In this paper, we investigate categories of fuzzy preorders, approximating operators and Alexandrov topologies in complete residuated lattices. In fact, categories of fuzzy preorders, approximating operators and Alexandrov topologies are isomorphic. We give their examples.
BělohlávekR., Fuzzy Relational Systems, Kluwer Academic Publishers, New York, 2002.
2.
EļkinsA., HanS.-E. and ŠostakA., Variable-range approximate systems induced by many-valued L-relations, Communication in computers and information sciences, 444, part 3, 2014, pp. 41–50.
3.
HájekP., Metamathematices of Fuzzy Logic, Kluwer Academic Publishers, Dordrecht, 1998.
4.
HanS.-E., KimI.-S. and ŠostakA.On approximate-type systems generated by L-relations, Information Sciences281 (2014), 8–20.
5.
HöhleU. and KlementE.P., Non-classical Logic and Their Applications to Fuzzy Subsets, Kluwer Academic Publishers, Boston, 1995.
6.
HöhleU. and RodabaughS.E., Mathematics of Fuzzy Sets: Logic, Topology, and Measure Theory, The Handbooks of Fuzzy Sets Series 3, Kluwer Academic Publishers, Boston, 1999.
7.
JinmingF., I-fuzzy Alexandrov topologies and specialization orders, Fuzzy Sets and Systems158 (2007), 2359–2374.
8.
KimY.C., Alexandrov L-topologies, International Journal of Pure and Applied Mathematics93(2) (2014), 165–179.
9.
KimY.C., Join preserving maps, fuzzy preorders and Alexandrov fuzzy topologies, International Journal of Pure and Applied Mathematics92(5) (2014), 703–718.
10.
KimY.C., Join-meet preserving maps and Alexandrov fuzzy topologies, Journal of Intelligent and Fuzzy Systems28 (2015), 457–467.
11.
KimY.C., Join-meet preserving maps and fuzzy preorders, Journal of Intelligent and Fuzzy Systems28 (2015), 1089–1097.
12.
KimY.C. and KimY.S., L-approximation spaces and-fuzzy quasi-uniform spaces, Information Sciences179 (2009), 2028–2048.
13.
KortelainenJ., On relation between modified sets, topological spaces and rough sets, Fuzzy Sets and Systems61 (1994), 91–95.
14.
LaiH. and ZhangD., Fuzzy preorder and fuzzy topology, Fuzzy Sets and Systems157 (2006), 1865–1885.
15.
LaiH. and ZhangD., Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory, Int J Approx Reasoning50 (2009), 695–707.
16.
PawlakZ., Rough sets, Int J Comput Inf Sci11 (1982), 341–356.
17.
PawlakZ., Rough probability, Bull Pol Acad Sci Math32 (1984), 607–615.
18.
QinK. and PeiZ., On the topological properties of fuzzy rough sets, Fuzzy Sets and Systems151 (2005), 601–613.
19.
QinK. and PeiZ., Generalizied rough sets bases on reflexive and transitive relations, Information Sciences178 (2008), 4143–4141.
20.
QiuD.W., Automata theory bases on complete residuated lattice-valued logic, Science in China (Series F)44 (2001), 419–429.
21.
RadzikowskaA.M. and KerreE.E., A comparative study of fuzzy rough sets, Fuzzy Sets and Systems126 (2002), 137–155.
22.
SheY.H. and WangG.J., An axiomatic approach of fuzzy rough sets based on residuated lattices, Computers and Mathematics with Applications58 (2009), 189–201.
23.
ŠostakA., Towards the theory of M-approximate systems: Fundamentals and examples, Fuzzy Sets and Systems161 (2010), 2440–2461.
24.
ŠostakA., Towards the theory of approximate systems: Variable range categories, Proceedings of ICTA2011, Islamabad, Pakistan, Cambridge University Publ., 2012, pp. 265–284.
25.
SrivastavaA.K. and TiwariS.P., On relationships among fuzzy approximation operators, fuzzy topology, and fuzzy automata, Fuzzy Sets and Systems138 (2003), 197–204.
26.
StamenkovićA., ĆirićM. and IgnjatovićJ., Reduction of fuzzy automata by means of fuzzy quasi-orders, Information Sciences178 (2014), 168–198.
27.
TiwariS.P. and SrivastavaA.K., Fuzzy rough sets, fuzzy preorders and fuzzy topologies, Fuzzy Sets and Systems210 (2013), 63–68.
28.
WardM. and DilworthR.P., Residuated lattices, Trans Amer Math Soc45 (1939), 335–354.
29.
ZhangQ.Y. and FanL., Continuity in quantitive domains, Fuzzy Sets and Systems154 (2005), 118–131.
30.
ZhangQ.Y. and XieW.X., Fuzzy complete lattices, Fuzzy Sets and Systems160 (2009), 2275–2291.
31.
MaZ.M. and HuB.Q., Topological and lattice structures of L-fuzzy rough set determined by lower and upper sets, Information Sciences218 (2013), 194–204.