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Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge

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Artificial Intelligence and Soft Computing (ICAISC 2018)

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Abstract

In the paper, we investigate the problem of replacing long-lasting and expensive research by expert knowledge. The proposed innovative method is a far-reaching improvement of the AHP method. Through the use of a slider, the proposed approach can be used by experts who have not yet met the AHP method or do not feel comfortable when using classic approach related to words and numbers. In the series of experiments, we confirm the efficiency of the method in a modeling of electricity consumption in teleinformatics and in an application of biodiversity to urban planning.

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Acknowledgements

The authors are supported by National Science Centre, Poland [grant no. 2014/13/D/ST6/03244]. Support from the Canada Research Chair (CRC) program and Natural Sciences and Engineering Research Council is gratefully acknowledged (W. Pedrycz).

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Correspondence to Adam Kiersztyn .

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Kiersztyn, A., Karczmarek, P., Zhadkovska, K., Pedrycz, W. (2018). Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science(), vol 10842. Springer, Cham. https://doi.org/10.1007/978-3-319-91262-2_50

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  • DOI: https://doi.org/10.1007/978-3-319-91262-2_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91261-5

  • Online ISBN: 978-3-319-91262-2

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