Bipolar extension of WASPAS
BF-WASPAS (Bipolar extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Arshad, M. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Key highlights
- 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.
Intuition
This section is available to Pro members. Upgrade to Pro
How it works
This section is available to Pro members. Upgrade to Pro
When to use it
bf-waspas extends WASPAS to handle Bipolar uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using Bipolar Fuzzy Set (BFS: positive membership μ⁺ ∈ [0,1], negative μ⁻ ∈ [-1,0]) algebra. The final scores are defuzzified via score (μ⁺ + μ⁻)/2 before ranking.
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.
- May exhibit rank reversal when alternatives are added to or removed from the set.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Common pitfalls
This section is available to Pro members. Upgrade to Pro
Sources
- 1.(). UNCONFIRMED — no peer-reviewed BF-WASPAS-specific paper found via systematic literature search. PENDING
You have read it. What now?
Cite this page
ScholarGate. (2026, June 2). BF-WASPAS. ScholarGate. https://scholargate.app/decision-making/bf-waspas