CRIteria Significance determining in PYthoN - The Python 3 Library for determining criteria weights for MCDA methods.
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Updated
Feb 12, 2026 - Python
CRIteria Significance determining in PYthoN - The Python 3 Library for determining criteria weights for MCDA methods.
The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.
This repository contains Python implementations of various Multi-Criteria Decision Making (MCDM) methods. These techniques help in evaluating and ranking alternatives based on multiple criteria, often used in decision analysis and optimization problems.
Project is a web application that implements the FUZZY VIKOR method for decision-making.
Python library for Health Technology Assessment (HTA) with advanced weight sensitivity profiling via interval bisection. Features variant MCDA (SAW, TOPSIS, VIKOR, AHP, CORPAS) and outlier-robust normalization.
Browser tool for multi-criteria decision analysis (MCDM/MCDA): 26 methods (CRITIC, Entropy, MEREC, LOPCOW, CILOS, BWM, AHP, ROC, SWARA, TOPSIS, SAW, VIKOR, EDAS, WASPAS, COPRAS, MARCOS, CoCoSo, MABAC, MOORA, ARAS, CODAS, PROMETHEE II, ELECTRE I/III), Monte Carlo robustness & method comparison, verified against literature. EN/TR.
Multiple Criteria Decision Analysis library for JavaScript and TypeScript
Reproduction package for the DCRITIC–WASPAS–K-means transport safety model (Sci Rep 15:36467)
Multi-criteria decision analysis for Python: 17 ranking methods, rank-reversal-free ranking, and weight sensitivity solved to a threshold. One dependency (numpy).
Article Eligibility Decision Support System using the Vikor Method. Made with Laravel.
Selecting autonomous delivery robot prototypes using R, TOPSIS, VIKOR and sensitivity analysis.
多人聚会最佳地点推荐:4 维向量公式 + 3 算法交叉验证(TOPSIS/VIKOR + 几何中点),北京限定。
Interactive dashboard and Python analysis that ranks 12 Saudi Vision 2030 giga-projects using AHP, Fuzzy AHP, BWM, TOPSIS and VIKOR, with robustness tests (Monte Carlo weights, Kendall τ, VIKOR validity).
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