Finding Product Family and Principal Variant Features Using Principal Component Analysis

Karadeniz, Mehmet Bilsay
Toğay, Cengiz
Doğru, Ali Hikmet


Finding preferred solutions under weighted Tchebycheff preference functions for multi-objective integer programs
Karakaya, Gülşah; Köksalan, M. (2023-07-01)
Many interactive approaches in multi-objective optimization assume the existence of an underlying preference function that represents the preferences of a decision maker (DM). In this paper, we develop the theory and an exact algorithm that guarantees finding the most preferred solution of a DM whose preferences are consistent with a Tchebycheff function for multi-objective integer programs. The algorithm occasionally presents pairs of solutions to the DM and asks which one is preferred. It utilizes the pre...
Obtaining soil-water characteristic curves by numerical modeling of drainage in particulate media /
Shoarian Sattari, Amir; Toker, Nabi Kartal; Department of Civil Engineering (2014)
The soil water characteristic curve (SWCC) reflects fundamental drainage properties of partially saturated soils by revealing the relation between soil suction and water content. Although during the past decades, various experimental methods have been proposed for obtaining the SWCC, these approaches are generally time consuming, expensive and highly dependent on operator skills. One solution to this has been sought through various empirical or physico-empirical formulations that link the SWCC to common soi...
Finding highly preferred points for multi-objective integer programs
LOKMAN, BANU; Köksalan, Mustafa Murat (Informa UK Limited, 2014-01-01)
This article develops exact algorithms to generate all non-dominated points in a specified region of the criteria space in Multi-Objective Integer Programs (MOIPs). Typically, there are too many non-dominated points in large MOIPs and it is not practical to generate them all. Therefore, the problem of generating non-dominated points in the preferred region of the decision-maker is addressed. To define the preferred region, the non-dominated set is approximated using a hyper-surface. A procedure is developed...
Finding breach paths using the watershed segmentation algorithm in surveillance wireless sensor networks
Onur, Ertan; Delic, H; Akarun, L (2004-01-01)
Considering wireless sensor networks for border surveillance, one of the major concerns is sensing coverage. Breach probability can be used as a measure to analyze the tradeoffs and to determine the required number of sensors to be deployed to obtain a certain security level. In this paper, the sensing coverage of surveillance wireless sensor networks is studied by utilizing a well-known image processing technique. By applying the watershed segmentation algorithm to the sensing coverage graph, the contour p...
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Esgin, Eren; Karagöz, Pınar (2011-07-01)
Although contemporary information systems are intensively utilized in enterprises, their actual impact in automating complex business process is still constrained by the difficulties coincided in design phase. In this study, a hybrid data analysis methodology to business process modeling that is based on using from-to chart is further enhanced to discover connection types and include in the process model. From-to chart is basically used as the front-end to figure out the observed transitions among the activ...
Citation Formats
M. B. Karadeniz, C. Toğay, and A. H. Doğru, “Finding Product Family and Principal Variant Features Using Principal Component Analysis,” 2018, Accessed: 00, 2021. [Online]. Available: