Inconsistency Measure

Inconsistency measures quantify the degree of contradiction within a system, a crucial aspect in diverse fields ranging from decision-making to artificial intelligence. Current research focuses on developing and comparing axiomatic frameworks for these measures, exploring their application in various contexts like pairwise comparisons, large language models (assessing biases), and declarative process specifications. Algorithms based on satisfiability and answer set programming are being employed and compared for efficient computation, highlighting the need for robust and computationally feasible methods. These advancements improve the reliability and interpretability of analyses across various domains, leading to more informed decision-making and a deeper understanding of complex systems.