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Abstract

The aim of this work is to propose a new methodology for representation and processing of imprecise ideas like good hotel, good food, etc. As an example we consider the problem of verification of a hotel’s features, to choose the best place for a conference. In this approach, a vague term of a good hotel for a conference is modeled in paradigm of metasets, which involves splitting it into a tree-like hierarchy of related sub-concepts. Then, the techniques of Opinion Mining are used to determine the polarity and the intensity of opinions available on the Internet, that concern specific hotels. Finally, the membership grades for the sample hotels are calculated. These grades reflect each hotel’s total capabilities and represent the degree to which the vague idea is satisfied by each. The result is a new system that helps in decision making.

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Notes

  1. 1.

    For the detailed discussion of the relations or their evaluation the reader is referred to [11] or [13].

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Acknowledgments

Kacprzak’s contribution was supported by the Bialystok University of Technology grant S/W/1/2014.

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Correspondence to Katarzyna Wȩgrzyn-Wolska .

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Kacprzak, M., Starosta, B., Wȩgrzyn-Wolska, K. (2016). New Approach to Decision Making. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Advances in Intelligent Systems and Computing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-29504-6_38

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