Año de realización: 2006

Breve descripción: 7th International FLINS Conference on Applied Artificial Intelligence (FLINS 2006) August 29-31, 2006, Genova, Italy

An Invited Session of the 7th International FLINS Conference on

Applied Artificial Intelligence (FLINS 2006)

 

August 29-31, 2006, Genova, Italy (http://www.fuzzy.ugent.be/flins2006)

 

CALL FOR PAPERS

 

Evaluation processes have been widely used in quality inspection of products and services, performance appraisal and management and in many other fields. The application of intelligent techniques to these processes have opened new promising lines in this research area. Additionally the application of some decision analysis techniques to evaluation processes have produced successful results.

 

This invited session aims at providing an opportunity for researchers working in both research areas to discuss the state-of-the-art science and technologies, and their applications, to share their new ideas, original research results and practical experiences. Authors are invited to submit their manuscripts to the invited session on Intelligent Evaluation and Decision-Making. All papers submitted in this session will be peer-reviewed. Accepted papers will be published in the conference proceedings as the book “Applied Artificial Intelligence” by World Scientific (to be EI indexed). Final papers should be prepared according to the publisher’s instructions:

 

http://www.worldscientific.com/style/proceedings_style.shtml.

 

Important Dates

 

Confirmation of participation:           December 30, 2005

Submission of papers:                        January 30, 2006

Notification of acceptance:               February 28, 2006

Final Manuscript due:                        April 15, 2006

 

Please make submissions by email the organizer of this invited session:

Luis Martínez López
Computing School
Department of Computer Science. Campus Las Lagunillas, s/n
University of Jaén
E-23071 Jaén.  Spain
e-mail: martin@ujaen.es
http://wwwdi.ujaen.es/~martin
Fax: +34 953 212472
Tel: +34 953 211902

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