Soft computing approach to evaluation and selection of energy development strategies

Evaluation, comparison and selection of alternative energy development strategies are decision problems that can be solved using soft computing models. The goal of this presentation is to introduce the LSP method for soft computing evaluation and comparison of complex alternatives and to discuss its applicability in building comprehensive quantitative models for justifiable evaluation, comparison and selection of energetic development strategies (nuclear, hydro, thermo, wind, and solar approaches).

The LSP method is based on a number of decision attributes and corresponding attribute criteria. The attribute criteria are aggregated to create a compound criterion function that evaluates the overall suitability of alternative energetic strategies. The aggregation models must be consistent with observable properties of human evaluation reasoning and usually include a spectrum of soft computing logic relationships. The decision process must also include all cost components and an appropriate cost-benefit analysis.

Speaker: Jozo Dujmović, San Francisco State University