DECISION MAKING BASED ON NATURAL LANGUAGE PROCESSING

Abstract

The processing of natural language, one of the main areas of artificial intelligence, has begun to be widely used in decision-making. The use of natural language processing plays a crucial role in improving decision making. Currently, natural language processing technology allows us to achieve better results in some accurate decision-making technologies. Because people understand linguistic information better and can make better decisions based on it. It is easier for people to understand the meaning of linguistic terms than quantitative information. Many studies have shown that people have difficulty in understanding quantitative information or are reluctant to make decisions based on it. The main indicator of its effectiveness is the fact that the level of reliability of decision-making based on linguistic information, which is closer to human intuition, is higher than that based on other types of information. The article discusses the measurement of natural language decision-making efficiency. In order to measure the number of tourists who can travel to the three selected countries in three quarters, people were provided with natural language processing and graphical surveys. Based on the collected data, fuzzy inference analysis was applied. The survey found that people tend to make decisions based on natural language rather than the most up-to-date schedules. Only 27% of people made decisions based on graphs, while others made decisions based on the “If ... Then” rule. The reliability of decisions made through natural language processing was 78%, while the other was 62%. Keywords: Natural Language Processing, Natural Language Generation, Decision Making based on Uncertainty, Fuzzy Rules, Fuzzy Inference Systems, Deep Learning.