Similarity-based unification: a multi-adjoint approach
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[MOV04] J. Medina, M. Ojeda-Aciego, and P. Vojtás. “Similarity-based unification: a multi-adjoint approach”. In: Fuzzy Sets Syst. 146.1 (2004), pp. 43-62. DOI: 10.1016/J.FSS.2003.11.005. URL: https://doi.org/10.1016/j.fss.2003.11.005.
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[1] L. Antoni, S. Krajči, O. Krídlo, et al. “On heterogeneous formal contexts”. In: Fuzzy Sets and Systems 234 (Jan. 2014), p. 22–33. ISSN: 0165-0114. DOI: 10.1016/j.fss.2013.04.008. URL: http://dx.doi.org/10.1016/j.fss.2013.04.008.
[2] M. E. Cornejo, J. C. Díaz-Moreno, and J. Medina. “Multi-adjoint Relation Equations: A Decision Support System for Fuzzy Logic: MULTI-ADJOINT RELATION EQUATIONS”. In: International Journal of Intelligent Systems 32.8 (Mar. 2017), p. 778–800. ISSN: 0884-8173. DOI: 10.1002/int.21889. URL: http://dx.doi.org/10.1002/int.21889.
[3] M. E. Cornejo, J. Medina, and E. Ramírez-Poussa. “Algebraic structure and characterization of adjoint triples”. In: Fuzzy Sets and Systems 425 (Nov. 2021), p. 117–139. ISSN: 0165-0114. DOI: 10.1016/j.fss.2021.02.002. URL: http://dx.doi.org/10.1016/j.fss.2021.02.002.
[4] M. E. Cornejo, J. Medina, and E. Ramírez-Poussa. “Multi-adjoint algebras versus non-commutative residuated structures”. In: International Journal of Approximate Reasoning 66 (Nov. 2015), p. 119–138. ISSN: 0888-613X. DOI: 10.1016/j.ijar.2015.08.003. URL: http://dx.doi.org/10.1016/j.ijar.2015.08.003.
[5] M. Eugenia Cornejo, J. Medina, and E. Ramírez. “A comparative study of adjoint triples”. In: Fuzzy Sets and Systems 211 (Jan. 2013), p. 1–14. ISSN: 0165-0114. DOI: 10.1016/j.fss.2012.05.004. URL: http://dx.doi.org/10.1016/j.fss.2012.05.004.
[6] P. Julián-Iranzo, G. Moreno, J. Penabad, et al. “A Fuzzy Logic Programming Environment for Managing Similarity and Truth Degrees”. In: Electronic Proceedings in Theoretical Computer Science 173 (Jan. 2015), p. 71–86. ISSN: 2075-2180. DOI: 10.4204/eptcs.173.6. URL: http://dx.doi.org/10.4204/eptcs.173.6.
[7] P. Julián-Iranzo and C. Rubio-Manzano. “A declarative semantics for Bousi~Prolog”. In: Proceedings of the 11th ACM SIGPLAN conference on Principles and practice of declarative programming. PPDP ’09. ACM, Sep. 2009, p. 149–160. DOI: 10.1145/1599410.1599430. URL: http://dx.doi.org/10.1145/1599410.1599430.
[8] P. Julián-Iranzo and C. Rubio-Manzano. “A sound and complete semantics for a similarity-based logic programming language”. In: Fuzzy Sets and Systems 317 (Jun. 2017), p. 1–26. ISSN: 0165-0114. DOI: 10.1016/j.fss.2016.12.016. URL: http://dx.doi.org/10.1016/j.fss.2016.12.016.
[9] P. Julián-Iranzo and C. Rubio-Manzano. “Proximity-based unification theory”. In: Fuzzy Sets and Systems 262 (Mar. 2015), p. 21–43. ISSN: 0165-0114. DOI: 10.1016/j.fss.2014.07.006. URL: http://dx.doi.org/10.1016/j.fss.2014.07.006.
[10] P. Julián-Iranzo, C. Rubio-Manzano, and J. Gallardo-Casero. “Bousi~Prolog: a Prolog Extension Language for Flexible Query Answering”. In: Electronic Notes in Theoretical Computer Science 248 (Aug. 2009), p. 131–147. ISSN: 1571-0661. DOI: 10.1016/j.entcs.2009.07.064. URL: http://dx.doi.org/10.1016/j.entcs.2009.07.064.
[11] P. Julián, G. Moreno, and J. Penabad. “On fuzzy unfolding: A multi-adjoint approach”. In: Fuzzy Sets and Systems 154.1 (Aug. 2005), p. 16–33. ISSN: 0165-0114. DOI: 10.1016/j.fss.2005.03.013. URL: http://dx.doi.org/10.1016/j.fss.2005.03.013.
[12] J. Konecny, J. Medina, and M. Ojeda-Aciego. “Multi-adjoint concept lattices with heterogeneous conjunctors and hedges”. In: Annals of Mathematics and Artificial Intelligence 72.1–2 (Mar. 2014), p. 73–89. ISSN: 1573-7470. DOI: 10.1007/s10472-014-9405-y. URL: http://dx.doi.org/10.1007/s10472-014-9405-y.
