TY  - JOUR
AU  - Vučurović, A.
AU  - Vučurović, I.
AU  - Stanković, I.
AU  - Bulajić, A.
AU  - Nikolić, D.
AU  - Teodorović, Smilja
AU  - Krstić, B.
PY  - 2015
UR  - http://jakov.kpu.edu.rs/handle/123456789/668
PB  - Amer Phytopathological Soc, St Paul
T2  - Plant disease
T1  - First Report of Garlic common latent virus Infecting Garlic in Serbia
VL  - 99
IS  - 6
SP  - 894
EP  - 895
DO  - 10.1094/PDIS-11-14-1229-PDN
ER  - 

@article{
author = "Vučurović, A. and Vučurović, I. and Stanković, I. and Bulajić, A. and Nikolić, D. and Teodorović, Smilja and Krstić, B.",
year = "2015",
publisher = "Amer Phytopathological Soc, St Paul",
journal = "Plant disease",
title = "First Report of Garlic common latent virus Infecting Garlic in Serbia",
volume = "99",
number = "6",
pages = "894-895",
doi = "10.1094/PDIS-11-14-1229-PDN"
}

Vučurović, A., Vučurović, I., Stanković, I., Bulajić, A., Nikolić, D., Teodorović, S.,& Krstić, B.. (2015). First Report of Garlic common latent virus Infecting Garlic in Serbia. in Plant disease
Amer Phytopathological Soc, St Paul., 99(6), 894-895.
https://doi.org/10.1094/PDIS-11-14-1229-PDN

Vučurović A, Vučurović I, Stanković I, Bulajić A, Nikolić D, Teodorović S, Krstić B. First Report of Garlic common latent virus Infecting Garlic in Serbia. in Plant disease. 2015;99(6):894-895.
doi:10.1094/PDIS-11-14-1229-PDN .

Vučurović, A., Vučurović, I., Stanković, I., Bulajić, A., Nikolić, D., Teodorović, Smilja, Krstić, B., "First Report of Garlic common latent virus Infecting Garlic in Serbia" in Plant disease, 99, no. 6 (2015):894-895,
https://doi.org/10.1094/PDIS-11-14-1229-PDN . .

TY  - JOUR
AU  - Savić, Gordana
AU  - Makajić-Nikolić, D.
AU  - Ranđelović, Dragan
AU  - Ranđelović, Miloš
PY  - 2013
UR  - http://jakov.kpu.edu.rs/handle/123456789/544
AB  - Upon the completion of the common first-year curriculum, under graduate university students may find it difficult to choose the most appropriate study program. This paper deals with a methodology that may help students select it on the basis of their first-year marks, i.e. their efficiency. We have used data on the students' marks from the official database at the Faculty of Organizational Sciences, University of Belgrade, to determine the weights of the first-year subjects in order to predict future students' success on each of the study programs, separately. The aggregated measure, as the combination of weights obtained by Data Envelopment Analysis (DEA) as an objective, and Analytical Hierarchical Process (AHP) as a subjective method is defined for determining the subject's weight. Furthermore, based on the weights assigned to subjects according to departments, we have selected subjects relevant for assessment of future students' success and recommended the appropriate study programs.
T2  - Metalurgia International
T1  - Study program selection by aggregated DEA-AHP measure
VL  - 18
IS  - 1
SP  - 169
EP  - 174
UR  - https://hdl.handle.net/21.15107/rcub_jakov_544
ER  - 

@article{
author = "Savić, Gordana and Makajić-Nikolić, D. and Ranđelović, Dragan and Ranđelović, Miloš",
year = "2013",
abstract = "Upon the completion of the common first-year curriculum, under graduate university students may find it difficult to choose the most appropriate study program. This paper deals with a methodology that may help students select it on the basis of their first-year marks, i.e. their efficiency. We have used data on the students' marks from the official database at the Faculty of Organizational Sciences, University of Belgrade, to determine the weights of the first-year subjects in order to predict future students' success on each of the study programs, separately. The aggregated measure, as the combination of weights obtained by Data Envelopment Analysis (DEA) as an objective, and Analytical Hierarchical Process (AHP) as a subjective method is defined for determining the subject's weight. Furthermore, based on the weights assigned to subjects according to departments, we have selected subjects relevant for assessment of future students' success and recommended the appropriate study programs.",
journal = "Metalurgia International",
title = "Study program selection by aggregated DEA-AHP measure",
volume = "18",
number = "1",
pages = "169-174",
url = "https://hdl.handle.net/21.15107/rcub_jakov_544"
}

Savić, G., Makajić-Nikolić, D., Ranđelović, D.,& Ranđelović, M.. (2013). Study program selection by aggregated DEA-AHP measure. in Metalurgia International, 18(1), 169-174.
https://hdl.handle.net/21.15107/rcub_jakov_544

Savić G, Makajić-Nikolić D, Ranđelović D, Ranđelović M. Study program selection by aggregated DEA-AHP measure. in Metalurgia International. 2013;18(1):169-174.
https://hdl.handle.net/21.15107/rcub_jakov_544 .

