Abstract
The spatio-temporal reasoning is an import field of artificial intelligence. However the qualitative distance (like near or far) which can be the result of a natural language processing is almost impossible to interpret due to its relative character (connected with a specific language competences of an interlocutor, the context of usage and the perspective of observation). That is why we present a technique for the construction of the fuzzy values associated with such expressions which is based on the questionnaire experiment performed via Internet. We also show how the final linguistic variables can simple became arguments for complex calculations. The presented solution can be treat as a general method applicable in many areas.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Freksa, C.: Qualitative Spatial Reasoning. In: Frank, D.M., Frank, A.U. (eds.) Cognitive and Linguistics Aspects of Geographic Space. NATO ASI Series, pp. 361–372 (1991)
Goyal, R.K., Egenhofer, M.J.: Cardinal directions between extended spatial objects. IEEE Transactions on Knowledge and Data Engineering (2001)
Hernández, D.: Qualitative Representation of Spatial Knowledge. LNCS, vol. 804. Springer, Heidelberg (1994)
Papageorgiou, E.I., Papandrianos, N., Karagianni, G., Kyriazopoulos, G., Sfyras, D.: Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS, vol. 5722, pp. 109–118. Springer, Heidelberg (2009)
Retz-Schmidt, G.: Various Views on Spatial Prepositions. In: Engelmore, R. (ed.) AI Magazine, vol. 9(2), pp. 95–105. AAAI Press, Menlo Park (1988)
Skiadopoulos, S., Koubarakis, M.: Composing cardinal direction relations. In: Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J. (eds.) SSTD 2001. LNCS, vol. 2121, pp. 299–317. Springer, Heidelberg (2001)
Vetulani, Z., Marciniak, J., Obrebski, T., Kubis, M., Osinski, J., Walkowska, J., Kubacki, P., Witalewski, K.: POLINT-112-SMS: Beta Prototype. In: Vetulani, Z. (ed.) Proceedings of the 4th Language & Technology Conference, November 6-8, pp. 160–164. Wyd. Poznanskie, Poznan (2009)
Vetulani, Z., Marciniak, J., Obrebski, T., Vetulani, G., Dabrowski, A., Kubis, M., Osinski, J., Walkowska, J., Kubacki, P., Witalewski, K.: Zasoby jezykowe i technologie przetwarzania tekstu. POLINT-112-SMS jako przyklad aplikacji z zakresu bezpieczenstwa publicznego (Language resources and text processing Technologies. POLINT-112-SMS as example of public security application with language competence). Wyd. UAM, Poznan (2010) (in Polish)
Zadeh, L.: The concept of a linguistic variable and its application to approximate reasoning - I. Information Sciences 8(3), 199–249 (1975)
Mohamad Zain, N., Narayana Samy, G., Ahmad, R., Ismail, Z., Abdul Manaf, A.: Fuzzy Based Threat Analysis in Total Hospital Information System. In: Kim, T.-H., Adeli, H. (eds.) AST/UCMA/ISA/ACN 2010. LNCS, vol. 6059, pp. 1–14. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Osiński, J. (2013). The Construction of the Relative Distance Fuzzy Values Based on the Questionnaire Experiment. In: Baldoni, M., Baroglio, C., Boella, G., Micalizio, R. (eds) AI*IA 2013: Advances in Artificial Intelligence. AI*IA 2013. Lecture Notes in Computer Science(), vol 8249. Springer, Cham. https://doi.org/10.1007/978-3-319-03524-6_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-03524-6_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03523-9
Online ISBN: 978-3-319-03524-6
eBook Packages: Computer ScienceComputer Science (R0)