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Decision Making and Operations Research Techniques for Construction
Management challenges the traditional empirical approach to problem
solving and provides construction practitioners with a seasoned
account to resolving day-to-day complicated issues in construction
project management. This book provides scientific tools for
practitioners to resolve some practical problems which are
administered empirically at present and may lead to inconsistent
results and human errors. The modern decision-making tools
introduced in this book include Multi-criteria Decision-making
Models, Artificial Neural Network, Genetic Algorithms, Construction
Simulation, Rough Set Theory and Advanced Statistical Techniques
for construction. This book will serve as a useful companion for
those managing construction projects that are becoming more and
more quantitative in nature, and will provide an invaluable source
of reference for both undergraduate and advanced postgraduate
students.
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