decision-support

Multi-criteria decision analysis (MCDA) compares vendor options by applying weighted scoring, AHP, or TOPSIS methods to rank alternatives based on technical, business, and economic criteria. This approach automates structured trade-offs to provide an objective recommendation.

Yes, you can integrate risk assessment into a weighted scoring model for project prioritization. This process incorporates risk factors directly into the decision matrix, generating a risk-adjusted ranking that balances potential costs, benefits, and vulnerabilities across competing projects.

The best way to perform a cost-benefit analysis for technology selection is combining it with MCDA methods like AHP or TOPSIS. This integration evaluates economic trade-offs alongside technical requirements, yielding an auditable, data-driven recommendation for your chosen technology.

Yes, multi-criteria decision analysis generates an auditable recommendation for stakeholder communication. It outputs a structured decision report and architecture decision record (ADR), documenting the scoring logic, risk adjustments, and criteria weights to ensure full traceability.

You should not use AHP or TOPSIS for decision matrix evaluations when facing single-variable problems or scenarios lacking objective trade-offs. These multi-criteria methods require clearly defined technical, business, and risk criteria to function effectively.

To start a multi-criteria decision analysis with integrated risk and cost-benefit factors, define your options, specify evaluation criteria, and assign weights. The system then applies MCDA methods to output a clear, risk-adjusted ranking and preferred option.