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
Karar vericinin tercih ettiği çözümü bulmak içinfiltreleme yardımlı interaktif bir yöntem
Date
2018-06-29
Author
Tuncer Şakar, Ceren
Karakaya, Gülşah
Metadata
Show full item record
Item Usage Stats
113
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/74321
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Karar Vericinin Tercih Ettiği Çözümü Bulmak için Filtreleme Yardımlı İnteraktif bir Yöntem
TUNCER ŞAKAR, CEREN; Karakaya, Gülşah (2018-06-26)
Factors affecting the risk ratings assigned by decision-makers under uncertain situations: the case of international construction
Hayat, Ehsanullah; Dikmen Toker, İrem; Birgönül, Mustafa Talat; Department of Civil Engineering (2014)
Assessing risk in international construction projects is an essential part of the risk management process. Due to the lack of available data and knowledge about the project risks, objective/quantitative risk assessment is facing with some challenges and subjective/qualitative risk assessment is still a prevailing technique in the construction industry. The Probability-Impact (P-I) risk matrix/table is one of the frequently used techniques among the subjective/qualitative risk assessment methods, which usual...
Defect cause modeling with decision tree and regression analysis : a case study in casting industry
Bakır, Berna; Baykal, Nazife; Department of Information Systems (2007)
In this thesis, we study improvement of product quality in manufacturing industry by identifying and optimizing influential process variables that cause defects on the items produced. Real data provided by a manufacturing company from the metal casting industry were studied. Two well-known approaches, logistic regression and decision trees, were used to model the relationship between process variables and defect types. The approaches used were compared.
Mayer Vietoris sequence for persistent homology
Yılmaz, Yağmur; Önder, Mustafa Turgut; Department of Mathematics (2018)
Persistent homology is an algebraic method for understanding topological features of discrete objects or data (finite set of points with metric defined on it). In algebraic topology, the Mayer Vietoris sequence is a powerful tool which allows one to study the homology groups of a given space in terms of simpler homology groups of its subspaces. In this thesis, we study to what extent does persistent homology benefit from Mayer Vietoris sequence.
Satın alma davranışının beyin ön bölgesindeki izdüşümlerinin fnirs yöntemiyle incelenmesi
Zengin, Deniz; Girişken, Yener; Çakır, Murat Perit; Verim, Burcu; Çakar, Tuna; Aşçı, Onur(2014)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. Tuncer Şakar and G. Karakaya, “Karar vericinin tercih ettiği çözümü bulmak içinfiltreleme yardımlı interaktif bir yöntem,” 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/74321.