Knowledge-Based Intelligent Techniques in Industry

Authors:
L. C. Jain;Y. Takefuji;R. P. Johnson
Affiliations:
-;-;-
Venue:
Knowledge-Based Intelligent Techniques in Industry
Year:
1998

Citing 0
Cited 6

Industrial applications of fuzzy systems

SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Framework of agent-based intelligence system with two-stage decision-making process for distributed dynamic scheduling

Applied Soft Computing
Artificial intelligence for monitoring and supervisory control of process systems

Engineering Applications of Artificial Intelligence
Design concept evaluation in product development using rough sets and grey relation analysis

Expert Systems with Applications: An International Journal
A rough set based QFD approach to the management of imprecise design information in product development

Advanced Engineering Informatics
A knowledge-based technique for constraints satisfaction in manpower allocation

ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII

Quantified Score

Hi-index	0.00

Visualization

Abstract

From the Publisher:In one volume, Knowledge-Based Intelligent Techniques in Industry comprehensively addresses the more important developments in the use of intelligent techniques in solving industrial problems. Its primary readership includes electrical engineers in industry as well as researchers working in computational intelligence research labs - outlining state-of-the-art techniques and cost-effective solutions.