A new I-vector topology generated by a fuzzy norm

  • Authors:
  • Guo-Hua Xu;Jin-Xuan Fang

  • Affiliations:
  • Department of Mathematics, Nanjing Normal University, Nanjing, Jiangsu 210097, China;Department of Mathematics, Nanjing Normal University, Nanjing, Jiangsu 210097, China

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2007

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Abstract

This paper is devoted to the research for a topological structure for I-vector on the fuzzy normed linear space (in the sense of Felbin). By using a natural method, a new I-vector topology on the fuzzy normed linear space is constructed. We study some of its properties and prove that the fuzzy normed linear space is a locally convex I-topological vector space with respect to the I-topology under a proper condition. We give a necessity and sufficienct condition for a fuzzy normed linear space to be Hausdorff and weakly Hausdorff with respect to the I-vector topology respectively. In addition, we also discuss the relations between this I-vector topology and other two known I-vector topologies on the fuzzy normed linear space. Lastly, we give some canonical examples of fuzzy normed linear spaces using this I-vector topology.