Category Sorting

Purpose: Classify candidate alternatives into predefined categories (e.g., A/B/C grades, compliant/non-compliant), supporting ELECTRE-Tri, FlowSort, AHPSort, DRSA, and other classification methods.

When to use:

• User needs to classify alternatives rather than rank them
• Predefined category boundaries exist (e.g., pass/fail, excellent/good/poor)
• Need to independently determine category membership for each alternative

Budget

Base SOP	Target	±10% Range
criterion-definition	5-8 criteria	4-9
weight-elicitation-sop	1 weight vector	1
threshold-setting	1 threshold set	1
alternative-scoring	1 score matrix	1
scoring-synthesis	1 classification	1

State Ledger

strategy: category-sorting
status: pending
categories_defined: false
criteria_defined: false
weights_computed: false
thresholds_set: false
scores_computed: false
classified: false
result: null

Available Tactics

• scoring-matrix-construction — Build scoring foundation
• screening-then-scoring — Hybrid workflow: screen first, then classify

Available SOPs

Import (from tactics)

• criterion-definition
• weight-elicitation-sop
• alternative-scoring
• threshold-setting

Subagent

• scoring-synthesis

Execution Guidance

1. Define category definitions and boundary conditions
2. Invoke criterion-definition to determine classification criteria
3. Invoke threshold-setting to set category boundaries
4. Score each alternative independently and determine category membership
5. Handle borderline cases (pessimistic vs optimistic assignment)

Output Format

## Classification Results

**Method:** [ELECTRE-Tri / FlowSort / AHPSort / DRSA]
**Category Definitions:** [A=Excellent, B=Good, C=Needs Improvement, D=Unqualified]

### Classification Table
| Alternative | Category | Confidence | Boundary Distance |
|-------------|----------|------------|-------------------|

### Borderline Cases
[List alternatives near category boundaries and their sensitivity]

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
convergence-scoring-matrix-construction	Build a complete scoring matrix through criterion definition, weighting, scoring, normalization, and sensitivity testing.
screening-then-scoring	First eliminate non-qualifying candidates with non-compensatory rules, then score survivors with full MCDA methods.