Changes in version 0.1.0 (2026-10-15)                  

First release.

Fuzzy numbers

  - fuzzy_number_trapezoid(), fuzzy_number_triangle(),
    fuzzy_number_interval() and fuzzy_number_crisp() build vague
    quantities.
  - alpha_cuts(), support(), core(), membership(), fuzzy_spread(),
    is_crisp(), as_crisp() and as_fuzzy_number() inspect them.
  - Arithmetic + - * / ^ and exp() follow interval arithmetic on the
    alpha-cuts.
  - defuzz() implements nine type-reduction rules.

Data

  - fuzzy_surv() bundles fuzzy times with failure degrees, the analogue
    of survival::Surv().
  - sim_fuzzy_surv() generates exact times and then coarsens them the
    way a record does, for validation studies.
  - fuzzy_dfs, a simulated example of 240 subjects with quarterly
    examinations.

Estimators

  - fkm(), the fuzzy Kaplan-Meier estimator, with grouped fits,
    alpha-cut bounds and a fuzzy survival difference.
  - fcox(), the fuzzy Cox proportional hazards model, giving fuzzy
    coefficients, hazard ratios and p-values.
  - flogrank(), a fuzzy log-rank test for two groups.

All three reduce exactly to their survival counterparts on precise data.