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
A Multiple Criteria Ranking Method Based on Outranking Relations: An Extension for Prospect Theory
Date
2022-06-01
Author
Karasakal, Esra
Karasakal, Orhan
Şentürk, Hazel
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
190
views
0
downloads
Cite This
In this study, Prospect Theory is integrated into a well-known multiple criteria ranking method, PROMETHEE. PROMETHEE considers the outranking relations among alternatives based on the preference functions. Prospect Theory evaluates the alternatives with a difference function based on gains and losses. The preference functions of PROMETHEE are modified to capture the choice behavior of the decision maker. The proposed method is a generalization of PROMETHEE that can handle the higher loss impact case as well as the usual equal loss and gain impact. The proposed method is compared with PROMETHEE, PT-PROMETHEE that is an extension of PROMETHEE with reference alternative, and the weighted sum method using an exemplary data set and Times Higher Education (THE) World University Ranking 2019 and 2020 data. The results show that rankings of alternatives change significantly when the impact of losses is larger than gains.
URI
https://www.springer.com/gp
https://hdl.handle.net/11511/101636
Relation
Multiple Criteria Decision Making with Fuzzy Sets
Collections
Department of Industrial Engineering, Book / Book chapter
Suggestions
OpenMETU
Core
Extending an outranking multiple criteria decision making method to differentiate gain and loss
Şentürk, Hazel; Karasakal, Esra; Karasakal, Orhan; Department of Industrial Engineering (2021-9-10)
In this study, the integration of Prospect Theory into ranking and sorting methods based on the dominance relations is studied. The well-known multi-criteria ranking method PROMETHEE and the well-known multi-criteria sorting method FlowSort are extended by using the prospect theory perspective. The proposed methods are used to rank and sort the alternatives in the case where the impact of losses is greater than gains for the same amount. When the results are compared with the PROMETHEE and FlowSort methods,...
A metamodeling methodology involving both qualitative and quantitative input factors
Tunali, S; Batmaz, I (Elsevier BV, 2003-10-16)
This paper suggests a methodology for developing a simulation metamodel involving both quantitative and qualitative factors. The methodology mainly deals with various strategic issues involved in metamodel estimation, analysis, comparison, and validation. To illustrate how to apply the methodology, a regression metamodel is developed for a client-server computer system. In particular, we studied how the response time is affected by the quantum interval, the buffer size. and the total number of terminals whe...
A structural equation model examining the relationships among mathematics achievement, attitudes toward statistics, and statistics outcomes
Emmioğlu, Esma; Ok, Ahmet; Çapa Aydın, Yeşim; Department of Educational Sciences (2011)
The purpose of the current study was to investigate the structural relationships among self-reported mathematics achievement, attitudes toward statistics, and statistics outcomes by testing a structural model. The current study utilized a survey design. The participants of study consisted of 247 undergraduate and graduate students enrolled in statistics courses in a university in Turkey. The participants were from different disciplines such as engineering, education, and economics. The Turkish version of th...
A sequential classification algorithm for autoregressive processes
Otlu, Güneş; Candan, Çağatay; Çiloğlu, Tolga; Department of Electrical and Electronics Engineering (2011)
This study aims to present a sequential method for the classification of the autoregressive processes. Different from the conventional detectors having fixed sample size, the method uses Wald’s sequential probability ratio test and has a variable sample size. It is shown that the suggested method produces the classification decisions much earlier than fixed sample size alternative on the average. The proposed method is extended to the case when processes have unknown variance. The effects of the unknown pro...
A Frame for the Literature on M-learning
ALİOON, Yasaman; Delialioğlu, Ömer (2014-11-29)
This study attempts to find out overall aspects that have been considered in various mobile learning researches and projects. A systematic review of literature was carried out on the mobile learning domain that emphasized on scale, purposes, methods and type of used m-learning applications as well as school levels they have been implemented. Engagement of students, just-in-time learning were among the most frequently considered issues for selecting instructional methods in m-learning projects while inquiry-...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Karasakal, O. Karasakal, and H. Şentürk,
A Multiple Criteria Ranking Method Based on Outranking Relations: An Extension for Prospect Theory
. 2022.