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L-fuzzy rough approximation operators via three new types of L-fuzzy relations

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Abstract

Considering L being a frame with an order-reversing involution, three new types of L-fuzzy relations are introduced, which are called mediate, Euclidean and adjoint L-fuzzy relations, respectively. By means of these L-fuzzy relations, three types of L-fuzzy rough approximation operators are constructed and their connections with those three L-fuzzy relations are examined, respectively. An axiomatic approach is adopted to deal with L-fuzzy rough approximation operators. It is shown that each type of L-fuzzy rough approximation operators corresponding to mediate, Euclidean and adjoint L-fuzzy relations as well as their compositions can be characterized by single axioms.

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References

  • Bao YL, Yang HL, She YH (2018) Using one axiom to characterize L-fuzzy rough approximation operators based on residuated lattices. Fuzzy Sets Syst 336:87–115

    MathSciNet  MATH  Google Scholar 

  • Bělohlávek R (2004) Concept lattics and order in fuzzy logic. Ann Pure Appl Logic 128:277–298

    MathSciNet  MATH  Google Scholar 

  • Dubois D, Prade H (1990) Rough fuzzy sets and fuzzy rough sets. Int J Gen Syst 17:191–209

    MATH  Google Scholar 

  • Goguen JA (1967) \(L\)-subsets. J Math Anal Appl 18:145–174

    MathSciNet  MATH  Google Scholar 

  • Kryszkiewicz M (1998) Rough set approach to incomplete information systems. Inf Sci 112:39–49

    MathSciNet  MATH  Google Scholar 

  • Lin TY (1992) Topological and fuzzy rough sets. In: Slowinski R (ed) Decision support by experience-application of the rough set theory. Kluwer, Boston, pp 287–304

    Google Scholar 

  • Liu GL (2006) The axiomatization of the rough set upper approximation operations. Fundamenta Informaticae 69(23):331–342

    MathSciNet  MATH  Google Scholar 

  • Liu GL (2013) Using one axiom to characterize rough set and fuzzy rough set approximations. Inf Sci 223:285–296

    MathSciNet  MATH  Google Scholar 

  • Liu GL, Sai Y (2010) Invertible approximation operators of generalized rough sets and fuzzy rough sets. Inf Sci 180:2221–2229

    MathSciNet  MATH  Google Scholar 

  • Mi JS, Zhang WX (2004) An axiomatic characterization of a fuzzy generalization of rough sets. Inf Sci 160:235–249

    MathSciNet  MATH  Google Scholar 

  • Mi JS, Leung Y, Wu WZ (2005) An uncertainty measure in partition-based fuzzy rough sets. Int J Gen Syst 34:77–90

    MathSciNet  MATH  Google Scholar 

  • Mi JS, Leung Y, Zhao HY, Feng T (2008) Generalized fuzzy rough sets determined by a triangular norm. Inf Sci 178:3203–3213

    MathSciNet  MATH  Google Scholar 

  • Morsi NN, Yakout MM (1998) Axiomatics for fuzzy rough sets. Fuzzy Sets Syst 100:327–342

    MathSciNet  MATH  Google Scholar 

  • Pang B (2014) On \((L, M)\)-fuzzy convergence spaces. Fuzzy Sets Syst 238:46–70

    MATH  Google Scholar 

  • Pang B (2017a) Degrees of separation properties in stratified \(L\)-generalized convergence spaces using residual implication. Filomat 31(20):6293–6305

    MathSciNet  Google Scholar 

  • Pang B (2017b) Stratified \(L\)-ordered filter spaces. Quaestiones Mathematicae 40(5):661–678

    MathSciNet  MATH  Google Scholar 

  • Pang B (2018) Categorical properties of \(L\)-fuzzifying convergence spaces. Filomat 32(11):4021–4036

    MathSciNet  Google Scholar 

  • Pang B, Shi F-G (2017) Subcategories of the category of \(L\)-convex spaces. Fuzzy Sets Syst 313:61–74

    MathSciNet  MATH  Google Scholar 

  • Pang B, Shi F-G (2018) Strong inclusion orders between \(L\)-subsets and its applications in \(L\)-convex spaces. Quaestiones Mathematicae 41(8):1021–1043

    MathSciNet  MATH  Google Scholar 

  • Pang B, Shi F-G (2019) Fuzzy counterparts of hull operators and interval operators in the framework of \(L\)-convex spaces. Fuzzy Sets Syst 369:20–39

    MathSciNet  MATH  Google Scholar 

  • Pang B, Xiu Z-Y (2018a) Lattice-valued interval operators and its induced lattice-valued convex structures. IEEE Trans Fuzzy Syst 26(3):1525–1534

    Google Scholar 

  • Pang B, Xiu Z-Y (2018b) Stratified \(L\)-prefilter convergence structures in stratified \(L\)-topological spaces. Soft Comput 22:7539–7551

    MATH  Google Scholar 

  • Pang B, Xiu Z-Y (2019) An axiomatic approach to bases and subbases in \(L\)-convex spaces and their applications. Fuzzy Sets Syst 369:40–56

