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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.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().ifwa(), ifwg(),
ifowa(), ifowg(), ifha(),
ifhg(), if_einstein_wa(),
if_einstein_wg() and the if_aggregate_matrix()
decision-matrix helper.if_score(),
if_accuracy(), if_hesitation(),
if_rank(), if_order(),
if_best().if_entropy() with
"burillo", "szmidt", "vlachos"
and "zeng_li" methods.if_dist() with "hamming",
"euclidean", "hausdorff", "ye",
"ye_cosine" and "park" methods (optional
element weights).if_sim() with "chen",
"hong_kim", "ye_cosine",
"ye_weighted", "deng"/"liang_shi"
(Jaccard) and "dice" methods.if_compose(), if_infer() (compositional rule
of inference) and if_rule_block().ifcmeans()
(with hesitation penalty lambda and nstart
random starts) and hard ifkmeans().if_topsis() (Boran et
al. 2009) and the if_rank_df() ranking table.if_fuzzify() (numeric to IFV) and
if_defuzzify() ("score",
"expected", "accuracy",
"mu").IFFuzzyStats-intro, full testthat
suite, base-R only (no hard dependencies).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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