang X, Chen Y, Fujita H, Liu D, Li T. Mixed data-driven sequential three-way decision via subjective–objective dynamic fusion. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2021.107728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
10
|
|
11
|
Wu C, Zhang Q, Cheng Y, Gao M, Wang G. Novel three-way generative classifier with weighted scoring distribution. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.08.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
|
12
|
Wu C, Zhang Q, Zhao F, Cheng Y, Wang G. Three-way recommendation model based on shadowed set with uncertainty invariance. Int J Approx Reason 2021. [DOI: 10.1016/j.ijar.2021.04.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
13
|
Zhang Q, Ai Z, Zhang J, Wang G. A novel fast constructing neighborhood covering algorithm for efficient classification. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|
14
|
Zhang Q, Zhi X, Dai Y, Wang G. Democratic three-way decisions based on voting mechanism. INT J MACH LEARN CYB 2021. [DOI: 10.1007/s13042-021-01367-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
15
|
Zhang Q, Huang Z, Wang G. A novel sequential three-way decision model with autonomous error correction. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2020.106526] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
16
|
Wen H, Xia F, Tang H. Three-way decision for incomplete real-valued data. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-201272] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
An information system (IS) is a database that expresses relationships between objects and attributes. An IS with decision attributes is said to be a decision information system (DIS). An incomplete real-valued decision information system (IRVDIS) is a DIS based on incomplete real-valued data. This paper studies three-way decision (3WD) for incomplete real-valued data and its application. In the first place, the distance between two objects on the basis of the conditional attribute set in an IRVDIS is constructed. In the next place, the fuzzy Tcos-equivalence relation on the object set of an IRVDIS is received by means of Gaussian kernel. After that, the decision-theoretic rough set model for an IRVDIS is presented. Furthermore, the 3WD method is proposed based on this model. Lastly, to illustrate the feasibility of the proposed method, an application of the proposed method is given. It is worth mentioning that levels of risk may be determined by thresholds that can be directly acquired according to risk preference of different decision-makers, as well as the decision rule for each decision class under different levels of risk is showed in tabular forms.
Collapse
Affiliation(s)
- Haili Wen
- Institute of Intellectual Property, Nanjing University of Science and Technology, Nanjing, Jiangsu, P.R. China
- Collaborative Innovation Center for Integration of Terrestrial & Marine Economies, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China
| | - Fei Xia
- Collaborative Innovation Center for Integration of Terrestrial & Marine Economies, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China
| | - Hongxiang Tang
- Collaborative Innovation Center for Integration of Terrestrial & Marine Economies, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China
| |
Collapse
|
17
|
|
18
|
Fuzzy entropies for class-specific and classification-based attribute reducts in three-way probabilistic rough set models. INT J MACH LEARN CYB 2020. [DOI: 10.1007/s13042-020-01179-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
|
19
|
Ma XA. A computational formulation of distribution reducts in probabilistic rough set models. Soft comput 2020. [DOI: 10.1007/s00500-020-04849-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
20
|
Jiang Z, Liu K, Yang X, Yu H, Fujita H, Qian Y. Accelerator for supervised neighborhood based attribute reduction. Int J Approx Reason 2020. [DOI: 10.1016/j.ijar.2019.12.013] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|