<p>For a complete residuated lattice <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>, the aim of this paper is to develop a general framework of <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-valued rough sets. A pair of approximation operators derived from <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-valued neighborhood systems (<InlineEquation ID="IEq6"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-VNSs for short) are constructed and discussed. It is proved that these operators include, as special cases, <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-valued relation (and Zhao’s <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-fuzzy generalized neighborhood system)-based approximation operators. Furthermore, special cases of <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-VNS and their corresponding approximation operators are discussed and characterized. Based on such <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-valued approximation operators (<InlineEquation ID="IEq11"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-VApprXOs for short), we define a method that allows us to measure the “quality" of <InlineEquation ID="IEq12"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-valued approximations of <InlineEquation ID="IEq13"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-subsets. Such measures are interpreted in terms of lattice-valued fuzzy topologies on <InlineEquation ID="IEq14"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-sets. Finally, the relationships between <InlineEquation ID="IEq15"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-VApprXOs based on <InlineEquation ID="IEq16"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-VNS and many valued topologies on <InlineEquation ID="IEq17"> <EquationSource Format="TEX">\({\mathcal {L}}\)</EquationSource> </InlineEquation>-sets are studied.</p>

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An \({\mathcal {L}}\)-valued rough set model based on \({\mathcal {L}}\)-valued neighborhood systems

  • Kamal El-Saady,
  • Ayat A. Temraz

摘要

For a complete residuated lattice \({\mathcal {L}}\) , the aim of this paper is to develop a general framework of \({\mathcal {L}}\) -valued rough sets. A pair of approximation operators derived from \({\mathcal {L}}\) -valued neighborhood systems ( \({\mathcal {L}}\) -VNSs for short) are constructed and discussed. It is proved that these operators include, as special cases, \({\mathcal {L}}\) -valued relation (and Zhao’s \({\mathcal {L}}\) -fuzzy generalized neighborhood system)-based approximation operators. Furthermore, special cases of \({\mathcal {L}}\) -VNS and their corresponding approximation operators are discussed and characterized. Based on such \({\mathcal {L}}\) -valued approximation operators ( \({\mathcal {L}}\) -VApprXOs for short), we define a method that allows us to measure the “quality" of \({\mathcal {L}}\) -valued approximations of \({\mathcal {L}}\) -subsets. Such measures are interpreted in terms of lattice-valued fuzzy topologies on \({\mathcal {L}}\) -sets. Finally, the relationships between \({\mathcal {L}}\) -VApprXOs based on \({\mathcal {L}}\) -VNS and many valued topologies on \({\mathcal {L}}\) -sets are studied.