<inline-formula><math display="inline"><semantics><mrow><mo mathvariant="bold" stretchy="false">(</mo><msup><mi mathvariant="bold-italic">α</mi><mi mathvariant="bold-italic">F</mi></msup><mo mathvariant="bold">,</mo><msup><mi mathvariant="bold-italic">α</mi><mrow><mover accent="true"><mi mathvariant="bold-italic">F</mi><mo mathvariant="bold" stretchy="true">¯</mo></mover></mrow></msup><mo mathvariant="bold" stretchy="false">)</mo></mrow></semantics></math></inline-formula>-Information Fusion Generated by Information Segmentation and Its Intelligent Retrieval

Abstract

Making use of the mathematical model with dynamic features and attribute disjunctive characteristics, the new concepts of αF-information segmentation, αF¯-information segmentation, (αF,αF¯)-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