Indicators of AI in Automation: An Evaluation Using Intuitionistic Fuzzy DEMATEL Method with Special Reference to Chat GPT

Numerous examples have shown that huge language models are useful. OpenAI's ChatGPT is a conversational bot that can respond appropriately in human-like situations. Massive amounts of data were used in its training. As of this writing, ChatGPT is the most advanced chatbot in existence. Because it can produce high-quality writing in a matter of seconds, this chatbot has generated a lot of excitement—and some dire predictions—about its potential impact on higher education assessment and other fields. The widespread popularity and acceptance of ChatGPT is a fascinating phenomenon that attracts millions of users and viewers every day. ChatGPT that is difficult to complete is often disregarded or even hated by its intended audience. Therefore, it is essential to learn about the numerous factors that could affect the accuracy of ChatGPT. This research, however, focuses on the difficulties of ChatGPT and provides a thorough examination of them. We have isolated 12 problems and analysed their interrelationships. Using an approach developed at the Intuitive Fuzzy Decision Making and Trial Evaluation Laboratory (IF–DEMATEL), the identified problems are then partitioned into cause and effect categories for additional research. The first stage is a thorough examination, by multiple specialists, of the causal relationships between major obstacles. The evaluation results are shown as intuitive fuzzy numbers (IFN). The second step is to convert the lingo into IFN. Third, DEMATEL offers a structure for identifying issues and their constituent causes. IF–DEMATEL is found to be the most effective method for analyzing the interplay of several problems in ChatGPT when compared to other DEMATEL variants like classical DEMATEL and fuzzy DEMATEL. Successful identification of important obstacles that experts and project managers should focus on is greatly aided by the findings of this inquiry.