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Matrix-based multi-granulation fusion approach for dynamic updating of knowledge in multi-source information

KNOWLEDGE-BASED SYSTEMS 2023年第1期262卷

作者： Zhang, Xiaoyan Huang, Xudong Xu, Weihua Southwest Univ Coll Artificial Intelligence Chongqing 400715 Peoples R China

Multisource information fusion is an important big data technology that plays a crucial role in the fields of data mining and knowledge discovery. Multigranulation information fusion is an effective technique for obtaining critical information from multisource data. However, obtaining meaningful information from a dynamic multisource information system using a multigranulation fusion strategy has rarely been researched. Therefore, this study explores a matrix-based dynamic updating strategy for multigranulation fusion operators. First, a matrix-based method for computing multigranular fusion operators is proposed. Second, the matrix-based dynamic updating mechanism of the multigranularity fusion operator is discussed and constructed for four cases (deleting objects, adding objects, deleting sources, and adding sources). Finally, four groups of dynamic algorithms and static methods are compared to verify the effectiveness of the dynamic algorithm. The experimental findings show that the matrix-dynamic updating multigranulation fusion operator approach is effective and efficient. (c) 2023 Elsevier B.V. All rights reserved.

关键词： Fixed aggregation operator Matrix Multi-source information system possible aggregation operator

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Multi-granulation method for information fusion in multi-source decision information system

引用

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2020年 122卷 47-65页

作者： Yang, Lei Xu, Weihua Zhang, Xiaoyan Sang, Binbin Chongqing Univ Technol Sch Sci Chongqing 400054 Peoples R China Southwest Univ Coll Artificial Intelligence Chongqing 400715 Peoples R China Southwest Jiaotong Univ Sch Informat Sci & Technol Inst Artificial Intelligence Chengdu 611756 Peoples R China

Most of the existing multi-source fusion methods are to choose the most reliable information from the multi-source information system to form a single-source information system. Obviously, this process is accompanied by information loss. In order to solve this problem, the multi-granulation method of information fusion in multi-source decision information system is studied in this paper. Firstly, decision support characteristic function and decision related characteristic function are constructed. Secondly, a pair of aggregation operators, including fixed aggregation operator and possible aggregation operator, is defined through two characteristic functions. Meanwhile, the two cases when thresholds alpha and beta take special values are discussed. Finally, the relevant properties of aggregation operators in different situations are proposed and proved. What is more, two groups of comparative experiments are carried out to illustrate the effect of the aggregation operators. The experimental results show that the proposed multi-source fusion method can always find a set of thresholds (alpha, beta), which makes the fusion effect better than the mean fusion. (C) 2020 Elsevier Inc. All rights reserved.

关键词： Multi-source decision information system Decision support characteristic function Decision related characteristic function Fixed aggregation operator possible aggregation operator

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