topsis-scorer
CommunityRank options with TOPSIS quickly.
AuthorSPIRAL-EDWIN
Version1.0.0
Installs0
System Documentation
What problem does it solve?
TOPSIS scores provide a principled way to rank alternatives by measuring their distance from the Positive and Negative Ideal Solutions, enabling objective decision making across multiple criteria.
Core Features & Use Cases
- Score computation for a given decision matrix with both benefit and cost criteria.
- Ranking and sorting of alternatives by TOPSIS_Score with optional handling of negative indicators.
- Use Case: Compare multiple vendor proposals by price, quality, and delivery time to select the best overall option.
Quick Start
Run the topsis-scorer on your dataset by supplying a DataFrame, a weights vector, and an optional list of negative_indicators to obtain ranked results.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: topsis-scorer Download link: https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000/archive/main.zip#topsis-scorer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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