Decision Support for Product Development: Using Computational Intelligence for Information Acquisition in Enterprise Databases (Computational Intelligence Methods and Applications) - Softcover

Book 3 of 3: Computational Intelligence Methods and Applications

Relich, Marcin

 
9783030438999: Decision Support for Product Development: Using Computational Intelligence for Information Acquisition in Enterprise Databases (Computational Intelligence Methods and Applications)

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

Dr. Marcin Relich is a member of the Faculty of Economics and Management of the University of Zielona Gora. He is a lecturer in the Dept. of Controlling and Computer Applications in Economics, where he teaches IT in Economics and Management, Business Data Analysis, Management Information Systems, Decision-Support Systems, Decision Analysis, Business Simulations, and Project Management. His research interests include Management Information Systems (incl. Decision-Support Systems and Enterprise Resource Planning Systems), Project Management (incl. new product development), and early warning systems in business.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783030438968: Decision Support for Product Development: Using Computational Intelligence for Information Acquisition in Enterprise Databases (Computational Intelligence Methods and Applications)

Featured Edition

ISBN 10:  3030438961 ISBN 13:  9783030438968
Publisher: Springer, 2020
Hardcover