Savić, Gordana, Makajić-Nikolić, D., Ranđelović, Dragan, Ranđelović, Miloš, "Study program selection by aggregated DEA-AHP measure" in Metalurgia International, 18, no. 1 (2013):169-174,
https://hdl.handle.net/21.15107/rcub_jakov_544 .

TY  - JOUR
AU  - Ranđelović, Dragan
AU  - Ranđelović, Miloš
AU  - Savić, Gordana
AU  - Makajić-Nikolić, D.
PY  - 2013
UR  - http://jakov.kpu.edu.rs/handle/123456789/528
AB  - The problem of determining weights of criteria appears in many contexts in multiple criteria decision making. For solving this task it is necessary to determine individual influence of each considered criterion. Each criterion can be either quantitative-when each of attributes can take different values or qualitative-in which case only ranking of weights of criterias is possible. The weights for each criterion could be provided by experiments, tests or as experts opinions. This paper presents methodology for obtaining an aggregated measure, in the form of arithmetic means, for quantitative decision making. The measure is obtained experimentally by combining statistical methodology-based on regression and factor analysis on one hand and operational research approaches-data envelopment analysis as an objective and analytical hierarchical process as subjective method. For practical demonstration of proposed method authors used data on the students' marks, from the official database at the Faculty of organizational sciences, University of Belgrade, to determine the weights of the first-year subjects in order to predict future students' success on each of the study programs, separately.
T2  - Metalurgia International
T1  - Aggregation statistics and the methods of operational research for weighting criteria in multiple criteria decision making
VL  - 18
IS  - SPEC.4
SP  - 111
EP  - 119
UR  - https://hdl.handle.net/21.15107/rcub_jakov_528
ER  - 

@article{
author = "Ranđelović, Dragan and Ranđelović, Miloš and Savić, Gordana and Makajić-Nikolić, D.",
year = "2013",
abstract = "The problem of determining weights of criteria appears in many contexts in multiple criteria decision making. For solving this task it is necessary to determine individual influence of each considered criterion. Each criterion can be either quantitative-when each of attributes can take different values or qualitative-in which case only ranking of weights of criterias is possible. The weights for each criterion could be provided by experiments, tests or as experts opinions. This paper presents methodology for obtaining an aggregated measure, in the form of arithmetic means, for quantitative decision making. The measure is obtained experimentally by combining statistical methodology-based on regression and factor analysis on one hand and operational research approaches-data envelopment analysis as an objective and analytical hierarchical process as subjective method. For practical demonstration of proposed method authors used data on the students' marks, from the official database at the Faculty of organizational sciences, University of Belgrade, to determine the weights of the first-year subjects in order to predict future students' success on each of the study programs, separately.",
journal = "Metalurgia International",
title = "Aggregation statistics and the methods of operational research for weighting criteria in multiple criteria decision making",
volume = "18",
number = "SPEC.4",
pages = "111-119",
url = "https://hdl.handle.net/21.15107/rcub_jakov_528"
}

Ranđelović, D., Ranđelović, M., Savić, G.,& Makajić-Nikolić, D.. (2013). Aggregation statistics and the methods of operational research for weighting criteria in multiple criteria decision making. in Metalurgia International, 18(SPEC.4), 111-119.
https://hdl.handle.net/21.15107/rcub_jakov_528

Ranđelović D, Ranđelović M, Savić G, Makajić-Nikolić D. Aggregation statistics and the methods of operational research for weighting criteria in multiple criteria decision making. in Metalurgia International. 2013;18(SPEC.4):111-119.
https://hdl.handle.net/21.15107/rcub_jakov_528 .

Ranđelović, Dragan, Ranđelović, Miloš, Savić, Gordana, Makajić-Nikolić, D., "Aggregation statistics and the methods of operational research for weighting criteria in multiple criteria decision making" in Metalurgia International, 18, no. SPEC.4 (2013):111-119,
https://hdl.handle.net/21.15107/rcub_jakov_528 .