IDEAS home Printed from https://ideas.repec.org/a/spr/cejnor/v19y2011i3p253-265.html
   My bibliography  Save this article

Regression-fuzzy approach to land valuation

Author

Listed:
  • Marija Bogataj
  • Danijela Tuljak Suban
  • Samo Drobne

Abstract

In this paper, we demonstrate that the fuzzy pricing model can improve regression analysis in applications where non-smoothness appears. Combining the fuzzy and regression approaches it is capable of modelling complex non-linearities. The application of this approach describes an effort to design a regression-fuzzy system to estimate real estate market values, especially for vacant urban plots. The results are compared with those obtained using a traditional multiple regression model only. The changes of parameters in the domain of independent variables of the regression function are determined by the analysis of membership functions defining the terms of the fuzzy model. The paper also describes possible future research. The suggested method is interesting for real estate appraisers, real estate companies, and bureaus because it provides a better overview of location prices. The suggested approach could be also used in various other economic and business analyses. Copyright Springer-Verlag 2011

Suggested Citation

  • Marija Bogataj & Danijela Tuljak Suban & Samo Drobne, 2011. "Regression-fuzzy approach to land valuation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(3), pages 253-265, September.
    • Handle: RePEc:spr:cejnor:v:19:y:2011:i:3:p:253-265
    DOI: 10.1007/s10100-010-0188-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10100-010-0188-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10100-010-0188-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aragones-Beltran, P. & Aznar, J. & Ferris-Onate, J. & Garcia-Melon, M., 2008. "Valuation of urban industrial land: An analytic network process approach," European Journal of Operational Research, Elsevier, vol. 185(1), pages 322-339, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jannet C. Bencure & Nitin K. Tripathi & Hiroyuki Miyazaki & Sarawut Ninsawat & Sohee Minsun Kim, 2019. "Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    2. Tibor Csendes & Janez Povh & Lidija Stirn & Janez Žerovnik, 2011. "Editorial," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(3), pages 251-252, September.
    3. Andrej Kastrin & Janez Povh & Lidija Zadnik Stirn & Janez Žerovnik, 2021. "Methodologies and applications for resilient global development from the aspect of SDI-SOR special issues of CJOR," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 773-790, September.
    4. Bogataj, David & Bogataj, Marija & Drobne, Samo, 2019. "Interactions between flows of human resources in functional regions and flows of inventories in dynamic processes of global supply chains," International Journal of Production Economics, Elsevier, vol. 209(C), pages 215-225.
    5. Bovkir, Rabia & Aydinoglu, Arif Cagdas, 2018. "Providing land value information from geographic data infrastructure by using fuzzy logic analysis approach," Land Use Policy, Elsevier, vol. 78(C), pages 46-60.
    6. Bogataj, David & Battini, Daria & Calzavara, Martina & Persona, Alessandro, 2019. "The ageing workforce challenge: Investments in collaborative robots or contribution to pension schemes, from the multi-echelon perspective," International Journal of Production Economics, Elsevier, vol. 210(C), pages 97-106.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Congguo Zhang & Di Yao & Yanlin Zhen & Weiwei Li & Kerun Li, 2022. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta," Land, MDPI, vol. 11(9), pages 1-35, August.
    2. Afsaneh Afzali & Soheil Sabri & M. Rashid & Jamal Mohammad Vali Samani & Ahmad Ludin, 2014. "Inter-Municipal Landfill Site Selection Using Analytic Network Process," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2179-2194, June.
    3. J Aznar & J Ferrís-Oñate & F Guijarro, 2010. "An ANP framework for property pricing combining quantitative and qualitative attributes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 740-755, May.
    4. Anzanello, Michel J. & Albin, Susan L. & Chaovalitwongse, Wanpracha A., 2012. "Multicriteria variable selection for classification of production batches," European Journal of Operational Research, Elsevier, vol. 218(1), pages 97-105.
