Applying fuzzy logic to personnel assessment: a case study

Capaldo, Guido; Zollo, Giuseppe

doi:10.1016/s0305-0483(01)00047-0

Cited by 60 publications

(40 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Some examples of the studies conducted with fuzzy logic in hypermedia practices in cooperative learning and education include; the studies of Hadjileontiadou and Hadjileontiadis (2003), Mullier (1999) and Kavcic (2001), Kavcic et al (2003); Barros and Verdejo (1999), Hadjileontiadou, et al (2004); Gravani et al (2007). Some of the studies conducted with fuzzy logic for student-centered learning approach include the studies of Capaldo and Zollo (2001), Dweiri and Kablan (2006). Zafra and Ventura (2009) predicted whether a student can pass or fail.…”

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Bahadir

2017

HIG

View full text Add to dashboard Cite

Postgraduate education, which is regarded as necessary in the field of education in order to improve the qualifications of teachers seen as culture workers, has become more important than it used to be. In this context, the attitudes of prospective teachers toward pursuing a postgraduate education are crucial. In this study, all of the components, including grades, scores and the attitudes of prospective teachers were interpreted by a fuzzy logic-based evaluation for admission to postgraduate education. The attitudes of the underpostgraduate students towards postgraduate education were determined according to 'the Postgraduate Attitude Scale' . The students' four year college grade point averages and 'academic personnel and postgraduate education entrance exam' scores were also taken into account, and their eligibility for postgraduate education was assessed by using fuzzy logic rules. The study was conducted with 155 prospective teachers who were underpostgraduate students in the program of mathematics teaching for elementary school. During the study, after the test operation was done with one-third of the data, an 80.77% result of the general prediction rate was obtained. These results were further analyzed in detail, and 76 out of 96 students who were eligible for postgraduate education and 48 out of the 59 remaining students were predicted correctly. The data obtained from the study was assessed using fuzzy logic methods, and this approach has proven to reach more effective and accurate results. Keywords: Fuzzy logic, Postgraduate education, Attitude ÖzBir kültür çalışanı olarak değerlendirilen öğretmenlerin niteliklerini arttırmak için günümüzde diğer alanlarda olduğu gibi eğitim alanında da gereklilik gibi görülen lisansüstü eğitim, geçmiş dönemlere nazaran daha önemli hale gelmiştir. Öğretmen adayların lisansüstü eğitime dair tutumları bu bağlamda oldukça önemlidir. Lisansüstü eğitime girişte lisans mezuniyet ortalamaları ve 'akademik personel ve lisansüstü eğitimi giriş sınavı' puanları ağırlıklı olarak dikkate alınmaktadır. Araştırmamızda bu verilerin yanında öğretmen adaylarının tutumlarını da dikkate alarak, lisansüstü eğitime girişte bütün bu bileşenlerin bulanık mantık tabanlı bir değerlendirme ile yorumlanmasına yer verilmektedir. Bu çalışmada, öğrencilerin lisansüstü eğitime yönelik tutumlarının belirlenmesinde 'Lisansüstü Tutum Ölçeği' ile elde edilmiş sonuçlar yanı sıra öğretmen adaylarının lisans mezuniyet ortalamaları ve ' Akademik Personel ve Lisansüstü Eğitimi Giriş Sınavı' puanları da dikkate alınarak lisansüstü eğitime uygun öğrencilerin değerlendirmesi, bulanık mantık kurallarıyla gerçekleştirilmiştir. Çalışma 155 ilköğretim matematik öğretmenliği öğrencisi ile yürütülmüştür. %80.77'lik genel öngörü oranı ile sınıflama yapılmıştır. Öğretmen adaylarının tutum puanları ve eldeki diğer verilerin değerlendirmesi bulanık mantık yöntemi ile yapılmış ve bu yaklaşımla daha etkin ve doğru sonuçlara ulaşılabileceği gösterilmiştir.

show abstract

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Bahadir

2017

HIG

View full text Add to dashboard Cite

show abstract

“…Fuzzy set theory has been proposed (Miller and Feinzig, 1993;Karsak, 2001;Capaldo and Zollo, 2001) as have the applications of linear weighted sums familiar in multicriteria analyses (Bohanec, Urh and Rajkovič,1992;Gardiner and Armstrong-Wright, 2000;Spyridakos et al, 2001). Timmermans and Vlek (1992; explore how the use of formal methods may help in overcoming bias and information overload and conclude that using a weighted sum for aggregation is of use for some problems but that it is unnecessary for small problems and fails to be of help in large complex problems.…”

Section: Formal Methodsmentioning

confidence: 99%

Minimally biased weight determination in personnel selection

Jessop

2004

European Journal of Operational Research

View full text Add to dashboard Cite

Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractThe derivation of weights from preference statements is subject to difficulties, some of which are due to the unreliability of the judgement of the decision maker. To overcome this Jaynes' principle of maximum entropy has been invoked and may be applied either to weights or to the linear weighted scores of the candidates in a selection problem. When candidates are relatively few the two strategies give different styles of interaction. These are discussed and illustrated by application to a problem of personnel selection.

show abstract

“…In a case study senior economic and financial analyst selection for the corporate unit of the telephone company was done with this model. Capaldo and Zollo (2001) presented a model based on a case study in FIAT Research Centre (CRF) that is a major Italian company. They tried to find decision formulations and decision samples to be used on the basis of the evaluation method adopted by the companies.…”

Section: Fuzzy Linguistic Evaluationmentioning

confidence: 99%

Applications of fuzzy decision making for personnel selection problem: A review

Afshari

2014

JEMC

View full text Add to dashboard Cite

Personnel selection determines the input quality of personnel, therefore, plays a decisive role in human resource management. Personnel selection problem has been studied extensively. Selecting the best personnel among many alternatives is a multi-criteria decision making (MCDM) problem. The necessity of dealing with uncertainty in real world problems has been a long-term research challenge that has originated different methodologies and theories. Fuzzy decision making along with their extensions have provided a wide range of tools that are able to deal with uncertainty in different types of problems. Fuzzy decision making methods have become increasingly popular in decision making for personnel selection. Various decision making approaches have been proposed to solve the problem. This paper presents a comprehensive literature review of the applying Fuzzy decision making techniques in personnel selection problem.

show abstract

Applying fuzzy logic to personnel assessment: a case study

Cited by 60 publications

References 8 publications

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Minimally biased weight determination in personnel selection

Applications of fuzzy decision making for personnel selection problem: A review

Contact Info

Product

Resources

About