Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An interactive ranking-based multi-criteria choice algorithm with filtering: Applications to university selection
Date
2019-06-01
Author
Karakaya, Gülşah
Metadata
Show full item record
Item Usage Stats
34
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/71246
Journal
METU Studies in Development
Collections
Unclassified, Article
Suggestions
OpenMETU
Core
An interactive ranking-based multi-criteria choice algorithm with filtering: Applications to university selection
Karakaya, Gülşah (Orta Doğu Teknik Üniversitesi (Ankara, Turkey), 2019-6)
In this study, we develop an interactive algorithm to converge to the most preferred alternative of a decision maker (DM) among a set of discrete alternatives. The algorithm presents a limited number of alternatives to the DM and collects preference ranking of them iteratively. The preferences are modeled by a flexible and realistic preference function. To improve the performance, the alternatives presented are determined by a filtering method. We compare our algorithm with benchmark algorithms on nume...
An Integrated regression-bootstrap sampling scheduling method for probabilistic duration range estimation of construction projects
Barış, Özgür; Sönmez, Rifat; Department of Civil Engineering (2019)
The estimation of project duration is important in construction projects, since it directly affects the costs and the success of the projects. Schedule risks can be determined along with the duration estimations in order to assess the possibility of delay penalties and additional costs. Therefore, the accuracy of the estimation of project duration range is very crucial in construction industry to assess the schedule risks. This thesis presents an integrated approach of non-parametric bootstrap sampling meth...
An adaptive neighbourhood construction algorithm based on density and connectivity
İNKAYA, TÜLİN; Kayaligil, Sinan; Özdemirel, Nur Evin (2015-01-15)
A neighbourhood is a refined group of data points that are locally similar. It should be defined based on the local relations in a data set. However, selection of neighbourhood parameters is an unsolved problem for the traditional neighbourhood construction algorithms such as k-nearest neighbour and e-neighbourhood. To address this issue, we introduce a novel neighbourhood construction algorithm. We assume that there is no a priori information about the data set. Different from the neighbourhood definitions...
An interactive preference based multiobjective evolutionary algorithm for the clustering problem
Demirtaş, Kerem; Özdemirel, Nur Evin; Karasakal, Esra; Department of Industrial Engineering (2011)
We propose an interactive preference-based evolutionary algorithm for the clustering problem. The problem is highly combinatorial and referred to as NP-Hard in the literature. The goal of the problem is putting similar items in the same cluster and dissimilar items into different clusters according to a certain similarity measure, while maintaining some internal objectives such as compactness, connectivity or spatial separation. However, using one of these objectives is often not sufficient to detect differ...
An Interactive Algorithm for Multi-objective Route Planning
Tezcaner, Diclehan; Köksalan, Mustafa Murat (Springer Science and Business Media LLC, 2011-08-01)
We address the route selection problem for Unmanned Air Vehicles (UAV) under multiple objectives. We consider a general case for this problem, where the UAV has to visit several targets and return to the base. We model this problem as a combination of two combinatorial problems. First, the path to be followed between each pair of targets should be determined. We model this as a multi-objective shortest path problem. Additionally, we need to determine the order of the targets to be visited. We model this as ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. Karakaya, “An interactive ranking-based multi-criteria choice algorithm with filtering: Applications to university selection,”
METU Studies in Development
, pp. 0–0, 2019, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/71246.