Overcoming Challenges of Interpretive Structural Modeling with Large Language Models
Interpretive Structural Modeling (ISM) is a well-known process for multi-criteria decision making. The success of ISM over other methodologies is its ability to model causal relationships, the binary scale of factors, and resulting hierarchical representation.
By Everett Rush, David J. Icove, Ari Kim, Byung H. Park, Michael A. LangstonarXiv cs.LG
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Originally published by arXiv cs.LG on Oct 5, 2026.
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