Bipolar extension of EDAS
BF-EDAS (Bipolar extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Jana, C., Pal, M. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
BF-EDAS extends EDAS to Bipolar Fuzzy Numbers (BFN: μ⁺ ∈ [0,1], ν⁻ ∈ [-1,0]). Input each cell as a pair (μ⁺, ν⁻). Cost criteria are automatically complemented in Step 2. The algorithm computes a BFN average solution via geometric-mean BFWA (Step 4), converts BFNs to crisp scores via Δ(B)=(1+μ⁺+ν⁻)/2 (Step 5), then applies standard EDAS PDA/NDA logic on those scores (Steps 5–9). Higher Appraisal Score (AS) is better. Supports multiple experts via BFWA aggregation (Step 3).
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.
Sources
- Jana, C., Pal, M. (2021). Extended bipolar fuzzy EDAS approach for multi-criteria group decision-making process. Computational and Applied Mathematics DOI: 10.1007/s40314-020-01403-4 ↗
How to cite this page
ScholarGate. (2026, June 2). Bipolar extension of EDAS. ScholarGate. https://scholargate.app/en/decision-making/bf-edas
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