Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
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
Interactive Two Response Design Parameter Optimization Considering Prediction Errors and the Specification Region
Date
2019-10-20
Author
Özateş Gürbüz, Melis
Köksal, Gülser
Köksalan, Murat
Metadata
Show full item record
Item Usage Stats
125
views
0
downloads
Cite This
URI
https://cdn2.hubspot.net/hubfs/3449182/2019_INFORMS_Annual_Meeting_Back_Matter.pdf?__hssc=194041586.1.1581681064548&__hstc=194041586.bb8c912dcf132d11e87ffab430c61326.1581681064548.1581681064548.1581681064548.1&__hsfp=3949977415&hsCtaTracking=820e16f1-b6bc-4fc7-bdf4-87cae6d9bfaf%7C3f517cf7-0c21-47b0-a192-5cd115cf9349
https://hdl.handle.net/11511/74222
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Interactive mean variance covariance optimization for two responses
Özateş, Melis; Köksal, Gülser; Köksalan, Mustafa Murat (null; 2015-11-01)
Interactive evolutionary multi-objective optimization for quasi-concave preference functions
Fowler, John W.; Gel, Esma S.; Köksalan, Mustafa Murat; Korhonen, Pekka; Marquis, Jon L.; Wallenius, Jyrki (2010-10-16)
We present a new hybrid approach to interactive evolutionary multi-objective optimization that uses a partial preference order to act as the fitness function in a customized genetic algorithm. We periodically send solutions to the decision maker (DM) for her evaluation and use the resulting preference information to form preference cones consisting of inferior solutions. The cones allow its to implicitly rank solutions that the DM has not considered. This technique avoids assuming an exact form for the pref...
Interactive boundary layer calculation over an airfoil and its resulting wake
Özgen, Serkan; Alemdaroğlu, H. Nafiz; Department of Aeronautical Engineering (1994)
Interactive outranking approaches for multicriteria decision-making problems with imprecise information
Özerol, G; Karasakal, Esra (Informa UK Limited, 2008-9)
PROMETHEE is a powerful method, which can solve many multiple criteria decision making (MCDM) problems. It involves sophisticated preference modelling techniques but requires too much a priori precise information about parameter values (such as criterion weights and thresholds). In this paper, we consider a MCDM problem where alternatives are evaluated on several conflicting criteria, and the criterion weights and/or thresholds are imprecise or unknown to the decision maker (DM). We build robust outranking ...
Interactive three-dimensional virtual environment to reduce the public speaking anxiety levels of novice software engineers
Nazligul, M. Denizci; Yilmaz, M.; Gulec, U.; YILMAZ, AYŞE; İşler, Veysi; O'Connor, R. V.; Gozcu, M. A.; Clarke, P. (Institution of Engineering and Technology (IET), 2019-04-01)
Software engineering is a set of activities that rely not only on the technical tasks but also require abilities focused on social duties such as daily meetings and product introduction presentations. However, engineers may experience elevated levels of anxiety when required to present their work in an unfamiliar environment. More specifically, they may suffer from public speaking anxiety even though they are supposed to be effective in those social tasks as well as in their engineering activities. Fortunat...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Özateş Gürbüz, G. Köksal, and M. Köksalan, “Interactive Two Response Design Parameter Optimization Considering Prediction Errors and the Specification Region,” 2019, Accessed: 00, 2021. [Online]. Available: https://cdn2.hubspot.net/hubfs/3449182/2019_INFORMS_Annual_Meeting_Back_Matter.pdf?__hssc=194041586.1.1581681064548&__hstc=194041586.bb8c912dcf132d11e87ffab430c61326.1581681064548.1581681064548.1581681064548.1&__hsfp=3949977415&hsCtaTracking=820e16f1-b6bc-4fc7-bdf4-87cae6d9bfaf%7C3f517cf7-0c21-47b0-a192-5cd115cf9349.