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[1]A.P.°¨¸¦¥§©_½s¡A¦È³Õ¡A·¨µµÜ¡AÁúªL¦Xµ¥Ä¶¡A»y¨¥õ¾Ç[M]¡A°Ó°È¦L®ÑÀ]¡A¥_¨Ê¡A1998¡A²Ä81¡Ð126¶
[2]ÀÙ¸sªk®vµÛ¡A¡m¿ë¤¤Ãä½×¡n±´¨s[EB/OL].¡AAvailable
in http://jiqun.com/dispfile.php?id=4037.
[3]Ù±ç±d¿ï½s¡AJ¶ëº¸¿ï¶°[M]¡A¤W®ü¤TÁp®Ñ©±¡A1997¦~11¤ë
[4]¶î¬ö«G¥D½s¡A»y¨¥õ¾Ç¦WµÛ¿ï¿è[M]¡A¥Í¬¡Åª®Ñ·sª¾¤TÁp®Ñ©±¡A1988,361¶
[5]G.HamiltonµÛ,Àd¦p·¬Ä¶.¼Æ¾Ç®aªºÅÞ¿è[M].°Ó°È¦L®ÑÀ].1989.8,137¶
[6]Trong Wu, Rough Number Structure and Computation[J]., Proc. of The Third International Workshop on Rough Sets and Soft
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Why is snow white?
ZHUANG Chao-hui
(Inst.
of Software of Computer Science Dept. of
Abstract¡GIn this paper,
the semantic conception of truth of Tarski is considered critically.
Why is snow white? To think about this problem, a possible environment,
where we talk about "snow is white", is put forward. >From this
example, we get the following ideas: that the presentation and validation of the
sentence are made by mankind, and that words such as "snow" and
"white" are usually not accurate, but fuzzy.
More generally, we get two results, since, from the perspective of
phenomenology, both syntax and semantics are made by mind.
In this context, a new understanding about the Identity Paradox, which is
provided by Kripke in "Identity and Necessity", is given. In addition,
the classical equality axioms are adapted to fuzzy equality.
In the classical equality system, x is same as y if and only if x and y
function equally in all functions and predicates. But in the fuzzy equality
system, x is same as y if and only if x and y function equally just in some
functions and predicates. Arising from this, we find some applications in fuzzy
computation.
Key
words¡G
Semantics of Tarski; Fuzzy Equality System;
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