Fuzzy SAW (Bonissone 1982) - L-R trapezoidal Simple Additive Weighting
FUZZY-SAW (Fuzzy SAW (Bonissone 1982) - L-R trapezoidal Simple Additive Weighting) is a ranking multi-criteria decision-making (MCDM) method introduced by Bonissone, P. P. in 1982. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Read the full method
Sign in with a free account to read this section.
Method map
The neighbourhood of related methods — select a node to explore.
When to use it
Fuzzy SAW (Bonissone 1982 L-R variant) aggregates weighted L-R 4-tuple contributions per alternative, then defuzzifies via trapezoidal centroid. Output is the descending ranking of centroids.
Strengths & limitations
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- Bonissone, P. P. (1982). A fuzzy set based linguistic approach: Theory and applications. Approximate Reasoning in Decision Analysis (Gupta, M. M. and Sanchez, E., Eds.) link ↗
How to cite this page
ScholarGate. (2026, June 2). Fuzzy SAW (Bonissone 1982) - L-R trapezoidal Simple Additive Weighting. ScholarGate. https://scholargate.app/en/decision-making/fuzzy-saw
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
Compare side by side →