fuzzy-evaluation
CommunityTurn subjective judgments into fuzzy scores.
Data & Analytics#data-analytics#decision-making#fuzzy-evaluation#fuzzy-logic#linguistic-terms#membership-function#factor-weighting
AuthorSPIRAL-EDWIN
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables turning qualitative, linguistic judgments into structured, quantitative-like assessments using fuzzy logic. It provides a principled way to compare alternatives when numerical data is scarce or imprecise, improving consistency in decision-making.
Core Features & Use Cases
- Fuzzy representation: Convert qualitative evaluations (e.g., good, fair, poor) into membership values across defined grades.
- Structured aggregation: Combine factor weights with membership matrices to obtain an overall evaluation.
- Use Case: Evaluate service quality or product performance when only subjective assessments are available, then rank options or identify strengths and gaps.
Quick Start
Define the factors and grades, construct a weight vector and a membership matrix, then compute the fuzzy composite score to obtain a final recommendation.
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: fuzzy-evaluation Download link: https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000/archive/main.zip#fuzzy-evaluation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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