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Flutter package for multi-criteria decision-making using AHP, SAW, and TOPSIS algorithms.

1.0.0 #

  • Flutter Decision Making with AHP algorithm initial release.

1.0.1 #

chore:

  • Provide documentation
  • Pass static analysis
  • update README.md

1.0.2 #

update docs

1.0.3 #

  • update preference value: only return integer
  • update README.md
  • feature to reset all internal data and results to initial state

1.0.4 #

  • updated README with development note about upcoming support for SAW, TOPSIS, and other algorithms.
  • Improved package description in pubspec.yaml to reflect ongoing development and future feature additions.

1.0.5 #

Changed #

  • Refactor feature AHP.

Added #

  • Added isolate-based heavy processing for:
    • generatePairwiseAlternativeInput
    • generateResultPairwiseMatrixCriteria
    • generateResultPairwiseMatrixAlternative
    • calculateEigenVectorCriteria
    • calculateEigenVectorAlternative
    • checkConsistencyRatio

1.0.6 #

Updated #

  • update README.md
  • Refactored AHP feature for improved maintainability and performance
  • On mobile and desktop platforms, replaced compute with Isolate.spawn for heavy processing tasks:
    • generateResultPairwiseMatrixCriteria
    • generateResultPairwiseMatrixAlternative
    • calculateEigenVectorCriteria
    • calculateEigenVectorAlternative
    • checkConsistencyRatio
    • ahpFinalScore

1.1.1 #

Updated #

  • adding Simple Additive Weighting (SAW) algorithm
  • main isolate manager, make to multi-command isolate
  • minimum flutter version
  • minor update AHP

1.1.2 #

Updated #

  • add support me on ko-fi, saweria to readme
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Flutter package for multi-criteria decision-making using AHP, SAW, and TOPSIS algorithms.

Repository (GitHub)
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Topics

#decision-support-system #algorithm #mcdm

Documentation

API reference

Funding

Consider supporting this project:

github.com

License

MIT (license)

Dependencies

flutter, synchronized, uuid

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