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Published in 2019 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22051
Abstract: Pythagorean fuzzy sets are powerful techniques for modeling vagueness in practice. The aim of this article is to investigate an effective means to aggregate uncertain information and then employ it into settling multiple criteria decision…
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Keywords:
shapley fuzzy;
multiple criteria;
operator;
normalized weighted ... See more keywords
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Published in 2019 at "Lithuanian Mathematical Journal"
DOI: 10.1007/s10986-019-09461-w
Abstract: Let X, X1, X2, . . . be a sequence of nondegenerate i.i.d. random variables, let μ = {μni : n ∈ ℕ+, i = 1, …, n} be a triangular array of possibly random…
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Keywords:
asymptotic normality;
random variables;
weighted sums;
self normalized ... See more keywords
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Published in 2017 at "Scientia Iranica"
DOI: 10.24200/sci.2017.4402
Abstract: 2-dimension uncertain linguistic variables (2DULVs) are a powerful tool to express the fuzzy or uncertain information, and the weighted Bonferroni mean can not only take the attribute importance into account but also capture the interrelationship…
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Keywords:
bonferroni mean;
geometric bonferroni;
bonferroni;
uncertain linguistic ... See more keywords
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Published in 2019 at "Symmetry"
DOI: 10.3390/sym11020218
Abstract: In this paper, Normalized Weighted Bonferroni Mean (NWBM) and Normalized Weighted Bonferroni Harmonic Mean (NWBHM) aggregation operators are proposed. Besides, we check the properties thereof, which include idempotency, monotonicity, commutativity, and boundedness. As the intuitionistic…
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Keywords:
intuitionistic fuzzy;
bonferroni harmonic;
harmonic mean;
weighted bonferroni ... See more keywords