Tree network 1-median location with interval data: a parameter space-based approach.: An article from: IIE Transactions
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ISBN / ASINB000ALPBVW
ISBN-13978B000ALPBV2
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This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on May 1, 2005. The length of the article is 12018 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the author: We consider a family of 1-median location problems on a tree network where the vertex weights are ranges rather than point values. We define a new framework for making sound decisions under uncertainty which is primarily based on the interplay between the points in the tree and the data that induce the family of problems. An important feature of this framework is that it provides a novel understanding of the problem under uncertainty by collectively handling all possible realizations of the weights. The key element is the notion of a region of a optimality. Based on the regions of optimality, we define three optimality criteria and give low-order polynomial methods to compute the associated solution sets.
Citation Details
Title: Tree network 1-median location with interval data: a parameter space-based approach.
Author: Muhittin Hakan Demir
Publication:IIE Transactions (Refereed)
Date: May 1, 2005
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: 37 Issue: 5 Page: 429(11)
Distributed by Thomson Gale
From the author: We consider a family of 1-median location problems on a tree network where the vertex weights are ranges rather than point values. We define a new framework for making sound decisions under uncertainty which is primarily based on the interplay between the points in the tree and the data that induce the family of problems. An important feature of this framework is that it provides a novel understanding of the problem under uncertainty by collectively handling all possible realizations of the weights. The key element is the notion of a region of a optimality. Based on the regions of optimality, we define three optimality criteria and give low-order polynomial methods to compute the associated solution sets.
Citation Details
Title: Tree network 1-median location with interval data: a parameter space-based approach.
Author: Muhittin Hakan Demir
Publication:IIE Transactions (Refereed)
Date: May 1, 2005
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: 37 Issue: 5 Page: 429(11)
Distributed by Thomson Gale