    5. Cortés-Aldana, Félix Antonio & García-Melón, Mónica & Fernández-de-Lucio, Ignacio & Aragonés-Beltrán, Pablo & Poveda-Bautista, Rocío, 2009. "University objectives and socioeconomic results: A multicriteria measuring of alignment," European Journal of Operational Research, Elsevier, vol. 199(3), pages 811-822, December.
    6. Jannet C. Bencure & Nitin K. Tripathi & Hiroyuki Miyazaki & Sarawut Ninsawat & Sohee Minsun Kim, 2019. "Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    7. Kirytopoulos, Konstantinos & Voulgaridou, Dimitra & Platis, Agapios & Leopoulos, Vrassidas, 2011. "An effective Markov based approach for calculating the Limit Matrix in the analytic network process," European Journal of Operational Research, Elsevier, vol. 214(1), pages 85-90, October.
    8. J P Pastor-Ferrando & P Aragonés-Beltrán & A Hospitaler-Pérez & M García-Melón, 2010. "An ANP- and AHP-based approach for weighting criteria in public works bidding," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(6), pages 905-916, June.
    9. Narula, Subhash C. & Wellington, John F. & Lewis, Stephen A., 2012. "Valuating residential real estate using parametric programming," European Journal of Operational Research, Elsevier, vol. 217(1), pages 120-128.
    10. Chen, Shuo-Pei & Wu, Wann-Yih, 2010. "A systematic procedure to evaluate an automobile manufacturer-distributor partnership," European Journal of Operational Research, Elsevier, vol. 205(3), pages 687-698, September.
    11. Wen‐Hsien Tsai & Yu‐Wei Chou & Kuen‐Chang Lee & Wan‐Rung Lin & Elliott T.Y. Hwang, 2013. "Combining Decision Making Trial and Evaluation Laboratory with Analytic Network Process to Perform an Investigation of Information Technology Auditing and Risk Control in an Enterprise Resource Planni," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(2), pages 176-193, March.
    12. Jolanta Poplawska & Ashraf Labib & Deborah M. Reed, 2017. "From vicious to virtuous circles: problem structuring for quantified decision making in operationalization of corporate social responsibility," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(3), pages 291-307, March.
    13. Parviz Mohamadzadeh & Samereh Pourmoradian & Bakhtiar Feizizadeh & Ayyoob Sharifi & Mathias Vogdrup-Schmidt, 2020. "A GIS-Based Approach for Spatially-Explicit Sustainable Development Assessments in East Azerbaijan Province, Iran," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    14. Ergu, Daji & Kou, Gang & Peng, Yi & Shi, Yong, 2011. "A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP," European Journal of Operational Research, Elsevier, vol. 213(1), pages 246-259, August.
    15. W-H Tsai & W-C Chou & W Hsu, 2009. "The sustainability balanced scorecard as a framework for selecting socially responsible investment: an effective MCDM model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1396-1410, October.
    16. J. F. Juliá-Igual & R. Cervelló-Royo & I. Berné-Lafuente, 2017. "Market value analysis of a Chinese e-commerce holding group: a multicriteria approach," Service Business, Springer;Pan-Pacific Business Association, vol. 11(3), pages 475-490, September.
    17. J. Claver & A. García-Domínguez & M. A. Sebastián, 2018. "Decision-Making Methodologies for Reuse of Industrial Assets," Complexity, Hindawi, vol. 2018, pages 1-17, February.
    18. Kheybari, Siamak & Rezaie, Fariba Mahdi & Farazmand, Hadis, 2020. "Analytic network process: An overview of applications," Applied Mathematics and Computation, Elsevier, vol. 367(C).
    19. Wen-Hsien Tsai & Pei-Ling Lee & Yu-Shan Shen & Elliott Hwang, 2014. "A combined evaluation model for encouraging entrepreneurship policies," Annals of Operations Research, Springer, vol. 221(1), pages 449-468, October.
    20. Aznar Bellver, Jerónimo & Cervelló Royo, Roberto & García García, Fernando, 2011. "Una alternativa multicriterio a la valoración de empresas: aplicación a las Cajas de Ahorro/A Multicriteria Alternative to Companies’ Valuation: Application to a Spanish Savings Bank," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 393(16á.)-3, Abril.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:cejnor:v:19:y:2011:i:3:p:253-265. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.