Word computing method and device based on broad general type-2 fuzzy set

Abstract

The invention relates to a word computing method and a word computing device based on a broad general type-2 fuzzy set. The method comprises the steps of building a broad general type-2 fuzzy set word model; building a univariate rule module, measuring proximity between an actual input assessment criteria linguistic value and a corresponding univariate rule module rule first component to serve as a weight and a rule consequent, and aggregating to acquire an intermediate output word linguistic value; operating to acquire a univariate rule module weight via a constrained multi-objective optimization algorithm, and aggregating the univariate rule module weight with the intermediate output word linguistic value to acquire a final output word linguistic value; determining a plurality of object relations to be evaluated through sorting via a fractional function method, or computing proximity between the final output word linguistic value and the known output word linguistic values and selecting the value with the maximum proximity to serve as the actual output word linguistic value of the object to be evaluated. According to the method and the device provided by the invention, the problem of curse of dimensionality caused by rapid increase of fuzzy rules is solved, word computing efficiency and accuracy in artificial intelligence equipment are effectively improved, and wider application prospects are provided.

Description

technical field [0001] The invention belongs to the technical field of intelligent information processing, and in particular relates to a word calculation method and a device thereof based on generalized general type-two fuzzy sets. Background technique [0002] Artificial intelligence has made many remarkable achievements since its birth, such as drones, unmanned vehicles, unmanned ships, robots and so on. However, along with its success, artificial intelligence still faces huge limitations and challenges-the intelligence simulated by machines is far from human intelligence and cannot meet actual needs. The reason is that we found that when the information to be processed (perceptual information) has characteristics such as imprecise, uncertain, and incomplete, the traditional computing paradigm used by artificial intelligence does not work well. How to effectively process perceptual information has become a difficult problem for experts in the field of information and art...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the deficiencies in the prior art, the present invention provides a word calculation method and device based on generalized general type-two fuzzy sets, which solves the problems of limited application of word calculation in the prior art, effectively reduces the misjudgment rate of word calculation, and greatly Improve the efficiency and accuracy of artificial intelligence device word calculation

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