Smooth preuniform and preproximity spaces
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Abstract Fuzzy sets and fuzzy logic are very suited to interpret every day life sentences. Fuzzy interpretations are defined with the use of membership functions whose role is simply to give a kind of graphical, visual support to help us to capture the meaning. We think that generally membership values are not very important, but only some characteristics of membership functions have to be kept. We think that monotonic relations between degrees with which some properties are satisfied is an important characteristic. We translate in this sense axioms corresponding to preuniform structures and preproximity structures. Contrary to fuzzy extensions, like fuzzy topology for instance, which generally keep the original axioms but adapt few of them to deal with fuzzy sets, our approach induce much more transformations. Finally we study how classic constructions relating these concepts can be translated in this framework.
[1] R. Badard. Fuzzy preuniform structures and the structures they induce. 1. Main results , 1984 .
[2] A. Ramadan,et al. Fuzzy smooth preproximity spaces , 1989 .
[3] A. Katsaras,et al. Fuzzy proximity spaces , 1979 .
[4] C. L. Chang,et al. Fuzzy topological spaces , 1968 .
[5] A. Katsaras,et al. On fuzzy proximity spaces , 1980 .