Multiple-criteria decision analysis

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Related lectures (32)

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Multi-Criteria Decisions: Pareto Optimization Techniques

Delves into Pareto optimization techniques for generating system configurations and making decisions efficiently.

Classification Detection

Covers binary hypothesis testing and decision functions in specific scenarios.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Nonlinear SVM: Kernels and Dual Optimization

Explores transforming data with nonlinear maps, kernels, dual optimization, and interpreting SVM results.

Support Vector Machines: Exercises Solutions

Covers solutions to SVM exercises, discussing optimality conditions, decision functions, and parameter impacts.

Introduction to Supervised Learning and Decision Theory

Covers supervised learning, decision theory, risk minimization, and goal achievement.

Data Governance in Urban Settings

Explores data quality, biases in data, and the importance of good governance practices in urban data settings.

Discrete Optimization: Set Covering

Explores the set covering problem through the example of completing a sticker collection at a minimum cost.

Bit Error Rate and Receiver Sensitivity

Explores bit error rate and receiver sensitivity in optical communication systems, covering BER, receiver sensitivity, probability density functions, and error probability calculations.

Robust Design: Trade-off Management in Mechanical Development

Emphasizes the importance of managing trade-offs for product robustness in mechanical design, using Multi-objective Monotonicity Analysis for quantitative analysis and systematic redesign efforts.