topsis-scorer

Community

Rank 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 required

Components

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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