Skip to main content
Springer Nature Link
Log in

A Case Study on Flat Rate Estimation Based on Fuzzy Logic

  • Conference paper
  • First Online:
Artificial Intelligence Trends in Intelligent Systems (CSOC 2017)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Sugeno, M., Kang, G.T.: Structure identification of fuzzy model. Fuzzy Sets Syst. 28, 15–33 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  2. Giudici, P.: Applied Data Mining: Statistical Methods for Business and Industry. Wiley, Chichester (2003)

    MATH  Google Scholar 

  3. Principal component analysis (PCA) on data - MATLAB princomp (2017). https://www.mathworks.com/help/stats/princomp.html. Accessed 10 Jan 2017

  4. Stepnowski, A., Mosynski, M., Dung, T.V.: Adaptive neuro-fuzzy and fuzzy decision tree classifiers as applied seafloor characterization. Acoust. Phys. 49(2), 189–192 (2003)

    Article  Google Scholar 

  5. Guan, J., Zurada, J., Levitan, A.S.: An adaptive neuro-fuzzy inference system-based approach to real estate property assessment. J. Real Estate Res. (JRER) 30(4), 396–421 (2008). pages.jh.edu/jrer/papers/pdf/past/vol30n04/01.395_422.pdf

  6. Kafi, A.H., Kazemipoor, H., Afshar Kazem, A.M.: Design and implementation of fuzzy expert system for real estate recommendation. Int. J. Inf. Secur. Syst. Manag. (IJISSM) 2(1), 142–147 (2013). http://www.ijissm.org/article_7443.html

Download references

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fayezah Anjum
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abu Saleh Mohammed Shoaib
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Md. Abdullah Ibne Hossain
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Alimuzzaman
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Rashedur M. Rahman
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57260-4

  • Online ISBN: 978-3-319-57261-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics