( α F, α F ¯ ) -Information Fusion Generated by Information Segmentation and Its Intelligent Retrieval

Xiuquan Zhang, Lin Shen and Kaiquan Shi
Additional contact information
Xiuquan Zhang: School of Mathematics and Statistics, Huanghuai University, Zhumadian 463000, China
Lin Shen: School of Mathematics and Statistics, Huanghuai University, Zhumadian 463000, China
Kaiquan Shi: School of Mathematics and Systems Science, Shandong University, Jinan 250100, China

Mathematics, 2022, vol. 10, issue 5, 1-14

Abstract: Making use of the mathematical model with dynamic features and attribute disjunctive characteristics, the new concepts of α F -information segmentation, α F ¯ -information segmentation, ( α F , α F ¯ ) -information segmentation and their attribute characteristics are given, and the intelligent acquisition of matrix reasoning and information segmentation is given, as well as the information segmentation theorem. Moreover, the equivalence between information segmentation and information fusion is discussed, and the information fusion intelligent acquisition intelligent retrieval algorithm is given. Based on these theoretical results, the intelligent information fusion retrieval algorithm and its simple application in health big data are presented. In conclusion, the results presented in this paper are entirely based on new ideas.

Keywords: information segmentation; matrix reasoning; information fusion; intelligent algorithms; intelligent retrieval (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/5/713/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/5/713/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:5:p:713-:d:757398

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().