[13] V. H. LE, F. LIU, and D. K. TRAN. “Fuzzy linguistic logic programming and its applications”. In: Theory and Practice of Logic Programming 9.3 (May. 2009), p. 309–341. ISSN: 1475-3081. DOI: 10.1017/s1471068409003779. URL: http://dx.doi.org/10.1017/s1471068409003779.
[14] N. Madrid and M. Ojeda-Aciego. “Measuring Inconsistency in Fuzzy Answer Set Semantics”. In: IEEE Transactions on Fuzzy Systems 19.4 (Aug. 2011), p. 605–622. ISSN: 1941-0034. DOI: 10.1109/tfuzz.2011.2114669. URL: http://dx.doi.org/10.1109/tfuzz.2011.2114669.
[15] N. Madrid and M. Ojeda-Aciego. “On Coherence and Consistence in Fuzzy Answer Set Semantics for Residuated Logic Programs”. In: Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2009, p. 60–67. ISBN: 9783642022821. DOI: 10.1007/978-3-642-02282-1_8. URL: http://dx.doi.org/10.1007/978-3-642-02282-1_8.
[16] N. Madrid and M. Ojeda-Aciego. “Towards a Fuzzy Answer Set Semantics for Residuated Logic Programs”. In: 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, Dec. 2008, p. 260–264. DOI: 10.1109/wiiat.2008.357. URL: http://dx.doi.org/10.1109/wiiat.2008.357.
[17] J. Medina. “Multi-adjoint property-oriented and object-oriented concept lattices”. In: Information Sciences 190 (May. 2012), p. 95–106. ISSN: 0020-0255. DOI: 10.1016/j.ins.2011.11.016. URL: http://dx.doi.org/10.1016/j.ins.2011.11.016.
[18] J. Medina and M. Ojeda-Aciego. “Dual multi-adjoint concept lattices”. In: Information Sciences 225 (Mar. 2013), p. 47–54. ISSN: 0020-0255. DOI: 10.1016/j.ins.2012.10.030. URL: http://dx.doi.org/10.1016/j.ins.2012.10.030.
[19] J. Medina and M. Ojeda-Aciego. “Multi-adjoint t-concept lattices”. In: Information Sciences 180.5 (Mar. 2010), p. 712–725. ISSN: 0020-0255. DOI: 10.1016/j.ins.2009.11.018. URL: http://dx.doi.org/10.1016/j.ins.2009.11.018.
[20] J. Medina, M. Ojeda-Aciego, and J. Ruiz-Calviño. “Formal concept analysis via multi-adjoint concept lattices”. In: Fuzzy Sets and Systems 160.2 (Jan. 2009), p. 130–144. ISSN: 0165-0114. DOI: 10.1016/j.fss.2008.05.004. URL: http://dx.doi.org/10.1016/j.fss.2008.05.004.
[21] P. J. Morcillo and G. Moreno. “Programming with Fuzzy Logic Rules by Using the FLOPER Tool”. In: Rule Representation, Interchange and Reasoning on the Web. Springer Berlin Heidelberg, 2008, p. 119–126. ISBN: 9783540888086. DOI: 10.1007/978-3-540-88808-6_14. URL: http://dx.doi.org/10.1007/978-3-540-88808-6_14.
[22] P. J. Morcillo, G. Moreno, J. Penabad, et al. “A Practical Management of Fuzzy Truth-Degrees Using FLOPER”. In: Semantic Web Rules. Springer Berlin Heidelberg, 2010, p. 20–34. ISBN: 9783642162893. DOI: 10.1007/978-3-642-16289-3_4. URL: http://dx.doi.org/10.1007/978-3-642-16289-3_4.
[23] S. Munoz-Hernandez, V. Pablos-Ceruelo, and H. Strass. “RFuzzy: Syntax, semantics and implementation details of a simple and expressive fuzzy tool over Prolog”. In: Information Sciences 181.10 (May. 2011), p. 1951–1970. ISSN: 0020-0255. DOI: 10.1016/j.ins.2010.07.033. URL: http://dx.doi.org/10.1016/j.ins.2010.07.033.
[24] S. Schockaert and H. Prade. “Interpolative and extrapolative reasoning in propositional theories using qualitative knowledge about conceptual spaces”. In: Artificial Intelligence 202 (Sep. 2013), p. 86–131. ISSN: 0004-3702. DOI: 10.1016/j.artint.2013.07.001. URL: http://dx.doi.org/10.1016/j.artint.2013.07.001.
[25] U. Straccia. “Managing Uncertainty and Vagueness in Description Logics, Logic Programs and Description Logic Programs”. In: Reasoning Web. Springer Berlin Heidelberg, 2008, p. 54–103. ISBN: 9783540856580. DOI: 10.1007/978-3-540-85658-0_2. URL: http://dx.doi.org/10.1007/978-3-540-85658-0_2.