Fuzzy logic based diagnostic system for microgravity and radiation against immunity decrease and tumor induction in space

Javed Iqbal*, Muhammad Abbas, Murtaza Hasan, Wang Li, Umer Awan, Arif Muhammad Khan, Hong Qing, Yulin Deng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The space environment is inevitable to be beneficial for the human welfare. But the long-term effects of living in space are still unknown and indulge to mitigate the risks during a lengthy space habitation. Microgravity and radiations are the most critical health risk factors affecting the performance of astronauts during their long duration space exploration missions. Microgravity gradually damages the immune system which slows down the body's ability to protect itself and increased radiation level causes severe mutations resulting in tumors. The Mamdani model, implemented in the Fuzzy Logic Toolbox in MATLAB, was used for data analysis. As inputs to the system "gravity and radiations" risk factors were taken and the outputs were "Immunity and Tumor". Obtained results show that fuzzy logic can be a functional tool in dealing with this kind of medical/scientific hypothetical issues. A typical Mamdani type fuzzy control system embodies a fuzzifier, inference engine, rule base and a defuzzifier and employs fuzzy sets in the consequent part of the rules. The simulator is a MATLAB toolbox designed to visualize the movement of the "Create" in a predefined algorithm. The whole research revealed that simulation results are in complete accord with the measured values.

Original languageEnglish
Pages (from-to)1611-1620
Number of pages10
JournalWorld Applied Sciences Journal
Volume32
Issue number8
DOIs
Publication statusPublished - 2014

Keywords

  • Gravity
  • Health risk
  • MATLAB
  • Space missions

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