** FuzzyNumbers Package NEWS **


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0.4-7 /2021-11-15/

* [BUGFIX] Vignette fix.

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0.4-6 /2019-02-05/

* [BUGFIX] #15 `as.PiecewiseLinearFuzzyNumber` used to truncate the upper knots.

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0.4-5 /2019-01-15/

* [BUGFIX] #14 `as.PiecewiseLinearFuzzyNumber` used to fail for some
TriangularFuzzyNumbers
* updated manual & package metadata

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0.4-2 /2018-02-13/

* updated manual & package metadata

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0.4-1 /2015-02-26/

* added possibility and necessity functions that represent comparison
  operators <=,<,>,>= (with tests and description in vignette)

* added functions to determine minimum and maximum of two fuzzy numbers
  (description in vignette)

* added operator ^ for calculation of integer power of
  PiecewiseLinearFuzzyNumber

* added function arctan2 for calculation of atan2 with
  PiecewiseLinearFuzzyNumber arguments

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0.3-5 /2014-10-01/

* added proper import directives in NAMESPACE

* piecewiseLinearApproximation: method="ApproximateNearestEuclidean"
  no longer accepted; use "NearestEuclidean" instead.

* package vignette now in the vignettes/ directory.

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0.3-3 /2014-01-03/

* piecewiseLinearApproximation() now supports new method="SupportCorePreserving",
      see  Coroianu L., Gagolewski M., Grzegorzewski P., Adabitabar Firozja M.,
      Houlari T., Piecewise Linear Approximation of Fuzzy Numbers Preserving
      the Support and Core, 2014 (submitted for publication).

* piecewiseLinearApproximation() now does not fail on exceptions thrown
      by integrate(); fallback=Newton-Cotes formula.

* Removed `Suggests` dependency: testthat tests now available for developers
      via the FuzzyNumbers github repository.

* Package manual has been corrected and extended.

* Package vignette is now only available
      online at http://FuzzyNumbers.rexamine.com.

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0.3-1 /2013-06-23/

* piecewiseLinearApproximation() - general case (any knot.n)
  for method="NearestEuclidean" now available.
  Thus, method="ApproximateNearestEuclidean" is now deprecated.

* New binary arithmetic operators, especially
   for PiecewiseLinearFuzzyNumbers: +, -, *, /

* New method: fapply() - applies a function on a PLFN
  using the extension principle

* New methods: as.character(); also used by show().
  This function also allows to generate LaTeX code defining the FN
  (toLaTeX arg thanks to Jan Caha).

* as.FuzzyNumber(), as.TriangularFuzzyNumber(), as.PowerFuzzyNumber(), and
  as.PiecewiseLinearFuzzyNumber() are now S4 methods,
  and can be called on objects of type numeric, as well as on
  various FNs

* piecewiseLinearApproximation() and as.PiecewiseLinearFuzzyNumber()
  argument `knot.alpha` now defaults to equally distributed knots
  (via given `knot.n`). If `knot.n` is missing, then it is guessed
  from `knot.alpha`.

* PiecewiseLinearFuzzyNumber() now accepts missing `a1`, `a2`, `a3`, `a4`,
  and `knot.left`, `knot.right` of length `knot.n`+2. Moreover, if `knot.n`
  is not given, then it is guessed from length(knot.left).
  If `knot.alpha` is missing, then the knots will be equally distributed
  on the interval [0,1].

* alphacut() now always returns a named two-column matrix.
  evaluate() returns a named vector.

* New function: TriangularFuzzyNumber - returns a TrapezoidalFuzzyNumber.

* Function renamed: convert.side to convertSide, convert.alpha
  to convertAlpha, approx.invert to approxInvert

* Added a call to setGeneric("plot", function(x, y, ...) ...
  to avoid a warning on install

* The FuzzyNumbers Tutorial has been properly included
  as the package's vignette

* DiscontinuousFuzzyNumber class has been marked as **EXPERIMENTAL**
  in the manual

* Man pages extensively updated

* FuzzyNumbers devel repo moved to GitHub

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0.2-1 /2012-12-27/

* approx.invert(): a new function to find the numerical
  inverse of a given side/alpha-cut generating function
  (by default via Hermite monotonic spline interpolation)

* convert.side(), convert.alpha():
  new functions to convert sides and alpha cuts
  to side generating funs and alpha cut generators

* FuzzyNumber class validity check for lower, upper, left, right:
   * checks whether each function is properly vectorized
      and gives numeric results
   * does not check for the number of formal arguments,
      but just uses the first from the list

* Suggests `testthat`

* Each object has been documented

* First CRAN release

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0.1-1 /2012-07-01/

* Initial release

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