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Applied Mathematics A Journal of Chinese Universities  2016, Vol. 31 Issue (2): 233-247    DOI:
    
Fuzzy filters theory of residuated lattices
LIU Chun-hui
Department of Mathematics and Statistics, Chifeng University, Chifeng 024001, China
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Abstract  The problem of fuzzy filters in residuated lattices is deeply studied by using the principle and method of fuzzy sets. Three new notions of fuzzy prelinear, divisible and Glivenko filters are introduced in residuated lattices. Some of their properties and characterizations are given. Relations among these new fuzzy filters, fuzzy positive implicative filter, fuzzy Boolean filter, fuzzy MV filter, and fuzzy regular filter are discussed systematically. It is proved that a fuzzy filter is a fuzzy MV filter if and only if it is both a fuzzy regular filter and a fuzzy divisible filter.

Key wordsresiduated lattice      fuzzy filter      fuzzy prelinear filter      fuzzy divisible filter      fuzzy Glivenko filter     
Received: 18 May 2015      Published: 17 May 2018
CLC:  O141.1  
  O153.1  
Cite this article:

LIU Chun-hui. Fuzzy filters theory of residuated lattices. Applied Mathematics A Journal of Chinese Universities, 2016, 31(2): 233-247.

URL:

http://www.zjujournals.com/amjcua/     OR     http://www.zjujournals.com/amjcua/Y2016/V31/I2/233


剩余格的模糊滤子理论

运用模糊集的方法和原理进一步深入研究剩余格的滤子问题. 在剩余格中引入了模糊预线性滤子, 模糊可除滤子和模糊Glivenko滤子三类新的模糊滤子概念, 给出了它们的若干性质和等价刻画. 系统讨论了这三类模糊滤子以及模糊正关联滤子,模糊Boolean滤子, 模糊MV滤子和模糊正则滤子间的相互关系, 证明了一个模糊滤子为模糊MV滤子当且仅当它既是模糊正则滤子又是模糊可除滤子的结论.

关键词: 剩余格,  模糊滤子,  模糊预线性滤子,  模糊可除滤子,  模糊Glivenko滤子 
[1] LI Fang, PEI Dao-wu. Multiple fuzzy implications and novel methods to generate fuzzy implications[J]. Applied Mathematics A Journal of Chinese Universities, 2016, 31(4): 467-475.