Changes in version 0.1.0 (2026-10-21)                  

Initial CRAN release

  - ifv() S3 class for intuitionistic fuzzy values (membership mu,
    non-membership nu, hesitation pi = 1 - mu - nu), with as_ifv(),
    is_ifv(), if_pi(), if_check() and if_comp() helpers.
  - Xu (2007) arithmetic: if_add(), if_mul(), if_scalar_mul(), if_pow(),
    plus Einstein variants if_einstein_add(), if_einstein_mul(),
    if_einstein_scalar_mul(), if_einstein_pow().
  - Aggregation operators: ifwa(), ifwg(), ifowa(), ifowg(), ifha(),
    ifhg(), if_einstein_wa(), if_einstein_wg() and the
    if_aggregate_matrix() decision-matrix helper.
  - Score / accuracy / ranking: if_score(), if_accuracy(),
    if_hesitation(), if_rank(), if_order(), if_best().
  - Entropy measures: if_entropy() with "burillo", "szmidt", "vlachos"
    and "zeng_li" methods.
  - Distances: if_dist() with "hamming", "euclidean", "hausdorff", "ye",
    "ye_cosine" and "park" methods (optional element weights).
  - Similarities: if_sim() with "chen", "hong_kim", "ye_cosine",
    "ye_weighted", "deng"/"liang_shi" (Jaccard) and "dice" methods.
  - Approximate reasoning: max-min / max-product if_compose(),
    if_infer() (compositional rule of inference) and if_rule_block().
  - Clustering: intuitionistic fuzzy c-means ifcmeans() (with hesitation
    penalty lambda and nstart random starts) and hard ifkmeans().
  - Decision making: IF-TOPSIS if_topsis() (Boran et al. 2009) and the
    if_rank_df() ranking table.
  - Converters: if_fuzzify() (numeric to IFV) and if_defuzzify()
    ("score", "expected", "accuracy", "mu").
  - Vignette IFFuzzyStats-intro, full testthat suite, base-R only (no
    hard dependencies).