模糊析取和合取正则形式:区间值模糊技术的基础

1.BURHAN Turksen
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引用次数: 1

摘要

模糊析取正则形式和合取正则形式,分别是FDCF和FCCF,应该作为区间值近似推理的基础。研究表明,在语言概念的组合中,由语言运算符“AND”、“OR”、“IMP”等产生的隶属度值,与被称为t-norm、t-conorms和标准否定的清晰连接词不同,分别用模糊析取和合取规范形式FDCF和FCCF计算。用这些形式计算的近似推理揭示了信息颗粒中可用的信息内容,同时也揭示了信息颗粒中上下隶属度的分级所代表的不确定性和风险。
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Fuzzy disjunctive and conjunctive canonical forms: a foundation for interval-valued fuzzy techniques
Fuzzy disjunctive and conjunctive canonical forms, FDCF, and FCCF, respectively, should be used as a foundation for interval-valued approximate reasoning. It has been shown that in the combination of linguistic concepts, membership values generated by linguistic operators, "AND", "OR", "IMP", etc., as opposed to crisp connectives that are known as t-norms and t-conorms and standard negation, are computed with fuzzy disjunctive and conjunctive canonical forms, FDCF and FCCF, respectively. Approximate reasoning computed with these forms reveals the information content available in information granules, as well as exposing the uncertainty and risk represented with the gradation between the lower and the upper membership degrees.
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