期刊文献+

带Rough相等关系词的Rough逻辑系统及其推理 被引量:3

Rough Logic Systems with Rough Equality Relation and Its Reasoning
下载PDF
导出
摘要 以公式的定义域集的下和上近似分别相等方法 ,定义了两个Rough逻辑公式Rough相等 ,并以此定义了Rough相等关系词“ =R” ,它不仅比等值词“ ”运算有更多的直观性 ,而且既考虑了可定义的公式 ,也包含了那些在边界线上不可定义或可能可定义的公式 .所以 ,经典逻辑中的隐含式 φ→ ψ被移至Rough逻辑中应当解释为R (d(φ) ) R (d(ψ) )∧R (d(φ) ) R (d(ψ) ) .经典逻辑中的等值式 φ ψ被移至Rough逻辑中应当解释为R (d(φ) ) =R (d(ψ) )∧R (d(φ) ) =R (d(ψ) ) ,其中d(F)是公式F的定义区域 ,它可能是可定义集 ,也可能是不可定义集或Rough集 .这是Rough逻辑与经典逻辑或其它非标准逻辑的重要区别之一 ,将这种Rough相等词“ =R”引入Rough逻辑中 ,因而得到了一些相关的性质和相关的推理规则 .文中建立了带Rough相等关系词“ =R”的Rough逻辑推理系统 。 By rough equality of lower and upper approximatins with respect to the domain of formulas, authors define the rough equality between two logical formulas, thus, defining rough equal relation '=R'. Hence, the operations of '=R' not only bring on more visual than the operations of equivalence '↔', but also include definable formulas in domain and indefinable or possible definable formulas in boundary. An important difference between rough logic and classical logic or other non-standard logic is given. The rough equal relation '=R' is quoted in the rough logic, to have some relative properties and inference rules. Authors establish a rough logical reasoning system with rough equality relation '=R' and prove a few real examples by deductive reasoning in the system.
出处 《计算机学报》 EI CSCD 北大核心 2003年第1期39-44,共6页 Chinese Journal of Computers
基金 国家自然科学基金 ( 60 173 0 5 4) 江西省自然科学基金资助
关键词 Rough相等关系词 Rough逻辑系统 推理 演绎推理 知识表示 人工智能 粗糙集理论 Approximation theory Boundary conditions Inference engines Logic design Rough set theory Theorem proving
  • 相关文献

参考文献9

  • 1[1]Pawlak Z. Rough Sets-Theoretical Aspects of Reasoning about Data. Kluwer: Academic Publishers, 1992
  • 2[2]Chang C L, Lee R C T. Symbolic Logic and Mechanical Theorem Proving. New York: Academic Press, 1973
  • 3[4]Banerjee M, Chakraborty M K. Rough algebra, Institute of Computer Science, Warsaw University of Technology, Warsaw: ICS Research Report 47/93, 1993
  • 4[5]Stepaniuk J. Rough relations and logics. In: Polkowsk L,Skowron A eds. Rough Sets in Knowledge Discover I, Heideherg:Physica Verlag, 1998, 248~260
  • 5[6]Liu Q. λ-Level rough equality relation and the inference of rough paramodulation. In: Ziarko W, Yao Y Y eds. Lecture Notes in Artificial Intelligence 2005. Berlin: Springer-Verlag, 2001,462~469
  • 6[7]Lin T Y, Liu Q. First order rough logic Ⅰ: Approximate reasoning via rough sets. Fundamenta Informaticae, 1996,27(2~3):137~154
  • 7[8]Liu Q. The resolution for rough proposotional logic with lower (L)and upper(H) approximate operators. In:Zhong N, Skow ron A, Ohsuga S eds. Lecture Notes Artificial Intelligence 1711. Berlin:Springer-Verlag, 1999,352~356
  • 8[9]Liu Q. The OI--Resolution of operator rough logic. In:Polkowsk L, Skowron A eds. Lecture Notes Artificial Intelligence 1424. Berlin:Springer Verlag, 1998,432~435
  • 9[12]Nakamara A. Graded modalities in rough logic. In: Polkaowski L, Skowron A eds. Rough Sets in Knowledge Discovery 1.Heidelberg:Physica-Verlag, 1998, 192~208

同被引文献38

  • 1李鸿.粒集及其描述[J].宿州学院学报,2006,21(1):90-93. 被引量:9
  • 2黄兆华,邓毅雄.粒计算及其应用的研究[J].华东交通大学学报,2005,22(5):124-128. 被引量:7
  • 3Tomo Munehisa,Masaki Kobayashi,Haruaki Yamazaki.Cooperative Updating in the Hopfield Model[J].IEEE Trans.Neural Networks,2001,12(9):1243-1251.
  • 4Yan Pingfan,Zhang Changshui.Artificial Neural Networks and Calculation of the Simulating Evolution[M].Beijing:Qinghua University Press,2000.
  • 5Nigel Cross.Descriptive Models of Creative Design:Application to an Example[J].Design Studies,1997,18:427-455.
  • 6John S Gero.Computational Models of Innovative and Creative Design Processes[J].Technological Forecasting and Social Change,2000,64:183-196.
  • 7V V Kryssanov,et al.Understanding Design Fundamentals:How Synthesis and Analysis Drive Creativity,Resulting in Emergence[J].Artificial Intelligence in Engineering,2001,15:329-342.
  • 8Kees Dorst,Nigel Cross.Creativity in the Design Process;Co-evolution of Problem-solution[J].Design Studies,2001,22:425-437.
  • 9Koichi Hori.Concept Space Connected to Knowledge Processing for Supporting Creative Design[J].Knowledge-based Systems,1997,(10):29-35.
  • 10Chiara Ghidini,Fausto Giunchiglia.Local Models Semantics,or Contextual Reasoning=Locality+Compatibility[J].Artificial Intelligence,2001,127:221-259.

引证文献3

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部