AIMC Topic: Linguistics

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Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making.

IEEE transactions on cybernetics
Consistency is an important issue in linguistic decision making with various consistency measures and consistency improving methods available in the literature. However, existing linguistic consistency studies omit the fact that words mean different ...

Attribute Feature Classification of English Grammar Entry Base Based on Support Vector Machine Classification Algorithm.

Computational intelligence and neuroscience
An attribute feature classification method of English grammar vocabulary entry database based on support vector machine classification algorithm is proposed; this method takes news English as the research object and focuses on the classification of a...

A Closed-Loop Method for Multiperiod Intelligent Information Processing with Cost Constraints under the Fuzzy Environment.

Computational intelligence and neuroscience
From trivial matters in life to major scientific projects related to the fate of mankind, decision-making is everywhere. Whether high-quality decisions can be made often directly affects the development of affairs, especially when sudden disasters oc...

Synthesizing theories of human language with Bayesian program induction.

Nature communications
Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. We present a framework for algorithmically synthesizing models of a basic part of human language: morpho-pho...

Deep Learning-Based Correlation Analysis between the Evaluation Score of English Teaching Quality and the Knowledge Points.

Computational intelligence and neuroscience
As one of the three main courses from primary school to senior high school, improving the quality of English teaching in and out of class has become the top priority of colleges and universities. English knowledge points are complex, and domestic sch...

Cosine similarity measures between q-rung orthopair linguistic sets and their application to group decision making problems.

Scientific reports
The q-rung orthopair linguistic set (q-ROLS), a combined version of linguistic term sets and q-rung orthopair fuzzy set, is an efficient mathematical tool to accomplish the imprecise information while solving the decision-making problems. Under this ...

Hesitant 2-tuple fuzzy linguistic multi-criteria decision-making method based on correlation measures.

PloS one
Correlation is considered the most important factor in analyzing the data in statistics. It is used to measure the movement of two different variables linearly. The concept of correlation is well-known and used in different fields to measure the asso...

A hierarchy of linguistic predictions during natural language comprehension.

Proceedings of the National Academy of Sciences of the United States of America
Understanding spoken language requires transforming ambiguous acoustic streams into a hierarchy of representations, from phonemes to meaning. It has been suggested that the brain uses prediction to guide the interpretation of incoming input. However,...

Unsupervised deep learning supports reclassification of Bronze age cypriot writing system.

PloS one
Ancient undeciphered scripts present problems of different nature, not just tied to linguistic identification. The undeciphered Cypro-Minoan script from second millennium BCE Cyprus, for instance, currently does not have a standardized, definitive in...

Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making.

Environmental science and pollution research international
Schemes to protect the geological environment and reclaim land are core requirements for an application for mining rights and complying with mining regulations. Mining enterprises must be supervised to ensure they fulfill their obligations. To guide ...