Paper Info
Title
On Possibilistic Sequencing Problems With Fuzzy Parameters
Abstract
In this paper a wide class of sequencing problems with imprecise parameters is discussed. The imprecision is modeled by using closed intervals and fuzzy intervals, whose membership functions are regarded as possibility distributions for the values of unknown parameters. A possibilistic interpretation of fuzzy problems is provided, some solution concepts are proposed and some algorithms for computing the solutions are designed.
Year
Venue
Keywords
2009
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE
Sequencing, min-max regret, possibility theory, fuzzy interval, fuzzy optimization and design
Field
DocType
Citations 
Mathematical optimization,Fuzzy classification,Defuzzification,Fuzzy set operations,Fuzzy mathematics,Fuzzy set,Fuzzy number,Type-2 fuzzy sets and systems,Membership function,Mathematics
Conference
0
PageRank 
References 
Authors
0.34
13
2
Name
Order
Citations
PageRank
Adam Kasperski135233.64
Paweł Zieliński222728.62