Abstract
The paper is devoted to the problem of modeling human attitudes towards imprecise ideas. A metaset is used for representing an imprecise concept and Opinion Mining techniques are applied to build a preference function which reflects someone’s attitude towards the idea. The preferences are then evaluated as real numbers for the sake of comparison and selection of the best matching instance. The core of the idea of representing any imprecise concept with a metaset lies in splitting it into a tree-like hierarchy of related sub-concepts. The nodes of the tree determine the membership degrees for metaset members and they are natural language terms which also describe reasons for some particular member to satisfy the represented idea. The Opinion Mining allows for automatic gathering and evaluation of opinions from the Internet. The proposed mechanism is applied to solve the problem of selecting the car best matching the imprecise idea of a good car for a lady. This approach can be applied in a decision support systems that helps both marketers and customers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cohen, P.: The Independence of the Continuum Hypothesis 1. Proceedings of the National Academy of Sciences of the United States of America 50, 1143–1148 (1963)
Dziczkowski, G., Wegrzyn-Wolska, K.: Rcss - rating critics support system purpose built for movies recommendation. In: Advances in Intelligent Web Mastering. Springer (2007)
Dziczkowski, G., Wegrzyn-Wolska, K.: An autonomous system designed for automatic detection and rating of film. Extraction and linguistic analysis of sentiments. In: Proceedings of WIC, Sydney (2008)
Dziczkowski, G., Wegrzyn-Wolska, K.: Tool of the intelligence economic : Recognition function of reviews critics. In: ICSOFT 2008 Proceedings (2008)
Esuli, A., Sebastiani, F.: SentiWN: A Publicly Available Lexical Resource for Opinion Mining. In: Proc. of the Fifth International Conference on Language Resources and Evaluation (LREC 2006), pp. 417–422 (2006)
Jech, T.: Set Theory: The Third Millennium Edition, Revised and Expanded. Springer, Heidelberg (2006)
Kacprzak, M., Starosta, B.: An Approach to Making Decisions with Metasets. In: Gomolinska, A., Grabowski, A., Hryniewicka, M., Kacprzak, M., Schmeidel, E. (eds.) Trends in Contemporary Computer Science, Podlasie 2014, pp. 159–172 (2014)
Kunen, K.: Set Theory, An Introduction to Independence Proofs. Studies in Logic and Foundations of Mathematics. North-Holland Publishing Company (1980)
Pawlak, Z.: Rough Sets. International Journal of Computer and Information Sciences 11, 341–356 (1982)
Starosta, B.: Application of Meta Sets to Character Recognition. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS(LNAI), vol. 5722, pp. 602–611. Springer, Heidelberg (2009)
Starosta, B.: Metasets: A New Approach to Partial Membership. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS, vol. 7267, pp. 325–333. Springer, Heidelberg (2012)
Starosta, B., Kosiński, W.: Meta Sets – Another Approach to Fuzziness. In: Seising, R. (ed.) Views on Fuzzy Sets and Systems. STUDFUZZ, vol. 243, pp. 509–532. Springer, Heidelberg (2009)
Starosta, B., Kosiński, W.: Metasets, Intuitionistic Fuzzy Sets and Uncertainty. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS(LNAI), vol. 7894, pp. 388–399. Springer, Heidelberg (2013)
Starosta, B., Kosiński, W.: Metasets, Certainty and Uncertainty. In: Atanassov, K.T., et al. (eds.) New Trends in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Foundations, vol. I, pp. 139–165. Systems Research Institute, Polish Academy of Sciences, Warsaw (2013)
Souffriau, W., Vansteenwegen, P., Vertommen, J., Vanden Berghe, G., Van Oudheusden, D.: A personalizes tourist trip design algorithm for mobile tourist guides. Applied Artificial Intelligence 22(10), 964–985 (2008)
Wegrzyn-Wolska, K., Bougueroua, L.: Tweets mining for French Presidential Election. In: Proc. of the 4th IEEE/WIC International Conference on Computation Aspects of Social Networks, CASoN 2012, SaO Carlos, Brazil (November 2012)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Kacprzak, M., Starosta, B., Węgrzyn-Wolska, K. (2015). Metasets and Opinion Mining in New Decision Support System. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_55
Download citation
DOI: https://doi.org/10.1007/978-3-319-19369-4_55
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19368-7
Online ISBN: 978-3-319-19369-4
eBook Packages: Computer ScienceComputer Science (R0)