MULTIACTOR, MULTIDIMENSIONAL APPROACH INTEGRATING FUZZY LOGIC AND THE AHP METHODFORPRIORITIZING INTERVENTION AREAS IN A CRISIS CONTEXT (F-AHPD)

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Résumé

BurkinaFasoisfacingagrowingterroristthreat, withmajorsocio-economicandsecurityimpacts.
This study proposes an innovative multi-actor, multidimensional classification approach to assess and rank
affected areas. The objective is to provide a robust decision-support tool for policymakers, humanitarian
organizations, and security forces to rigorously, transparently, and participatively prioritize interventions
and the effective allocation of resources, thereby optimizing territory security. The new method, called
Fuzzy-AHP for Decision-Making (F-AHPD), is based on two tools: fuzzy measure theory to integrate and
assess the uncertainty and variability of data related to terrorism, and the AHP method to hierarchically
structure the problem and verify the consistency of judgments provided by relevant stakeholders. The
data used pertains to eight localities in the country and draws on certain information published on social
media. The classification identified three categories of areas based on criticality level: critical, high risk,
and moderate risk. The results show that 25% of the studied localities are classified as critical, 62.5% as
high risk, and 12.5% as moderate risk. The method enabled the prioritization of criteria, with the frequency
and severity of attacks being the most influential factors.
2020 Mathematics Subject Classification. 00A99; 03E72; 91B06; 91B10; 91B06.
Key words and phrases. terrorism; data uncertainty; fuzzy-AHP; multi-actor classification; security
optimization

Mots-clés

words and phrases, terrorism, data uncertainty, fuzzy-AHP, multi-actor classification, security optimization