Decision Support for Product Development: Using Computational Intelligence for Information Acquisition in Enterprise Databases

This book describes how  to use computational intelligence and artificial intelligence tools to  improve the decision-making process in new product development. These  approaches, including artificial neural networks and constraint  satisfaction solutions, enable a more precise prediction of product  development performance compared to widely used multiple regression  models. They support decision-makers by providing more reliable  information regarding, for example, project portfolio selection and  project scheduling.

The  book is appropriate for computer scientists, management scientists,  students and practitioners engaged with product innovation and  computational intelligence applications.