Weight_Subjective
SMART Weighting: Direct importance rating normalisation (Edwards SMART weight step)
Edwards, W., Barron, F. H. · 1994
Overview
Subjective weighting: direct rating normalisation. Output typically weight (higher value = preferred).
Strengths
- •Method-specific: Subjective weighting: direct rating normalisation
Limitations
- •Assumes: Domain experts available
- •Assumes: Experts can express consistent comparisons
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Domain experts available
- •Experts can express consistent comparisons
When not to use
- •No experts available → use objective weighting
- •High inconsistency → discard and re-elicit
Edge cases
- •See F.steps and D.parameters for SMART-WEIGHT-specific edge handling. recommendation_metadata.assumptions_to_verify also lists boundary conditions.
Common pitfalls
- •Hatalı: 'SMART-WEIGHT bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Domain experts available
- •Hatalı: 'SMART-WEIGHT bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Experts can express consistent comparisons
- •Hatalı: SMART-WEIGHT'yi 'No experts available → use objective weighting' durumunda kullanmak: recommendation_metadata.not_recommended_when alternatif öneriyor.
- •Hatalı: SMART-WEIGHT'yi 'High inconsistency → discard and re-elicit' durumunda kullanmak: recommendation_metadata.not_recommended_when alternatif öneriyor.
Worked example
- 1.Adım 1 (F1): Normalise importance ratings r_j to criterion weights: w_j = r_j / Σ_k r_k. Formül: w_j = \frac{r_j}{\sum_{k=1}^n r_k},\quad r_j > 0 Anchor: Edwards & Barron 1994, p.308 (SMART weight step; pending PDF page verification)
Commonly paired with
- •SMART-WEIGHT + TOPSIS (high)
- •SMART-WEIGHT + VIKOR (high)
- •SMART-WEIGHT + EDAS (high)
- •SMART-WEIGHT + PROMETHEE (high)
- •SMART-WEIGHT + ELECTRE-III (high)
How to cite
Edwards, W.; Barron, F. H. (1994). SMARTS and SMARTER: Improved simple methods for multiattribute utility measurement. Organizational Behavior and Human Decision Processes. https://doi.org/10.1006/obhd.1994.1087