The Minimal Covering Location and Sizing Problem in the Presence of Gradual Cooperative Coverage

Author(s):  
Mumtaz Karatas ◽  
Levent Eriskin
Keyword(s):  
2010 ◽  
Vol 38 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Alex Scott ◽  
Mark Fey

2006 ◽  
Vol 12 (5) ◽  
pp. 651-655 ◽  
Author(s):  
A. Aguglia ◽  
G. Korchmáros ◽  
A. Siciliano
Keyword(s):  

1985 ◽  
Vol 14 (6) ◽  
pp. 337-364 ◽  
Author(s):  
Ming Huei Young ◽  
Saburo Muroga

Author(s):  
Cheng-Kai Hu ◽  
Fung-Bao Liu ◽  
Cheng-Feng Hu

This paper considers the identification of problems which generate anomalies at firms through the observed symptoms on the basis of fuzzy relations and Zadeh's compositional rule of inference. A procedure for determining the fuzzy cause vector of an economic and financial diagnosis problem is proposed, which consists of the design of fuzzy relational matrix and the resolution of a system of fuzzy relational equations. An efficient algorithm for solving fuzzy relational equations in terms of the associated set covering problem is introduced. It utilizes a back-tracking method to generate each minimal covering, where no duplicate or non-minimal coverings exist. A numerical example of firms' insolvency causes diagnosis is also included.


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