Multiple criteria decision making using a distance function

Download

035621.pdf

Date

1994

Author

Özcan, A Tuncer

Metadata

Show full item record

Item Usage Stats

88
views

0
downloads

URI

https://hdl.handle.net/11511/9943

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Multiple criteria sorting methods based on support vector machines Duman, Aslı; Karasakal, Esra; Department of Industrial Engineering (2010) This study addresses sorting problems with predefined ordinal classes. We develop a new method based on Support Vector Machine (SVM) model, which is mainly used for nominal binary or multi-class classification processes. In the proposed method, the SVM model is extended to include the preferences of the decision maker and the ordinal relationship between classes in sorting problems. New sets of constraints are added to the SVM model. We demonstrate the performance of the proposed method through several data...
Multiple hypothesis tracking for multiple visual targets Türker, Burcu; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2010) Visual target tracking problem consists of two topics: Obtaining targets from camera measurements and target tracking. Even though it has been studied for more than 30 years, there are still some problems not completely solved. Especially in the case of multiple targets, association of measurements to targets, creation of new targets and deletion of old ones are among those. What is more, it is very important to deal with the occlusion and crossing targets problems suitably. We believe that a slightly modif...
Multiple Model Adaptive Estimation Algorithm for Systems with Parameter Change Söken, Halil Ersin (2016-01-01) This paper presents an autonomous multiple model (AMM) estimation algorithm for systems with sudden parameter changes. Estimates of a bank of Kalman filters (KFs) are merged based on a newly defined likelihood function. The function is composed of two measures, one for weighting the filters during the steady state mode and the other for weighting when there is a change in the parameters. Compared to the interacting multiple model (IMM) method, the KFs do not interact but compete on the basis of the likeliho...
Multiple description coding of 3D geometry with forward error correction codes Bici, M. Oguz; Norkin, Andrey; Akar, Gözde; Gotchev, Atanas; Astola, Jaakko (2007-05-09) This work presents a multiple description coding (MDC) scheme for compressed three dimensional (3D) meshes based on forward error correction (FEC). It allows flexible allocation of coding redundancy for reliable transmission over error-prone channels. The proposed scheme is based on progressive geometry compression, which is performed by using wavelet transform and modified SPIHT algorithm. The proposed algorithm is optimized for varying packet loss rates (PLR) and channel bandwidth. Modeling distortion-rat...
Multiple Shape Correspondence by Dynamic Programming Sahillioğlu, Yusuf (2014-10-01) We present a multiple shape correspondence method based on dynamic programming, that computes consistent bijective maps between all shape pairs in a given collection of initially unmatched shapes. As a fundamental distinction from previous work, our method aims to explicitly minimize the overall distortion, i.e., the average isometric distortion of the resulting maps over all shape pairs. We cast the problem as optimal path finding on a graph structure where vertices are maps between shape extremities. We e...

Citation Formats

A. T. Özcan, “Multiple criteria decision making using a distance function,” Middle East Technical University, 1994.