Very interesting, I am stepping through the code, I am getting the same results. I will let you know. [font="Comic Sans MS"]Ira Warren Whiteside[/font] Viewing 15 posts - 1 through 15 (of 57 total) 1 2 … 4 Next You must be logged in to reply to this topic.Login to reply ...
It is explained that Fuzzy set theory provides a suitable algorithm which is substantively different from the conventional quantitative methods of system analysis yet presents an approximate but effective means of describing the behaviour of systems which are too ill-defined for precise mathematical ...
Inappropriate YouTube content detection and classification by using proposed novel auto-determined k-means clustering and PDBRNN architecture 2024-9-10查看 Retraction 2024-8-22查看 Retraction Notice 2024-7-19查看 Coupled analysis and simulation of safety risk in subway tunnel construction by shallow-bur...
In this paper, an extended TOPSIS model is established to provide a new means to solve the performance evaluation of public charging service quality. The TOPSIS method integrated with FUCOM method in probabilistic hesitant fuzzy circumstance is applied to rank the optional alternatives and a ...
In addition, the K-means clustering algorithm is used to reduce the number of fuzzy inference rules. The features are extracted from speech samples using the Mel Frequency Cepstral Coefficient (MFCC) algorithm. Furthermore, the covariance matrix provides more precise information about the features. ...
This means that the developed fuzzy model can predict up to 93% of total jute yarn quality. In the case of varying spindle speed, for both yarn counts, the mean relative error was found to be 1.46% (triangular membership) and 1.48% (gaussian membership), respectively, which validates the ...
In the judgment matrix, the most common method is to use 1–9 and the reciprocal for comparison [34]. The degree of importance increases with the increase in number. A score of “1” means that the vertical indicator is equally important compared with the horizontal indicator, and “9” ...
In the judgment matrix, the most common method is to use 1–9 and the reciprocal for comparison [34]. The degree of importance increases with the increase in number. A score of “1” means that the vertical indicator is equally important compared with the horizontal indicator, and “9” ...