Fuzzy Anti-2-Normed Linear Space
نویسنده
چکیده
Fuzzy set theory is a useful tool to describe situations in which the data are imprecise or vague. Fuzzy sets handle such situation by attributing a degree to which a certain object belongs to a set. The idea of fuzzy norm was initiated by Katsaras in [1984]. Felbin [1992] defined a fuzzy norm on a linear space whose associated fuzzy metric is of Kaleva and Seikkala type [1984]. Cheng and Mordeson [1994] introduced an idea of a fuzzy norm on a linear space whose associated metric is Kramosil and Michalek type [1975].
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