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Research Article | Open Access |

Satellite Image Database Search Engine which Allows Fuzzy Expression of Geophysical Parameters of Queries

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 5 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110511

Abstract

Satellite image database search engine which allows fuzzy expression of geophysical parameters of queries is proposed. A search engine based on knowledge based system which allows fuzzy expression of queries is proposed. A prototype system is created and tested. Whereas conventional search systems had to know in advance the functions of the search system, information about search keys, etc., the search engine proposed here guided the search conditions in a conversational form, by allowing ambiguous expressions (six adverb language hedges) at that time, the user is released from such annoyance. To make this possible, a membership function for each attribute information is defined, and a search condition refinement by fuzzy logic is introduced. The results show that the system accepts a fuzzy expression of query as well as a comprehensive dialogues between users and the system.

Keywords

How to Cite this Article

Arai, K. (2020). Satellite Image Database Search Engine which Allows Fuzzy Expression of Geophysical Parameters of Queries. International Journal of Advanced Computer Science and Applications, 11(5). https://doi.org/10.14569/IJACSA.2020.0110511

Arai, Kohei. "Satellite Image Database Search Engine which Allows Fuzzy Expression of Geophysical Parameters of Queries." International Journal of Advanced Computer Science and Applications, vol. 11, no. 5, 2020, https://doi.org/10.14569/IJACSA.2020.0110511.

@article{Arai2020,
  title     = {Satellite Image Database Search Engine which Allows Fuzzy Expression of Geophysical Parameters of Queries},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {5},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2020.0110511},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110511}
}

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