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Extended Fully Fuzzy Linear Regression to Analyze a Solid Cantilever Beam Moment

Author

Listed:
  • Seyedehnegar Seyedmonir
  • Mostafa Bayrami
  • Saeid Jafarzadeh Ghoushchi
  • Amir Alipour Yengejeh
  • Hakimeh Morabbi Heravi

Abstract

There are several procedures such as possibilistic and least-square methods to estimate regression models. In this study, first, a fully fuzzy regression equation is converted into a fully fuzzy linear framework. By considering a least-square approach, a model is suggested based on matrix equations for solving fully fuzzy regression models. The main advantage of this method over existing ones is that this method considered values based on their specification, and all linear problems can be easily solved. Moreover, a case study for solid mechanics about the quantity of beam momentum is considered. In this example, the inner data are force values, and the output is momentum values.

Suggested Citation

  • Seyedehnegar Seyedmonir & Mostafa Bayrami & Saeid Jafarzadeh Ghoushchi & Amir Alipour Yengejeh & Hakimeh Morabbi Heravi, 2021. "Extended Fully Fuzzy Linear Regression to Analyze a Solid Cantilever Beam Moment," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, October.
    • Handle: RePEc:hin:jnlmpe:2684816
    DOI: 10.1155/2021/2684816
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