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Conceptual Modeling Through Fuzzy Logic for Spatial Database

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Proceedings of the International Congress on Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 439))

Abstract

Fuzzy logic shows a degree of vagueness or uncertainty that is expressed with crisp spatial objects. It supports spatial database objects which can precisely determine shape and boundaries. The uses of fuzzy logic with spatial database for conceptual modeling handles uncertain data types in fuzzy object-oriented database. Fuzzy approaches have been extensively applied for modeling different databases to explicitly represent and manipulate the imprecise and uncertain data precisely. In this paper, a new conceptual modeling approach has been developed and studied on the case of traffic modeling and route identification problem.

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Authors and Affiliations

  1. Department of Computer Science, BBA University (A Central University), Lucknow, India

    Narander Kumar, Ram Singar Verma &  Jitendra Kurmi

Authors
  1. Narander Kumar
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  2. Ram Singar Verma
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  3. Jitendra Kurmi
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Corresponding author

Correspondence to Narander Kumar .

Editor information

Editors and Affiliations

  1. Anil Neerukonda Inst. of Tech. & Sci., Prof., Dept. of Computer Sci. & Engg., Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. College of Technology and Engineering, Maharana Pratap Univer. of Agri. & Tech., Udaipur, Rajasthan, India

    Yogesh Chandra Bhatt

  3. Sabarkantha, Sabar Institute of Technology, Tajpur, Gujarat, India

    Amit Joshi

  4. Near MR-10 Crossing SH, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

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© 2016 Springer Science+Business Media Singapore

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Narander Kumar, Verma, R.S., Jitendra Kurmi (2016). Conceptual Modeling Through Fuzzy Logic for Spatial Database. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-0755-2_49

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  • DOI: https://doi.org/10.1007/978-981-10-0755-2_49

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0754-5

  • Online ISBN: 978-981-10-0755-2

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