Yuejin Tan

dblp:29/1300 · DBLP profile ↗
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10ranked-venue papers in the field
0as first author
9since 2021 · last 2025
ORCID · none

Domains — venue-derived; a paper can count in several

Other / Interdisciplinary · 6Knowledge Engineering, Semantic Web & Information Systems · 3Information Retrieval & Web Search · 1
YearPublicationVenuePosition
2025 A multi-view contrastive embedding framework for filtering fuzzy requirements of complex products
Yufeng Ma, Yajie Dou, Anastasia Dimou, Xuemin Duan, Yuejin Tan
Adv. Eng. Informatics6
2024 Multicriteria requirement ranking based on uncertain knowledge representation and reasoning
Yufeng Ma, Yajie Dou, Xiangqian Xu, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics6
2024 Requirements prioritization for complex products based on fuzzy associative predicate representation learning
Yufeng Ma, Yajie Dou, Xiangqian Xu, Yuejin Tan, Ke-Wei Yang 0001
Adv. Eng. Informatics4
2024 A product requirement influence analysis method based on multilayer dynamic heterogeneous networks
Xiangqian Xu, Yajie Dou, Weijun Ouyang, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics6
2024 Non-autoregressive personalized bundle generation
Wenchuan Yang, Cheng Yang 0002, Jichao Li 0001, Yuejin Tan, Xin Lu 0002, Chuan Shi 0001
Inf. Process. Manag.4
2024 Integrating adaptive fuzzy embedding with topology and property hypergraphs: Enhancing membership degree-aware knowledge graph reasoning
Yufeng Ma, Yajie Dou, Xiangqian Xu, Yuejin Tan, Ke-Wei Yang 0001
Inf. Sci.4
2023 A product requirement development method based on multi-layer heterogeneous networks
Xiangqian Xu, Yajie Dou, Weijun Ouyang, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics6
2023 Quality improvement method for high-end equipment's functional requirements based on user stories
abstract
Aiming at problems such as incomplete, inconsistent, and inaccurate requirements that often occur in the process of obtaining high-end equipment functional requirements, this paper presents a requirement quality improvement method. Referring to the agile development theory of requirements engineering, the quality improvement method constructs a functional requirement model based on user stories, defines the concept of functional requirement quality, designs functional requirement quality evaluation criteria, and constructs a functional requirement quality evaluation process. A case study and sensitivity analysis of new energy vehicle requirement development are conducted to confirm the feasibility and effectiveness of the method, and the experimental results show the superiority of the proposed method in improving the quality of high-end equipment functional requirements.
Xiangqian Xu, Yajie Dou, Liwei Qian, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics6
2023 Measurement and optimization of rule consistency in a belief rule base system
Yaqian You, Ruirui Zhao, Yuejin Tan, Jiang Jiang 0001
Inf. Sci.4
2018 BRBcast: A new approach to belief rule-based system parameter learning via extended causal strength logic
Jimmy Huang 0001, Leilei Chang 0001, Jiang Jiang 0001, Yuejin Tan
Inf. Sci.5