三次直觉模糊软集及其距离测度

M. Saqlain
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引用次数: 2

摘要

为了解决模糊、虚假、属性值和不一致等问题,引入了三次直觉模糊软集(CIFS-set),它是三次直觉模糊集的扩展,提出了距离测度、汉明距离、欧几里得距离和分离测度。此外,我们还给出了cifs集合的聚算子(p -并,r -交)。所提出的cifs集更加可靠、高效、准确。在未来,可以提出MCDM和MCGDM技术来处理现实生活中的问题,并且可以将该cifs集扩展为其混合。
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Cubic Intuitionistic Fuzzy Soft Set and it's Distance Measures
To deal with vagueness, falsity, attributive values and inconsistency, we introduce the cubic intuitionistic fuzzy soft set (CIFS-set) which is the extension of the cubic intuitionistic fuzzy set and propose distance measure, Hamming distance, Euclidean distance and separation measures of CIFS-set. Moreover, we present aggregate operator (P-union, R-intersection) of CIFS-sets. The proposed CIFS-set is more reliable, efficient and accurate. In future MCDM and MCGDM techniques can be propoed to deal with real life issues, and also this CIFS-set can be extended for its hybrids.
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