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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Specially, by using the notions of maximal and normal fuzzy positive implicative filters, we show that under certain conditions a fuzzy positive implicative filter is two-valued and takes the values 0 and 1.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we discuss chain conditions of fuzzy positive implicative filters of BL-algebras.
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Key Findings & Data:In this paper, we discuss chain conditions of fuzzy positive implicative filters of BL-algebras.
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Conclusion & Impact:Specially, by using the notions of maximal and normal fuzzy positive implicative filters, we show that under certain conditions a fuzzy positive implicative filter is two-valued and takes the values 0 and 1.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:BL-algebra · Positive implicative filter · Normal fuzzy positive implicative filter
Abstract
In this paper, we discuss chain conditions of fuzzy positive implicative filters of BL-algebras. Specially, by using the notions of maximal and normal fuzzy positive implicative filters, we show that under certain conditions a fuzzy positive implicative filter is two-valued and takes the values 0 and 1.
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Cite This Article
Hedayati, H., Jun, Y. (2011). CHAIN CONDITIONS ON FUZZY POSITIVE IMPLICATIVE FILTERS OF BL-ALGEBRAS. Hacettepe Journal of Mathematics and Statistics, Volume: 40 Issue: 6. https://ajindex.com/articles/1403593