Fuzzy Optimization and Decision Making Techniques for Engineering Processes FLINS 2004




Fuzzy Optimization and Decision Making Techniques for Engineering Processes


Guest Editors

Da Ruan, Jun Liu and Luis Martínez

A forthcoming issue of Soft Computing will be devoted to the presentation of original research involving Fuzzy Optimization and Decision Making Techniques for Engineering Processes.




The aim and scope:


Decision Making and Optimization are two core areas of egineering theory and practice. The problems related to both areas have been traditionally handled by either the deterministic or probablistic approaches. The first one completely ignoring uncertatinty, while the second one assumes that any uncertainty can be represented as a probability distribution. However in many occasions, in real problems (engineering, scheduling, planning) decisions should be made in environments dealing with information vague, imprecise and uncertain. It is common that the uncertainty will be non-probabilistic ( not in the form of a probabilistic distribution).


In such a case, the use of the fuzzy logic, that is  one of the main Soft Computing constituent techniques, has showed itself as an useful and successful tool to solve problems defined in enviroments dealing with non-probabilistic uncertainty in areas such as decision analisys, optimization, planning, scheduling, data mining, approximated reasoning, safety and risk evaluation, etc.


Fuzzy optimization and decision making are very broad subjects to be covered in this Special Issue. Thus, this issue presents several papers focus on the application of fuzzy techniques in Decision Making and Optimization for Engineering Processes. This specific area has not been widely covered in the specialized literature so taking advantage of the the sixth international FLINS conferences on computational Intelligent Systems for Applied Research, which was held at Duinse Polders, Blankenberge, Belgium on September 1-3, 2004. In which the several sessions about Decision Making , Fuzzy Optimization and Engineering Applications, we have considered a good chance to select original contributions and supply the lack of  literature in this topic.




The original contributions will be rigorously revised and expanded to become the papers currently presented in this issue.


This special issue is one part of ongoing progress report of FLINS activities and especially the result of FLINS 2004.



Submission Guidelines


Electronic submissions in PDF are strongly encouraged, and will expedite the review and publication process. Please e-mail your submission letter to including the name of the file, and mentioning that it is for the Special Issue on Fuzzy Optimization and Decision Making Techniques for Engineering.


Submissions must follow the jounal style and should be no longer than 10 pages in length, including title page and references.


Final formatting requirements are described  in the link templates on the web page:


To aid planning and organization, I would appreciate an e-mail of intent to submit a paper, including:

  1. author information,
  2. a tentative title,
  3. abstract
  4. and an estimated number of pages) as early as possible.


Important Dates


Submission of extended papers:                                       December 31th, 2004

Notification of review results:                                          April 1st, 2005

Submission of corrected papers:                                       June 15th, 2005

Notification of final review results:                                  September 15th, 2005

Submission of final papers wrt SC guidelines:                 October 20th, 2005

Submission of accepted papers to the editor in-chief:      November 10th, 2005