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Home›Decision-making›Sequential Interactive Model for Urban Systems
MCDMRankingcrisp

Sequential Interactive Model for Urban Systems

SIMUS (Sequential Interactive Model for Urban Systems) is a ranking multi-criteria decision-making (MCDM) method introduced by Munier, N. in 2011. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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  1. MCDM
  2. v1
  3. 1 Sources
  4. PUBLISHED
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When to use it

SIMUS does not require criterion weights — the LP determines them endogenously. Suitable when weights are unknown.

Strengths & limitations

Strengths
  • 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.
Limitations
  • Results depend on the chosen normalisation, weights, and parameter settings.

Sources

  1. Munier, N. (2011). A Strategy for Using Multicriteria Analysis in Decision-Making: A Guide for Simple and Complex Environmental Projects. Springer DOI: 10.1007/978-94-007-1512-7 ↗

How to cite this page

ScholarGate. (2026, June 2). Sequential Interactive Model for Urban Systems. ScholarGate. https://scholargate.app/en/decision-making/simus

Similar methods

REVISED-SIMOSSIRSECANAIADEPROMETHEE-VMULTIMOORAPROMETHEE-VIAPLOCO

Related reference concepts

Decision Support SystemsUrban PlanningDecision MakingUrban StudiesPolicy AnalysisPlanning Models • Planning Policy

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — SIMUS (Sequential Interactive Model for Urban Systems). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/simus · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Munier, N.
Subfamily
Ranking
Year
2011
Type
Linear programming sequential optimization of criteria objectives
Value Space
crisp
Uncertainty
None
Compensation
partial
Rank Reversal
No
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