Abstract
Nowadays, smartphones have become indispensable items for everybody. Thanks to them, people can communicate and access Internet at any time regardless of where they are located. New smartphones belonging to a high amount of labels and with different features and prices keep appearing constantly in the market. This way, there is a need of tools that help buyers to select and buy the smartphone that better fits their necessities. In this article, a decision support system build over a fuzzy ontology has been designed in order to help people to select the perfect smartphone for them. Linguistic labels are used in order to provide the buyer with a comfortable way of expressing himself/herself.
This is a preview of subscription content, log in via an institution to check access.
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
Smith, A.: 46% of American adults are smartphone owners. Pew Internet & American Life Project (2012)
Sultan, A.J.: Addiction to mobile text messaging applications is nothing to “lol” about. The Social Science Journal 51(1), 57–69 (2013)
Kenney, M., Pon, B.: Structuring the smartphone industry: is the mobile internet OS platform the key? Journal of Industry, Competition and Trade 11(3), 239–261 (2011)
Kou, G., Shi, Y., Wang, S.: Multiple criteria decision making and decision support systems - Guest editor’s introduction. Decision Support Systems 51(2), 247–249 (2011)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences 8, 199–249 (1975)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning-II. Information Sciences 8, 301–357 (1975)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning-III. Information Sciences 9, 43–80 (1975)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Reformat, M., Ly, C.: Ontological approach to development of computing with words based systems. International Journal of Approximate Reasoning 50(1), 72–91 (2009)
Tang, Y., Zheng, J.: Linguistic modelling based on semantic similarity relation among linguistic labels. Fuzzy Sets and Systems 157(12), 1662–1673 (2006)
Tang, Y., Lawry, J.: Linguistic modelling and information coarsening based on prototype theory and label semantics. International Journal of Approximate Reasoning 50(8), 1177–1198 (2009)
Lan, J., Sun, Q., Chen, Q., Wang, Z.: Group decision making based on induced uncertain linguistic OWA operators. Decision Support System 55(1), 296–303 (2013)
Rodríguez, R.M., Martínez, L., Herrera, F.: A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets. Information Sciences 241, 28–42 (2013)
Pérez, I.J., Wikström, R., Mezei, J., Carlsson, C., Anaya, K., Herrera-Viedma, E.: Linguistic Consensus Models based on a Fuzzy Ontology. Procedia Computer Science 17, 498–505 (2013)
Rodger, J.A.: A fuzzy linguistic ontology payoff method for aerospace real options valuation. Expert Systems with Applications 40(8), 2828–2840 (2013)
Bateman, J.A., Hois, J., Ross, R., Tenbrink, T.: A linguistic ontology of space for natural language processing. Artificial Intelligence 174(14), 1027–1071 (2010)
Jiang, Y., Tang, Y., Chen, Q., Wang, J.: Reasoning and change management in modular fuzzy ontologies. Expert Systems with Applications 38(11), 13975–13986 (2011)
Bobillo, F., Straccia, U.: Aggregation operators for fuzzy ontologies. Applied Soft Computing 13(9), 3816–3830 (2013)
Bobillo, F., Straccia, U.: fuzzyDL: An expressive fuzzy description logic reasoner. In: FUZZ-IEEE, pp. 923–930 (2008)
Zhang, F., Ma, Z.M., Yan, L.: Construction of fuzzy ontologies from fuzzy XML models. Knowledge-Based Systems 42, 20–39 (2013)
Zhang, F., Ma, Z.M., Yan, L., Cheng, J.: Construction of fuzzy OWL ontologies from fuzzy EER models: A semantics-preserving approach. Fuzzy Sets and Systems 229, 1–32 (2013)
Torra, V.: The weighted OWA operator. International Journal of Intelligent Systems 12(2), 153–166 (1997)
Perez, I.J., Cabrerizo, F.J., Alonso, S., Herrera-Viedma, E.: A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44(4), 494–498 (2013)
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
Molinera, J.A.M., Gálvez, I.J.P., Wikström, R., Viedma, E.H., Carlsson, C. (2015). Designing a Decision Support System for Recommending Smartphones Using Fuzzy Ontologies. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-11310-4_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11309-8
Online ISBN: 978-3-319-11310-4
eBook Packages: EngineeringEngineering (R0)