Abstract
The notion of lattice has a wide variety of applications in the areas of physical sciences, communication systems, and information analysis. Fuzzy set theory, with its proximity to a a multitude of areas closely related to AI, provides an alternative to the traditional concept of set membership. Nanda[4] proposed the concept of fuzzy lattice, using the notion of fuzzy partial ordering. But after a critical study, it has been observed that his definition contains some redundency. As a consequence of this observation, we present a modified definition of fuzzy lattice in this paper. . . .
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Chakrabarty, K. (2001). On Fuzzy Lattice. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_28
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DOI: https://doi.org/10.1007/3-540-45554-X_28
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