Abstract
Fuzzy linguistic logic programming is a framework for representing and reasoning with linguistically-expressed human knowledge. It is well known that allowing the representation and the manipulation of negation is an important feature for many real-world applications. In this work, we extend the framework by allowing negation connectives to occur in rule bodies, resulting in normal fuzzy linguistic logic programs, and study the stable model semantics of such logic programs.
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Le, V.H., Liu, F., Tran, D.K.: Fuzzy linguistic logic programming and its applications. Theor. Pract. Logic Programm. 9(3), 309–341 (2009)
Le, V.H., Tran, D.K.: Further results on fuzzy linguistic logic programming. J. Comput. Sci. Cybern. 30(2), 139–147 (2014)
Le, V.H., Liu, F.: Tabulation proof procedures for fuzzy linguistic logic programming. Int. J. Approximate Reasoning 63, 62–88 (2015)
Nguyen, C.H., Wechler, W.: Hedge algebras: an algebraic approach to structure of sets of linguistic truth values. Fuzzy Sets Syst. 35, 281–293 (1990)
Nguyen, C.H., Wechler, W.: Extended hedge algebras and their application to fuzzy logic. Fuzzy Sets Syst. 52, 259–281 (1992)
Le, V.H., Tran, D.K.: Extending fuzzy logics with many hedges. Fuzzy Sets Syst. 345, 126–138 (2018)
Le, V.H., Liu, F., Tran, D.K.: Mathematical fuzzy logic with many dual hedges. In: The Fifth Symposium on Information and Communication Technology (SoICT), pp. 7–13 (2014)
Zadeh, L.A.: A theory of approximate reasoning. In: Hayes, J.E., Michie, D., Mikulich, L.I., (eds.) Machine Intelligence, vol. 9, pp. 149–194. Wiley (1979)
Bellman, R.E., Zadeh, L.A.: Local and fuzzy logics. In: Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A. Zadeh, pp. 283–335. World Scientific Publishing Co., Inc, River Edge (1996)
Hájek, P.: Metamathematics of Fuzzy Logic. Kluwer, Dordrecht (1998)
Gelfond, M., Lifschitz, V.: The stable model semantics for logic programming. In: Proceedings of the 5th International Conference on Logic Programming, pp. 1070–1080. MIT Press, Cambridge (1988)
Davey, B.A., Priestley, H.A.: Introduction to Lattices and Order. Cambridge University Press, Cambridge (2002)
Madrid, N., Ojeda-Aciego, M.: On the existence and unicity of stable models in normal residuated logic programs. Int. J. Comput. Math. 89(3), 310–324 (2012)
Cornejo, M.E., Lobo, D., Medina, J.: Syntax and semantics of multi-adjoint normal logic programming. Fuzzy Sets Syst. 345, 41–62 (2018)
Loyer, Y., Straccia, U.: The well-founded semantics in normal logic programs with uncertainty. In: Hu, Z., Rodríguez-Artalejo, M. (eds.) FLOPS 2002. LNCS, vol. 2441, pp. 152–166. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45788-7_9
van Gelder, A.: The alternating fixpoint of logic programs with negation. In: PODS 1989: Proceedings of the 8th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pp. 1–10. ACM, New York (1989)
Fitting, M.: Fixpoint semantics for logic programming: a survey. Theor. Comput. Sci. 278(1–2), 25–51 (2002)
Fitting, M.: The family of stable models. J. Logic Programm. 17(2/3&4), 197–225 (1993)
van Gelder, A., Ross, K.A., Schlipf, J.S.: The well-founded semantics for general logic programs. J. ACM 38(3), 619–649 (1991)
Fitting, M.: Bilattices and the semantics of logic programming. J. Logic Programm. 11(2), 91–116 (1991)
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This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 105.08-2018.09.
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Le, V.H. (2019). The Stable Model Semantics of Normal Fuzzy Linguistic Logic Programs. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_5
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