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A Relaxed Parzen Window Based Multifeatured Fuzzy-GIS Model to Forecast Facility Locations (RPWMFGISFFL)

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Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 132))

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Abstract

In this paper, a Relaxed Parzen Window based Multifeatured Fuzzy-GIS model has been proposed to forecast future facility locations for various community services. Delaunay Triangulation technique is used as the base of the model. Given a set of facility locations in a locality, the model forecasts the best feasible places for the introduction of new facility centers based on various attribute values. The Decision Support System of the proposed model is based on Relaxed Parzen Window and Fuzzy implication technique. The degree of need depends on the distance vector and the expected population of the locality.

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Burdwan, Burdwan, West Bengal, India, 713104

    Parthajit Roy

  2. Department of Computer Science and Engineering, Kalyani University, Kalyani, West Bengal, India, 741235

    Jyotsna Kumar Mandal

Authors
  1. Parthajit Roy
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  2. Jyotsna Kumar Mandal
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Editor information

Editors and Affiliations

  1. Dept of Computer Science and Engineering ANITS, Andhra University, Sangivalasa, 530003, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. College of Engineering Dept. of CS&SE ANITS, Andhra University, Sangivalasa, 530003, Vishakapatnam, India

    P. S. Avadhani

  3. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

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© 2012 Springer-Verlag Berlin Heidelberg

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Roy, P., Mandal, J.K. (2012). A Relaxed Parzen Window Based Multifeatured Fuzzy-GIS Model to Forecast Facility Locations (RPWMFGISFFL). In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_72

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  • DOI: https://doi.org/10.1007/978-3-642-27443-5_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27442-8

  • Online ISBN: 978-3-642-27443-5

  • eBook Packages: EngineeringEngineering (R0)

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