{"id":96097,"date":"2026-06-18T08:56:57","date_gmt":"2026-06-18T08:56:57","guid":{"rendered":"https:\/\/sinbad2.ujaen.es\/?post_type=actividad&#038;p=96097"},"modified":"2026-06-18T08:57:27","modified_gmt":"2026-06-18T08:57:27","slug":"fuzzy-optimization-and-decision-making-techniques-for-engineering-processes","status":"publish","type":"actividad","link":"https:\/\/sinbad2.ujaen.es\/?actividad=fuzzy-optimization-and-decision-making-techniques-for-engineering-processes","title":{"rendered":"Fuzzy\u00a0Optimization\u00a0and Decision Making Techniques for Engineering Processes"},"content":{"rendered":"\n<br><br><p><span class=\"titulosInfo\">A\u00f1o de realizaci\u00f3n:<\/span> 2004<\/p><p><span class=\"titulosInfo\">Breve descripci\u00f3n:<\/span> Special issue en SOFT COMPUTING<\/p><p><p><strong>Guest Editors<\/strong><\/p>\n<p>Da Ruan, Jun Liu and Luis Mart\u00ednez<\/p>\n<p>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.<\/p>\n<p><strong>The aim and scope:<\/strong><\/p>\n<p>Decision-making and Optimization are two core areas of engineering theory and practice. The problems related to both areas have been traditionally handled by either the deterministic or probabilistic approaches. The first one completely ignores uncertainty, while the second one assumes that any uncertainty can be represented as a probability distribution. However, on many occasions, in real problems (engineering, scheduling, planning), decisions should be made in environments dealing with vague information , imprecise, and uncertain. It is common that the uncertainty will be non-probabilistic (not in the form of a probabilistic distribution). <\/p>\n<p>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 environments dealing with non-probabilistic uncertainty in areas such as decision analisys, optimization, planning, scheduling, data mining, approximated reasoning, safety and risk evaluation, etc.<\/p>\n<p>Fuzzy optimization and decision making are very broad subjects to be covered in this Special Issue. Thus, this issue presents several papers focused 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 on this topic.<\/p>\n<p>The original contributions will be rigorously revised and expanded to become the papers currently presented in this issue.<\/p>\n<p>This special issue is one part of an ongoing progress report of FLINS activities and especially the result of FLINS 2004.<\/p>\n<\/p>\n","protected":false},"author":6,"featured_media":0,"template":"","meta":{"_acf_changed":false,"_links_to":"","_links_to_target":""},"class_list":["post-96097","actividad","type-actividad","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sinbad2.ujaen.es\/index.php?rest_route=\/wp\/v2\/actividad\/96097","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sinbad2.ujaen.es\/index.php?rest_route=\/wp\/v2\/actividad"}],"about":[{"href":"https:\/\/sinbad2.ujaen.es\/index.php?rest_route=\/wp\/v2\/types\/actividad"}],"author":[{"embeddable":true,"href":"https:\/\/sinbad2.ujaen.es\/index.php?rest_route=\/wp\/v2\/users\/6"}],"wp:attachment":[{"href":"https:\/\/sinbad2.ujaen.es\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=96097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}