Election of Deputy Candidates for Nomination with AHP-Promethee Methods

Kazan, Halim; Özçelik, Salih; Hobikoğlu, Elif Haykır

doi:10.1016/j.sbspro.2015.06.141

Cited by 29 publications

(19 citation statements)

References 6 publications

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“…Fuzzy logic covers successfully vagueness and uncertainty that are often present in decision-supporting models. The Saaty's scale, which is an indispensable part of the AHP method, shows good results in the criteria weight coefficients defining, and it is increasingly applied with other methods (Ertuğrul, Karakaşoğlu, 2009), (Das, et al, 2012), (Beikkhakhian, et al , 2015), (Zhu, et al, 2015), (Sara, et al, 2015), (Kazan, et al 2015), (Knežević, et al, 2015). The MABAC method provides stable (consistent) solutions and it represents a reliable tool for rational decision-making .…”

Section: Description Of the Methods Used In The Hybrid Fahp-mabac Modelmentioning

confidence: 99%

Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions

Darko¹,

Dragan²,

Samed³

2016

Vojnotehni?ki glasnik

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Section: Description Of the Methods Used In The Hybrid Fahp-mabac Modelmentioning

confidence: 99%

Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions

Darko¹,

Dragan²,

Samed³

2016

Vojnotehni?ki glasnik

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“…The weights of the factors affecting the selection of courses are calculated with AHP, the courses are sequencing with TOPSIS Method. Bansal and Kumar [15], Bedir and Eren [16], Bedir et al [17] and Kazan et al [18] are used AHP and PROMETHEE methods in their studies together for doing selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Course Selection with AHP & PROMETHEE Methods for Post Graduate Students: An Application in Kirikkale University Graduate School of Natural and Applied Sciences

2016

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Abstract. Post Graduate Study has a very important role in people's career planning. Besides, it helps for gaining expertising on their fields. Specializing must be in the right area to reach their targets in line with people's interests. The aim of the study is to propose a model for students that determines which courses will be chosen on master course selection and this model gives an application example. In this study, course selection problem is discussed for post graduate students in Industrial Engineering Department of Kirikkale University. All criteria that are effected for selecting a course are identified by the help of survey then, significance levels are determined with using Analytical Hierarchy Process (AHP) which is a Multi-Criteria Decision Making Method. According to the weights which are determined before in AHP results, six classes weighted by PROMETHEE method in Industrial Engineering Department.

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“…In literature, multi-criteria decision making (MCDM) is widely used in various fields, such as the selection of appropriate personnel in the recruitment process, choice of equipment in production, selection of projects, manager selection etc. (Kabak et al, 2012;Kazana et al, 2015;Tuan, 2017Tuan, , 2018Huang, 2017). Some research studies focus on the comparison and review of MCDM (Stanujkic et al, 2013;Zavadskas et al, 2014;Mardani et al, 2015, Khorami & Ehsani, 2015Tuan, 2017;Huang, 2017) are reviewed.…”

Section: Introductionmentioning

confidence: 99%

“…According to the decision maker (system user), the proposed flexible system allows selecting the fuzzy weights and fuzzy evaluation functions of the criteria. Kazana (2015) shows in his research that totally 15 criteria are taken into account when selecting deputy candidates for political parties. The weight of the criteria is evaluated with the party representatives by the method of the ana-lytical hierarchy process (AHP), using the FARE (Factor Relationship) method.…”

Section: Introductionmentioning

confidence: 99%

MCDM approach for weighted ranking of candidates in e-voting

Alguliyev

Alıguliyev

Yusifov

2019

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The aim of the study is the application of multi-criteria evaluation methods for ranking of candidates in e-voting. Due to the potential to enhance the electoral efficiency in e-voting multiple criteria, such as personality traits, activity and reputation in social media, opinion followers on election area and so on for the selection of qualified personnel can be considered. In this case, the number of criteria excesses in the decision-making stage directed us to the use of a multi-criteria decision making model (MCDM). This paper proposes MCDM for weighted ranking of candidates in e-voting. Criteria for the candidates' ranking and selection are determined and each voter uses the linguistic scales for the ranking of each candidate. Candidates' ranking is evaluated according to all criteria. In a numerical study, it is provided the candidates' evaluation on the base of selected criteria and ranked according to the importance of criteria. To assess the importance of the criteria and to evaluate the suitability of the candidates for each of the criteria, the voters use linguistic variables. In practice, the proposed model can use different evaluation scales for the selection of candidates in e-voting. The proposed model allows selecting a candidate with the competencies based on the criteria set out in the e-voting process and making more effective decisions.

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Election of Deputy Candidates for Nomination with AHP-Promethee Methods

Cited by 29 publications

References 6 publications

Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions

Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions

Course Selection with AHP & PROMETHEE Methods for Post Graduate Students: An Application in Kirikkale University Graduate School of Natural and Applied Sciences

MCDM approach for weighted ranking of candidates in e-voting

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