• 제목/요약/키워드: normal fuzzy BE-algebra

검색결과 3건 처리시간 0.015초

FUZZY BE-ALGEBRAS

  • Ahn, Sun-Shin;Kim, Young-Hee;So, Keum-Sook
    • Journal of applied mathematics & informatics
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    • 제29권3_4호
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    • pp.1049-1057
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    • 2011
  • In this paper, we fuzzify the concept of BE-algebras, investigate some of their properties. We give a characterization of fuzzy BE-algebras, and discuss a characterization of fuzzy BE-algebras in terms of level subalgebras of fuzzy BE-algebras.

ON FUZZY FANTASTIC FILTERS OF LATTICE IMPLICATION ALGEBRAS

  • Jun, Young-Bae;Song, Seok-Zun
    • Journal of applied mathematics & informatics
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    • 제14권1_2호
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    • pp.137-155
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    • 2004
  • Fuzzification of a fantastic filter in a lattice implication algebra is considered. Relations among a fuzzy filter, a fuzzy fantastic filter, and fuzzy positive implicative filter are stated. Conditions for a fuzzy filter to be a fuzzy fantastic filter are given. Using the notion of level set, a characterization of a fuzzy fantastic filter is considered. Extension property for fuzzy fantastic filters is established. The notion of normal/maximal fuzzy fantastic filters and complete fuzzy fantastic filters is introduced, and some related properties are investigated.

DEGREE OF VERTICES IN VAGUE GRAPHS

  • BORZOOEI, R.A.;RASHMANLOU, HOSSEIN
    • Journal of applied mathematics & informatics
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    • 제33권5_6호
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    • pp.545-557
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    • 2015
  • A vague graph is a generalized structure of a fuzzy graph that gives more precision, flexibility and compatibility to a system when compared with systems that are designed using fuzzy graphs. In this paper, we define two new operation on vague graphs namely normal product and tensor product and study about the degree of a vertex in vague graphs which are obtained from two given vague graphs G1 and G2 using the operations cartesian product, composition, tensor product and normal product. These operations are highly utilized by computer science, geometry, algebra, number theory and operation research. In addition to the existing operations these properties will also be helpful to study large vague graph as a combination of small, vague graphs and to derive its properties from those of the smaller ones.