Paper Info
Title
Using Gradual Numbers for Solving Fuzzy-Valued Combinatorial Optimization Problems
Abstract
In this paper a general approach to combinatorial optimization problems with fuzzy weights is discussed. The results, valid for the interval-valued problems, are extended to the fuzzy-valued ones by exploiting the very recent notion of a gradual number. Some methods for determining the exact degrees of possible and necessary optimality and the possibility distributions of deviations of solutions and elements are proposed. The introduced notions are illustrated by practical examples.
Year
DOI
Venue
2007
10.1007/978-3-540-72950-1_65
IFSA (1)
Keywords
Field
DocType
gradual number,practical example,necessary optimality,fuzzy weight,fuzzy-valued combinatorial optimization problems,gradual numbers,optimization problem,general approach,interval-valued problem,exact degree,recent notion,possibility distribution
Mathematical optimization,Combinatorial optimization problem,Quadratic assignment problem,Computer science,Fuzzy logic,Fuzzy transportation,Combinatorial optimization,Possibility distribution,Optimization problem
Conference
Volume
ISSN
Citations 
4529
0302-9743
10
PageRank 
References 
Authors
0.65
11
2
Name
Order
Citations
PageRank
Adam Kasperski135233.64
Paweł Zieliński227419.73