  • Pang B, Zhao Y (2016) Characterizations of \(L\)-convex spaces. Iran J Fuzzy Syst 13(4):51–61

    MathSciNet  MATH  Google Scholar 

  • Pang B, Zhao Y, Xiu Z-Y (2018) A new definition of order relation for the introduction of algebraic fuzzy closure operators. Int J Approx Reason 92:87–96

    MathSciNet  MATH  Google Scholar 

  • Pang B, Mi J-S, Xiu Z-Y (2019) \(L\)-fuzzifying approximation operators in fuzzy rough sets. Inf Sci 480:14–33

    MathSciNet  Google Scholar 

  • Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11:341–356

    MATH  Google Scholar 

  • Radzikowska AM, Kerre EE (2002) A comparative study of fuzzy rough sets. Fuzzy Sets Syst 126:137–155

    MathSciNet  MATH  Google Scholar 

  • She Y, Wang G (2009) An axiomatic approach of fuzzy rough sets based on residuated lattices. Comput Math Appl 58:189–201

    MathSciNet  MATH  Google Scholar 

  • Thiele H (2000) On axiomatic characterizations of crisp approximation operators. Inf Sci 129:221–226

    MATH  Google Scholar 

  • Thiele H (2001) On axiomatic characterization of fuzzy approximation operators II. The rough fuzzy set based case. In: Proceedings of the 31st IEEE international symposium on multiple-valued logic, pp 330–335

  • Wang CY (2018) Single axioms for lower fuzzy rough approximation operators determined by fuzzy implications. Fuzzy Sets Syst 336:116–147

    MathSciNet  MATH  Google Scholar 

  • Wu WZ, Zhang WX (2004) Constructive and axiomatic approaches of fuzzy approximation operators. Inf Sci 159:233–254

    MathSciNet  MATH  Google Scholar 

  • Wu WZ, Leung Y, Shao MW (2013) Generalized fuzzy rough approximation operators determined by fuzzy implicators. Int J Approx Reason 54:1388–1409

    MathSciNet  MATH  Google Scholar 

  • Wu WZ, Li TJ, Gu SM (2015) Using one axiom to characterize fuzzy rough approximation operators determined by a fuzzy implication operator. Fundamenta Informaticae 142:87–104

    MathSciNet  MATH  Google Scholar 

  • Wu WZ, Xu YH, Shao MW, Wang GY (2016) Axiomatic characterizations of \((S, T)\)-fuzzy rough approximation operators. Inf Sci 334–335:17–43

    MATH  Google Scholar 

  • Xiu Z-Y, Pang B (2017) \(M\)-fuzzifying cotopological spaces and \(M\)-fuzzifying convex spaces as \(M\)-fuzzifying closure spaces. J Intell Fuzzy Syst 33:613–620

    MATH  Google Scholar 

  • Xiu Z-Y, Pang B (2018a) A degree approach to special mappings between \(M\)-fuzzifying convex spaces. J Intell Fuzzy Syst 35:705–716

    Google Scholar 

  • Xiu Z-Y, Pang B (2018b) Base axioms and subbase axioms in \(M\)-fuzzifying convex spaces. Iran J Fuzzy Syst 15(2):75–87

    MathSciNet  MATH  Google Scholar 

  • Yang X-P (2007) Minimization of axiom sets on fuzzy approximation operators. Inf Sci 177:3840–3854

    MathSciNet  MATH  Google Scholar 

  • Yao YY (1996) Two views of the theory of rough sets infinite universe. Int J Approx Reason 15:291–317

    MATH  Google Scholar 

  • Yao YY (1998a) Constructive and algebraic methods of the theory of rough sets. Inf Sci 109:21–47

    MathSciNet  MATH  Google Scholar 

  • Yao YY (1998b) Relational interpretations of neighborhood operators and rough set approximation operators. Inf Sci 111:239–259

    MathSciNet  MATH  Google Scholar 

  • Yao W, She Y, Lu L-X (2019) Metric-based \(L\)-fuzzy rough sets: approximation operators and definable sets. Knowl Based Syst 163:91–102

    Google Scholar 

  • Zhu W (2007) Generalized rough sets based on relations. Inf Sci 177(22):4997–5011

    MathSciNet  MATH  Google Scholar 

  • Zhu W, Wang FY (2007) On three types of covering-based rough sets. IEEE Trans Knowl Data Eng 19(8):1131–1144

    Google Scholar 

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Acknowledgements

The authors would like to express their sincere thanks to the Editors and anonymous reviewers for their most valuable comments and suggestions in improving this paper greatly. The first author thanks the National Natural Science Foundation of China (No. 11701122) and Beijing Institute of Technology Research Fund Program for Young Scholars (No. 2019CX04111). The second author thanks the National Natural Science Foundation of China (No. 61573127). The third author thanks the National Natural Science Foundation of China (No. 11871189).

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Correspondence to Bin Pang.

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Communicated by A. Di Nola.

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Pang, B., Mi, JS. & Yao, W. L-fuzzy rough approximation operators via three new types of L-fuzzy relations. Soft Comput 23, 11433–11446 (2019). https://doi.org/10.1007/s00500-019-04110-3

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