In this paper, we introduce the notions of join preserving maps using distance spaces instead of fuzzy partially ordered sets on complete co-residuated lattices. We investigate the properties of Alexandrov fuzzy topologies, distance functions, join preserving maps and upper approximation operators. Furthermore, we study their relations and examples. We prove that there exist isomorphic categories and Galois correspondences between their categories.
AdámekJ., HerrlichH. and StreckerG.E., Abstract and Concrete Categories, Wiley, New York, (1990).
2.
BaoY.L., YangH.L. and SheY.H., Using one axiom to characterize L-fuzzy rough approximation operators based on residuated lattices, Fuzzy Sets Syst336 (2018), 87–115.
3.
BělohlávekR., Similarity relations in concept lattices, J Logic and Computation10(6) (2000), 823–845.
4.
BělohlávekR., Fuzzy Relational Systems, Kluwer Academic Publishers, New York, (2002).
HájekP., Metamathematices of Fuzzy Logic, Kluwer Academic Publishers, Dordrecht, (1998).
9.
HanS.E., KimI.S. and S̆ostakA.P., On approximate-type systems generated by L-relations, Information Sciences281 (2014), 8–20.
10.
HerrlichH. and HušekM., Galois connections categorically, J Pure Appl Algebra68 (1990), 165–180.
11.
HöhleU. and KlementE.P., Non-classical logic and their applications to fuzzy subsets, Kluwer Academic Publishers, Boston, (1995).
12.
HöhleU. and RodabaughS.E., Mathematics of Fuzzy Sets, Logic, Topology and Measure Theory, The Handbooks of Fuzzy Sets Series, Kluwer Academic Publishers, Dordrecht, (1999).
13.
JunshengQ. and QingH.B., On (⊙, &) -fuzzy rough sets based on residuated and co-residuated lattices, Fuzzy Sets Syst336 (2018), 54–86.
14.
KimY.C., Join preserving maps, fuzzy preorders and Alexandrov fuzzy topologies, International Journal of Pure and Applied Mathematics92(5) (2014), 703–718.
15.
KimY.C., Join-meet preserving maps and Alexandrov fuzzy topologies, Journal of Intelligent and Fuzzy Systems28 (2015), 457–467.
16.
KoJ.M. and KimY.C., Fuzzy complete lattices, Alexandrov-fuzzy topologies and fuzzy rough sets, Journal of Intelligent and Fuzzy Systems38 (2020), 3253–3266.
17.
KoJ.M. and KimY.C., Preserving maps and approximation operators in complete co-residuated lattices, J Korean Inst Intell Syst30(5) (2020), 389–398.
18.
LaiH. and ZhangD., Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory, Int J Approx Reasoning50 (2009), 695–707.
19.
MaZ.M. and HuB.Q., Topological and lattice structures of Lfuzzy rough set determined by lower and upper sets, Inf Sci218 (2013), 194–204.
PawlakZ., Rough sets: Theoretical Aspects of Reasoning about Data, System Theory, Knowledge Engineering and Problem Solving, Kluwer Academic Publishers, Dordrecht, The Netherlands (1991).
22.
PeiZ., PeiD. and ZhengL., Topology vs generalized rough sets, Int J Approx Reason52 (2011), 231–239.
23.
QiaoJ. and HuB.Q., A short note on L-fuzzy approximation spaces and L-fuzzy pretopological spaces, Fuzzy Sets Syst312 (2017), 126–134.
24.
RadzikowskaA.M. and KerreE.E., A comparative study of fuzy rough sets, Fuzzy Sets Syst126 (2002), 137–155.
25.
RamadanA.A., ElkordyE.H. and El-DarderyM., L-fuzzy approximition spaces and L-fuzzy toplogical spaces, Ir J Fuzzy Syst13(1) (2016), 115–129.
26.
RodabaughS.E. and KlementE.P., Topological and Algebraic Structures In Fuzzy Sets, The Handbook of Recent Developments in the Mathematics of Fuzzy Sets, Kluwer Academic Publishers, Boston, Dordrecht, London, (2003).
27.
SheY.H. and WangG.J., An axiomatic approach of fuzzy rough sets based on residuated lattices, Computers and Mathematics with Applications58 (2009), 189–201.
28.
TurunenE., Mathematics Behind Fuzzy Logic, A Springer-Verlag Co., (1999).
29.
WangC.Y. and HuB.Q., Granular variable precision fuzzy rough sets with general fuzzy relations, Fuzzy Sets Syst275 (2015), 39–57.
30.
WangC.Y., Topological structures of L-fuzzy rough sets and similarity sets of L-fuzzy relations, Int J Approx Reason83 (2017), 160–175.