Unverified50% confidenceFactExact time
Interpretive Structural Modeling (ISM) is a classic method in the field of multi-criteria decision-making, whose core capabilities include modeling causal relationships, binary-scale judgment between factors, and forming hierarchical structural representations.
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10/5/2026
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UnverifiedISM identifies indirect influence relationships through the transitive closure operation on matrices (repeated Boolean matrix multiplication), and stratifies factors by influence to form a hierarchical directed graph.74% similarUnverifiedThe LLM-ISM integration directly addresses the long-standing structural limitation of ISM's difficulty in scaling, making it potentially applicable to complex system research involving hundreds of variables.69% similarUnverifiedThe core operation of ISM is to construct an n×n binary reachability matrix, where each cell indicates whether factor i can influence factor j, taking a value of 0 or 1.68% similarUnverifiedUsing an LLM for classification is essentially performing feature engineering.63% similarUnverifiedThe framework explicitly models structural ambiguity as a candidate-based decision task.63% similar
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