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In today's rapidly evolving technological landscape, making informed decisions about future technologies requires sophisticated analytical tools and methodologies. This comprehensive guide presents a robust framework for technology forecasting and decision analysis, combining quantitative techniques with practical applications. From goal programming and optimisation models to advanced forecasting methods like the Delphi technique and morphological analysis, this book offers a thorough exploration of both qualitative and quantitative approaches. Readers will master essential tools including cross-impact matrices, curve fitting, regression analysis, and system dynamics, while understanding how to apply these techniques in real-world scenarios. The book bridges theoretical concepts with practical applications, featuring detailed examples from military technology assessment, pharmaceutical research, and automotive innovation. Whether you're a decision-maker in R&D, a technology manager, or an analyst working with predictive models, this guide provides the comprehensive knowledge needed to make data-driven decisions about technological futures.