Weighted Ideal Solution Point
WISP (Weighted Ideal Solution Point) is a ranking multi-criteria decision-making (MCDM) method introduced by Stanković, M., Stević, Ž., Das, D. K., Subotić, M., Pamučar, D. 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
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How it works
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When to use it
W_i ∈ [0,1]. Higher W means better. WISP combines four different aggregation paradigms (additive, benefit-multiplicative, cost-multiplicative, fully multiplicative) through a geometric mean, making it robust to any single aggregation failure. The best alternative always receives W_max ≈ 1.
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.
Common pitfalls
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Sources
- 1.Stanković, M., Stević, Ž., Das, D. K., Subotić, M., Pamučar, D. (2020). A new fuzzy MARCOS method for road traffic risk analysis. Mathematics
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Cite this page
ScholarGate. (2026, June 2). WISP. ScholarGate. https://scholargate.app/decision-making/wisp