Intuitionistic Fuzzy EDAS
IF-EDAS (Intuitionistic Fuzzy EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T. in 1986. 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
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How it works
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When to use it
IF-EDAS extends crisp EDAS to settings where each rating is an Intuitionistic Fuzzy Number (μ, ν). The algorithm (i) optionally aggregates K DMs via IFWA, (ii) defuzzifies cells via Chen-Tan score s = μ − ν, (iii) computes per-criterion Average solution AV and direction-aware PDA/NDA (cost criteria swap branches), (iv) weights and max-normalises into NSP, NSN, (v) averages to the Appraisal Score AS_i = (NSP_i + NSN_i)/2 ∈ [0, 1]. Higher AS_i = better. Algorithm is INVARIANT across pure IF-EDAS application papers (Yıldırım-Meydan 2021 BİST retail, Dumrul et al. 2024 renewable energy); score fun
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
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Sources
- 1.Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems
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Cite this page
ScholarGate. (2026, June 2). IF-EDAS. ScholarGate. https://scholargate.app/decision-making/if-edas