On reductants in the framework of multi-adjoint logic programming

 

Abstract

Citation

Please, cite this work as:

[IMO17] P. J. Iranzo, J. Medina, and M. Ojeda-Aciego. “On reductants in the framework of multi-adjoint logic programming”. In: Fuzzy Sets Syst. 317 (2017), pp. 27-43. DOI: 10.1016/J.FSS.2016.09.004. URL: https://doi.org/10.1016/j.fss.2016.09.004.

BibTeX

@Article{Iranzo2017,
     author = {Pascual Juli{’a}n Iranzo and Jes{’u}s Medina and Manuel Ojeda-Aciego},
     journal = {Fuzzy Sets Syst.},
     title = {On reductants in the framework of multi-adjoint logic programming},
     year = {2017},
     pages = {27–43},
     volume = {317},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/fss/IranzoMO17.bib},
     doi = {10.1016/J.FSS.2016.09.004},
     timestamp = {Thu, 07 Jan 2021 00:00:00 +0100},
     url = {https://doi.org/10.1016/j.fss.2016.09.004},
}

Bibliometric data

The following data has been extracted from resources such as OpenAlex, Dimensions, PlumX or Altmetric.

14

CITATIONS

14 Total citations

2 Recent citations

3.19 Field Citation Ratio

n/a Relative Citation Ratio

• Citations
• CrossRef - Citation Indexes: 7
• Scopus - Citation Indexes: 16

• Captures
• Mendeley - Readers: 5

-

see details

Cites

The following graph plots the number of cites received by this work from its publication, on a yearly basis.

Papers citing this work

The following is a non-exhaustive list of papers that cite this work:

[1] L. Antoni, S. Krajči, and O. Krídlo. “Representation of fuzzy subsets by Galois connections”. In: Fuzzy Sets and Systems 326 (Nov. 2017), p. 52–68. ISSN: 0165-0114. DOI: 10.1016/j.fss.2017.05.020. URL: http://dx.doi.org/10.1016/j.fss.2017.05.020.

[2] F. Chacón-Gómez, M. E. Cornejo, J. Medina, et al. “Rough set decision algorithms for modeling with uncertainty”. In: Journal of Computational and Applied Mathematics 437 (Feb. 2024), p. 115413. ISSN: 0377-0427. DOI: 10.1016/j.cam.2023.115413. URL: http://dx.doi.org/10.1016/j.cam.2023.115413.

[3] M. E. Cornejo, L. Fariñas del Cerro, and J. Medina. “Multi-adjoint lattice logic and truth-stressing hedges”. In: Fuzzy Sets and Systems 445 (Sep. 2022), p. 43–65. ISSN: 0165-0114. DOI: 10.1016/j.fss.2022.03.006. URL: http://dx.doi.org/10.1016/j.fss.2022.03.006.

[4] M. E. Cornejo, L. Fariñas del Cerro, and J. Medina. “Multi-adjoint Lattice Logic. Properties and Query Answering”. In: Progress in Artificial Intelligence. Springer International Publishing, 2022, p. 701–712. ISBN: 9783031164743. DOI: 10.1007/978-3-031-16474-3_57. URL: http://dx.doi.org/10.1007/978-3-031-16474-3_57.

[5] M. E. Cornejo, D. Lobo, and J. Medina. “Extended multi-adjoint logic programming”. In: Fuzzy Sets and Systems 388 (Jun. 2020), p. 124–145. ISSN: 0165-0114. DOI: 10.1016/j.fss.2019.03.016. URL: http://dx.doi.org/10.1016/j.fss.2019.03.016.

[6] M. E. Cornejo, D. Lobo, and J. Medina. “Measuring the Incoherent Information in Multi-adjoint Normal Logic Programs”. In: Advances in Fuzzy Logic and Technology 2017. Springer International Publishing, Sep. 2017, p. 521–533. ISBN: 9783319668307. DOI: 10.1007/978-3-319-66830-7_47. URL: http://dx.doi.org/10.1007/978-3-319-66830-7_47.

[7] M. E. Cornejo, D. Lobo, and J. Medina. “Relating Multi-Adjoint Normal Logic Programs to Core Fuzzy Answer Set Programs from a Semantical Approach”. In: Mathematics 8.6 (Jun. 2020), p. 881. ISSN: 2227-7390. DOI: 10.3390/math8060881. URL: http://dx.doi.org/10.3390/math8060881.

[8] M. E. Cornejo and J. Medina. “Right Adjoint Algebras Versus Operator Left Residuated Posets”. In: Rough Sets. Springer International Publishing, 2021, p. 180–191. ISBN: 9783030873349. DOI: 10.1007/978-3-030-87334-9_15. URL: http://dx.doi.org/10.1007/978-3-030-87334-9_15.

[9] J. C. Díaz-Moreno, J. Medina, and J. R. Portillo. “Fuzzy logic programs as hypergraphs. Termination results”. In: Fuzzy Sets and Systems 445 (Sep. 2022), p. 22–42. ISSN: 0165-0114. DOI: 10.1016/j.fss.2022.02.001. URL: http://dx.doi.org/10.1016/j.fss.2022.02.001.

[10] Y. P. Kondratenko, G. Kondratenko, and I. Sidenko. “Intelligent Decision Support System for Selecting the University-Industry Cooperation Model Using Modified Antecedent-Consequent Method”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. Springer International Publishing, 2018, p. 596–607. ISBN: 9783319914763. DOI: 10.1007/978-3-319-91476-3_49. URL: http://dx.doi.org/10.1007/978-3-319-91476-3_49.

[11] Y. P. Kondratenko, O. V. Kozlov, and O. V. Korobko. “Two Modifications of the Automatic Rule Base Synthesis for Fuzzy Control and Decision Making Systems”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. Springer International Publishing, 2018, p. 570–582. ISBN: 9783319914763. DOI: 10.1007/978-3-319-91476-3_47. URL: http://dx.doi.org/10.1007/978-3-319-91476-3_47.

[12] X. Lv, D. Zhou, Y. Tang, et al. “An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO”. In: Complexity 2018.1 (Jan. 2018). Ed. by L. T. Kóczy. ISSN: 1099-0526. DOI: 10.1155/2018/3942723. URL: http://dx.doi.org/10.1155/2018/3942723.

[13] N. Madrid and M. Ojeda-Aciego. “The f-index of inclusion as optimal adjoint pair for fuzzy modus ponens”. In: Fuzzy Sets and Systems 466 (Aug. 2023), p. 108474. ISSN: 0165-0114. DOI: 10.1016/j.fss.2023.01.009. URL: http://dx.doi.org/10.1016/j.fss.2023.01.009.