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Unified forms of the CDR method of approximate reasoning on Antanassov's intuitionistic fuzzy sets and its property analysis

机译:Antanassov直觉模糊集的CDR近似推理方法的统一形式及其性质分析

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Two basic models of fuzzy reasoning are fuzzy modus ponens and fuzzy modus tollens. Correspondingly, the key point of intuitionistic fuzzy reasoning is to solve the problems of intuitionistic fuzzy modus ponens (IFMP) and intuitionistic fuzzy modus tollens (IFMT). In many important algorithms of fuzzy reasoning, the Consequent Dilation Rule (CDR) method possesses the virtue of unconditional reductivity. This paper proposed an intuitionistic CDR (ICDR) method for IFMP and IFMT problems by extending the CDR method to the intuitionistic fuzzy reasoning. It was proved that the intuitionistic CDR methods, both for IFMP and IFMT, are unconditionally reductive in the circumstance of using residual intuitionistic implication operators. At the same time, the continuity, approximation properties and robustness of the CDR method in Lukasiewicz intuitionistic fuzzy reasoning space have been studied by using the new defined average natural distance between intuitionistic fuzzy sets.
机译:模糊推理的两个基本模型是模糊模态推理和模糊模态收费。相应地,直觉模糊推理的重点是解决直觉模糊模态量(IFMP)和直觉模糊模量量(IFMT)的问题。在许多重要的模糊推理算法中,结果扩张规则(CDR)方法具有无条件还原性的优点。通过将CDR方法扩展到直觉模糊推理,提出了针对IFMP和IFMT问题的直觉CDR(ICDR)方法。事实证明,IFMP和IFMT的直觉CDR方法在使用残差直觉蕴涵算子的情况下都是无条件还原的。同时,通过使用新定义的直觉模糊集之间的平均自然距离,研究了Lukasiewicz直觉模糊推理空间中CDR方法的连续性,逼近性质和鲁棒性。

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