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A Case Study on Flat Rate Estimation Based on Fuzzy Logic

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Artificial Intelligence Trends in Intelligent Systems (CSOC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 573))

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Abstract

The main objective of this research is to develop a system based on fuzzy logic to estimate flat rent in Bangladesh. The data set consists of 63 individual flats in different blocks of Bashundhara Residential Area, Dhaka, Bangladesh. A number of factors influence the decision of a tenant to rent a flat. Since it is not desirable to work with a large number of variables, we used one of the dimensionality reduction techniques, known as Principle Component Analysis (PCA). PCA helps in reducing the number of variables from the set of data, as well keeping hold the most of the variability in data. This paper describes the implementation of an adaptive neuro-fuzzy inference system (ANFIS)-based approach to estimate the rent of the flat. The Sugeno ANFIS model is proposed in order to develop a systematized approach of generating fuzzy rules and membership function parameters for fuzzy sets from a given set of input and output data.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, North South University, Plot 15, Block-B, Bashundhara, Dhaka, 1229, Bangladesh

    Kazi Kowshin Raihana, Fayezah Anjum, Abu Saleh Mohammed Shoaib, Md. Abdullah Ibne Hossain, M. Alimuzzaman & Rashedur M. Rahman

Authors
  1. Kazi Kowshin Raihana
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  2. Fayezah Anjum
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  3. Abu Saleh Mohammed Shoaib
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  4. Md. Abdullah Ibne Hossain
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  5. M. Alimuzzaman
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  6. Rashedur M. Rahman
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Corresponding author

Correspondence to Rashedur M. Rahman .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zdenka Prokopova

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Petr Silhavy

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Raihana, K.K., Anjum, F., Shoaib, A.S.M., Hossain, M.A.I., Alimuzzaman, M., Rahman, R.M. (2017). A Case Study on Flat Rate Estimation Based on Fuzzy Logic. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_32

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  • DOI: https://doi.org/10.1007/978-3-319-57261-1_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57260-4

  • Online ISBN: 978-3-319-57261-1

  • eBook Packages: EngineeringEngineering (R0)

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