TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-43897-5
DO  - doi
AB  - 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.
T1  - Decision support for product development :using computational intelligence for information acquisition in enterprise databases /
AU  - Relich, Marcin,
CN  - HF5415.153
CN  - Q335
ID  - 1433228
KW  - New products
KW  - Decision making
KW  - Artificial intelligence.
KW  - Computational intelligence.
KW  - Management.
KW  - Industrial management.
KW  - Prise de décision
KW  - Intelligence artificielle.
KW  - Intelligence informatique.
KW  - Gestion.
KW  - Gestion d'entreprise.
SN  - 9783030438975
SN  - 303043897X
TI  - Decision support for product development :using computational intelligence for information acquisition in enterprise databases /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-43897-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-43897-5
ER  -