Best-Option Selection

Purpose: Select the single best-performing alternative from a candidate set, supporting WSM, TOPSIS, AHP, MAUT, VIKOR, and other methods.

When to use:

• User needs to select "the best one" from multiple candidates
• Decision scenario allows compensatory trade-offs (high scores offset low scores)
• Moderate number of candidates (3-15)

Budget

State Ledger

strategy: best-option-selection
status: pending
criteria_defined: false
weights_computed: false
scores_computed: false
normalized: false
synthesized: false
selected_method: null
result: null

Available Tactics

• scoring-matrix-construction — Standard workflow: define criteria → assign weights → score → aggregate → sensitivity

Available SOPs

Import (from scoring-matrix-construction)

• criterion-definition
• weight-elicitation-sop
• alternative-scoring
• normalization

Subagent

• scoring-synthesis

Execution Guidance

1. Invoke scoring-matrix-construction tactic to build the score matrix
2. Select aggregation method based on problem characteristics (WSM for simple scenarios, TOPSIS when ideal solution reference is needed, VIKOR when compromise solution is needed)
3. Invoke scoring-synthesis to produce final recommendation
4. If user questions the result, switch methods, recompute, and compare

Output Format

## Best Option Recommendation

**Recommended:** [Alternative name]
**Overall Score:** [Score value]
**Method Used:** [WSM/TOPSIS/AHP/MAUT/VIKOR]

### Score Ranking
| Rank | Alternative | Overall Score | Key Strengths |
|------|-------------|---------------|---------------|

### Sensitivity Notes
[Impact of weight changes on the result]