Fuzzy WEight deNomination based on Slope coefficient (triangular fuzzy extension)
B-WENSLO (Fuzzy WEight deNomination based on Slope coefficient (triangular fuzzy extension)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Demir, G., Ulusoy, S. K. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
B-WENSLO assigns higher weight to criteria whose linguistic expert assessments produce, after fuzzy normalisation and graded-mean defuzzification, an accumulation polyline with a longer envelope relative to its slope. Criteria on which experts disagree the most (high spread in defuzzified normalised values) gain weight; criteria where experts converge on a single label get low weight.
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
- Demir, G., Ulusoy, S. K. (2024). Bulanık WENSLO Yöntemi ile Kriter Ağırlıklarının Belirlenmesi: Dijital Bankacılık Uygulaması. Computer and Decision Making — An International Journal link ↗
How to cite this page
ScholarGate. (2026, June 2). Fuzzy WEight deNomination based on Slope coefficient (triangular fuzzy extension). ScholarGate. https://scholargate.app/en/decision-making/b-wenslo
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