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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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Network rule extraction under the network formal context based on three-way decision.

Min Fan1,2, Shan Luo1,2, Jinhai Li1,2

  • 1Faculty of Science, Kunming University of Science and Technology, Kunming, 650500 Yunnan People's Republic of China.

Applied Intelligence (Dordrecht, Netherlands)
|June 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel framework combining network analysis with three-way decision-making for knowledge discovery. It enables identification of network concepts and their importance, aiding in complex data analysis and rule extraction.

Keywords:
Concept logic of networkGranular computingNetwork rule extractionNetwork weaken-conceptThree-way concept analysisThree-way decision

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Area of Science:

  • Data Mining and Network Analysis
  • Decision Science and Artificial Intelligence

Background:

  • Knowledge discovery is advancing with network structure analysis.
  • Three-way concept analysis aids human decision-making under uncertainty.
  • Integrating these fields requires obtaining network characteristics for three-way rules.

Purpose of the Study:

  • To unify complex network analysis and three-way decision-making into a single data framework.
  • To study network weaken-concepts and their sub-network characteristics.
  • To develop algorithms for rule extraction and reduction in network contexts.

Main Methods:

  • Proposed the network formal context of three-way decision (NFC3WD).
  • Studied network weaken-concepts of three-way decision (NWC3WD) and their sub-networks.
  • Developed bidirectional rule extraction and reduction algorithms based on confidence degree.

Main Results:

  • Introduced the concept logic of network and its operators.
  • Enabled identification of network weaken-concepts and sub-network influence.
  • Successfully applied algorithms to COVID-19 diagnosis, revealing diagnostic rules and population importance.

Conclusions:

  • The proposed NFC3WD framework effectively integrates network analysis and three-way decision-making.
  • The developed methods provide insights into network concepts and their influence.
  • The approach demonstrates superiority in rule extraction and application to real-world problems like disease diagnosis.