This paper is a contribution to the development of model theory of fuzzylogic in narrow sense. We consider a formal system Ev(L) of fuzzylogic that has evaluatedsyntax, i.e. axioms need not be fully convincing and ...
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This paper is a contribution to the development of model theory of fuzzylogic in narrow sense. We consider a formal system Ev(L) of fuzzylogic that has evaluatedsyntax, i.e. axioms need not be fully convincing and so, they form a fuzzy set only. Consequently, formulas are provable in some general degree. A generalization of Godel's completeness theorem does hold in Ev(L). The truth values form an MV-algebra that is either finite or Lukasiewicz algebra on [0, 1]. The classical omitting types theorem states that given a formal theory T and a set Sigma(x(1),...,x(n)) of formulas with the same free variables, we can construct a model of T which omits Sigma, i.e. there is always a formula from Sigma not true in it. In this paper, we generalize this theorem for Ev(L), that is, we prove that if T is a fuzzy theory and Sigma(x(1),..., x(n)) forms a fuzzy set, then a model omitting E also exists. We will prove this theorem for two essential cases of Ev(L): either EVL has logical (truth) constants for al I truth values, or it has these constants for truth values from[0, 1] boolean AND Q only. (c) 2006 WILEYNCH Verlag GmbH & Co. KGaA, Weinheim.
This paper reports a real application whose task was to recognize characters printed on metal ingots. The problem is that surface of ingots is very uneven - ingots are hot or cold, cut by rough instrument, the printin...
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This paper reports a real application whose task was to recognize characters printed on metal ingots. The problem is that surface of ingots is very uneven - ingots are hot or cold, cut by rough instrument, the printing machine can be worn down, etc. In this paper, we present two original recognition methods: the first one is based on application of mathematical fuzzylogic and the second one is based on representation of an image by a fuzzy-valued function. Results of these methods are compared with a simple neural network classifier and few other common methods. (C) 2014 Elsevier B.V. All rights reserved.
This paper is a contribution to the discussion of the problem, whether there is a fuzzylogic that can be considered as the real fuzzylogic. We give reasons for taking IMTL, BL, L Pi and Ev(L) (fuzzylogic with evalu...
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This paper is a contribution to the discussion of the problem, whether there is a fuzzylogic that can be considered as the real fuzzylogic. We give reasons for taking IMTL, BL, L Pi and Ev(L) (fuzzy logic with evaluated syntax) as those fuzzylogics that should be indeed taken as the real fuzzylogics. (c) 2005 Elsevier B.V. All rights reserved.
This paper is a contribution to the discussion of the problem, whether there is a fuzzylogic that can be considered as the real fuzzylogic. We give reasons for taking IMTL, BL, L Pi and Ev(L) (fuzzylogic with evalu...
详细信息
This paper is a contribution to the discussion of the problem, whether there is a fuzzylogic that can be considered as the real fuzzylogic. We give reasons for taking IMTL, BL, L Pi and Ev(L) (fuzzy logic with evaluated syntax) as those fuzzylogics that should be indeed taken as the real fuzzylogics. (c) 2005 Elsevier B.V. All rights reserved.
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