softinformation
Soft information refers to information that is probabilistic, qualitative, or uncertain, rather than fixed, binary facts. It contrasts with hard information, which is precise, verifiable, and unambiguous. Soft information arises when data are noisy, incomplete, or subjective, and it often requires interpretation, estimation, or probabilistic framing.
In signal processing and telecommunications, soft information denotes probabilistic outputs such as symbol probabilities or log-likelihood
In intelligence analysis, risk assessment, and decision support, soft information encompasses expert judgments, estimates, impressions, and
Quantification methods for soft information include probability distributions, confidence levels, likelihood ratios, fuzzy logic, and linguistic-to-numeric
Challenges in using soft information include subjectivity, calibration of probabilities, bias, and the weighting of disparate