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An Innovative and Improved Mamdani Inference (IMI) Method

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Advances in Soft Computing (MICAI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11288))

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Abstract

For a fuzzy system, inputs can be considered as crisp ones or fuzzy ones or a combination of them. Generally, the inputs are of crisp type; but sometimes they are of fuzzy type. For fuzzy inputs, the min max method for measuring the amount of matching is used. The min max method is studied in the paper and its weaknesses will be discovered in the current paper. We propose an alternative approach which is called an innovative and improved mamdani inference method (IIMI). We will show that all weaknesses of the previous min max method have been managed in the proposed inference method.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran

    Hamid Jamalinia, Zahra Alizadeh & Hamid Parvin

  2. Young Researchers and Elite Club, Yasooj Branch, Islamic Azad University, Yasooj, Iran

    Hamid Jamalinia, Samad Nejatian & Vahideh Rezaie

  3. Department of Electrical Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran

    Samad Nejatian

  4. Young Researchers and Elite Club, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran

    Hamid Parvin

  5. Department of Mathematic, Yasooj Branch, Islamic Azad University, Yasooj, Iran

    Vahideh Rezaie

Authors
  1. Hamid Jamalinia
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  2. Zahra Alizadeh
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  3. Samad Nejatian
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  4. Hamid Parvin
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  5. Vahideh Rezaie
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Corresponding author

Correspondence to Vahideh Rezaie .

Editor information

Editors and Affiliations

  1. Instituto Politécnico Nacional, Mexico City, Mexico

    Ildar Batyrshin

  2. Universidad Panamericana, Mexico City, Mexico

    María de Lourdes Martínez-Villaseñor

  3. Faculty of Engineering, Universidad Panamericana, Mexico City, Mexico

    Hiram Eredín Ponce Espinosa

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Jamalinia, H., Alizadeh, Z., Nejatian, S., Parvin, H., Rezaie, V. (2018). An Innovative and Improved Mamdani Inference (IMI) Method. In: Batyrshin, I., Martínez-Villaseñor, M., Ponce Espinosa, H. (eds) Advances in Soft Computing. MICAI 2018. Lecture Notes in Computer Science(), vol 11288. Springer, Cham. https://doi.org/10.1007/978-3-030-04491-6_32

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  • DOI: https://doi.org/10.1007/978-3-030-04491-6_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04490-9

  • Online ISBN: 978-3-030-04491-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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