TY  - GEN
AB  - This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph. D., Ph. D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.
AU  - Zapata-Cortes, Julian Andres,
AU  - Alor-Hernández, Giner,
AU  - Sanchez-Ramirez, Cuauhtemoc,
AU  - García-Alcaraz, Jorge Luis,
CN  - HD30.23
DO  - 10.1007/978-3-030-71115-3
DO  - doi
ID  - 1437297
KW  - Decision making.
KW  - Artificial intelligence.
KW  - Prise de décision.
KW  - Intelligence artificielle.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-71115-3
N2  - This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph. D., Ph. D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.
SN  - 9783030711153
SN  - 3030711153
T1  - New perspectives on enterprise decision-making applying artificial intelligence techniques /
TI  - New perspectives on enterprise decision-making applying artificial intelligence techniques /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-71115-3
VL  - volume 966
ER  -