Ekin, Cansu Çiğdem

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Aydin, Cansu Cigdem
Cansu Cigdem, Ekin
E.,Cansu Çiğdem
Aydin C.
Ekin, Cansu Cigdem
Ekin, Cansu
Aydin, C. C.
E., Cansu Çiğdem
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Ekin, Cansu Çiğdem
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Cansu Çiğdem, Ekin
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Ekin C.
Aydın, Cansu Ciğdem
Rouyendegh, Babak Daneshvar
Rouyendegh (B Erdebilli), Babak Daneshvar
Job Title
Doçent Doktor
Email Address
cansu.aydin@atilim.edu.tr
Main Affiliation
Computer Engineering
Status
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
1
Research Products
ZERO HUNGER2
ZERO HUNGER
2
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
2
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QUALITY EDUCATION4
QUALITY EDUCATION
8
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
1
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
1
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LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
Documents

16

Citations

167

Scholarly Output

43

Articles

23

Views / Downloads

53/58

Supervised MSc Theses

5

Supervised PhD Theses

0

WoS Citation Count

556

Scopus Citation Count

654

Patents

0

Projects

0

WoS Citations per Publication

12.93

Scopus Citations per Publication

15.21

Open Access Source

8

Supervised Theses

5

JournalCount
Tehnicki Vjesnik4
3rd International Conference on Information Management and Evaluation (ICIME) -- APR 16-17, 2012 -- Atilim Univ, Performance Management & Applicat Res Ctr, Ankara, TURKEY3
Journal of Applied Mathematics2
Journal of Systems Architecture2
UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 1435602
Current Page: 1 / 6

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Scholarly Output Search Results

Now showing 1 - 4 of 4
  • Article
    Citation - WoS: 29
    Citation - Scopus: 33
    Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy Mcdm Approach: a Theoretical Framework
    (Hindawi Ltd, 2018) Abdulgader, Fathia Sghayer; Eid, Rajeh; Rouyendegh (B Erdebilli), Babak Daneshvar; Rouyendegh , Babak Daneshvar
    In complex decision making, using multicriteria decision-making (MCDM) methodologies is the most scientific way to ensure an informed and justified decision between several alternatives. MCDMs have been used in different ways and with several applications that proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM methodologies are studied, along with the different techniques implemented to increase their accuracy and precision. The main aim of the study is to develop a hybrid MCDM process that combines the strengths of several MCDM methods and apply it to choose the best fit maintenance policy/strategy for industrial application. Moreover, fuzzy linguistic terms are utilized in all of the used MCDM techniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed on studies that have used MCDM methods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy DEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of fuzzy DEMATEL in establishing interrelationships between several criteria, as well as performing a pairwise comparison between the criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method by establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six main criteria, twenty criteria, and five alternatives are selected from the literature for the model application.
  • Article
    Citation - WoS: 20
    Citation - Scopus: 26
    Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making
    (Hindawi Ltd, 2012) Rouyendegh, Babak Daneshvar
    There are various methods regarding project selection in different fields. This paper deals with an actual application of construction project selection, using two aggregation operators. First, the opinion of experts is used in a model of group decision making called intuitionistic fuzzy TOPSIS (IFT). Secondly, project evaluation is formulated by dynamic intuitionistic fuzzy weighted averaging (DIFWA). Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers (DMs) for rating the importance of criteria and alternatives. A numerical example for project selection is given to clarify the main developed result in this paper.
  • Article
    Citation - WoS: 23
    Citation - Scopus: 39
    The Dea and Intuitionistic Fuzzy Topsis Approach To Departments' Performances: a Pilot Study
    (Hindawi Publishing Corporation, 2011) Rouyendegh, Babak Daneshvar; Daneshvar Rouyendegh, Babak
    This paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis (DEA) to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. First, the alternative evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, we use the opinion of experts to be applied into a model of group Decision-Making (DM) called the Intuitionistic Fuzzy TOPSIS (IFT) method. The results of both methods are then multiplied to obtain the results. DEA and Intuitionistic Fuzzy TOPSIS ranking do not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all units by aggregate individual opinions of decision makers for rating the importance of criteria and alternatives.
  • Article
    Citation - WoS: 39
    Selecting the Best Project Using the Fuzzy Electre Method
    (Hindawi Ltd, 2012) Rouyendegh, Babak Daneshvar; Erol, Serpil
    Selecting projects is often a difficult task. It is complicated because there is usually more than one dimension for measuring the impact of each project, especially when there is more than one decision maker. This paper is aimed to present the fuzzy ELECTRE approach for prioritizing the most effective projects to improve decision making. To begin with, the ELECTRE is one of most extensively used methods to solve multicriteria decision making (MCDM) problems. The ELECTRE evaluation method is widely recognized for high-performance policy analysis involving both qualitative and quantitative criteria. In this paper, we consider a real application of project selection using the opinion of experts to be applied into a model by one of the group decision makers, called the fuzzy ELECTRE method. A numerical example for project selection is given to clarify the main developed result in this paper.