TY  - JOUR
AU  - Jovanović, Mihailo
AU  - Nedeljković, Slobodan
AU  - Ranđelović, Milan
AU  - Savić, Gordana
AU  - Stojanović, Vladica
AU  - Stojanović, Vladimir
AU  - Ranđelović, Dragan
PY  - 2020
UR  - https://jakov.kpu.edu.rs/handle/123456789/1649
AB  - Local self-government has the task of enabling stable economic development, in addition to enabling a normal quality of life for citizens. This is why the state government should provide guidelines that will improve the local business climate, and by doing so enable local economic development. This can be done through the introduction of a business-friendly certification procedure, which is influenced by uncertain inputs and influences many output factors. Each local government has the important task of determining its rank of efficiency in this process. A number of methodologies developed to solve this problem are generally divided into two groups: Parametric and non-parametric. These two groups of methodologies could provide quite different results. Therefore, the purpose of this paper was to create a model using both approaches to achieve a balanced symmetrical approach that produces better results than each approach individually. For this purpose, the paper describes a multicriteria decision aid-based model of optimization to evaluate the effectiveness of this process, integrating classification, data envelopment analysis, and stochastic frontier analysis, as well as its application in a case study of business-friendly certification in the Republic of Serbia.
PB  - Basel : MDPI
T2  - Symmetry
T1  - A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities
VL  - 12
IS  - 6
SP  - 1025
DO  - 10.3390/sym12061025
ER  - 

@article{
author = "Jovanović, Mihailo and Nedeljković, Slobodan and Ranđelović, Milan and Savić, Gordana and Stojanović, Vladica and Stojanović, Vladimir and Ranđelović, Dragan",
year = "2020",
abstract = "Local self-government has the task of enabling stable economic development, in addition to enabling a normal quality of life for citizens. This is why the state government should provide guidelines that will improve the local business climate, and by doing so enable local economic development. This can be done through the introduction of a business-friendly certification procedure, which is influenced by uncertain inputs and influences many output factors. Each local government has the important task of determining its rank of efficiency in this process. A number of methodologies developed to solve this problem are generally divided into two groups: Parametric and non-parametric. These two groups of methodologies could provide quite different results. Therefore, the purpose of this paper was to create a model using both approaches to achieve a balanced symmetrical approach that produces better results than each approach individually. For this purpose, the paper describes a multicriteria decision aid-based model of optimization to evaluate the effectiveness of this process, integrating classification, data envelopment analysis, and stochastic frontier analysis, as well as its application in a case study of business-friendly certification in the Republic of Serbia.",
publisher = "Basel : MDPI",
journal = "Symmetry",
title = "A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities",
volume = "12",
number = "6",
pages = "1025",
doi = "10.3390/sym12061025"
}

Jovanović, M., Nedeljković, S., Ranđelović, M., Savić, G., Stojanović, V., Stojanović, V.,& Ranđelović, D.. (2020). A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities. in Symmetry
Basel : MDPI., 12(6), 1025.
https://doi.org/10.3390/sym12061025

Jovanović M, Nedeljković S, Ranđelović M, Savić G, Stojanović V, Stojanović V, Ranđelović D. A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities. in Symmetry. 2020;12(6):1025.
doi:10.3390/sym12061025 .

Jovanović, Mihailo, Nedeljković, Slobodan, Ranđelović, Milan, Savić, Gordana, Stojanović, Vladica, Stojanović, Vladimir, Ranđelović, Dragan, "A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities" in Symmetry, 12, no. 6 (2020):1025,
https://doi.org/10.3390/sym12061025 . .

TY  - JOUR
AU  - Ranđelović, Milan
AU  - Stanković, Jelena
AU  - Kuk, Kristijan
AU  - Savić, Gordana
AU  - Ranđelović, Dragan
PY  - 2018
UR  - http://jakov.kpu.edu.rs/handle/123456789/845
AB  - One of the key problems in the application of multicriteria analysis methods is identifying the importance of the model criteria. The relevance and validity of the decisions are directly conditioned by the relevance of a given set of criteria used for evaluating alternatives, and the correct determination of the weights of these criteria. Several methodologies have been developed to calculate the importance of each criterion for a given problem. All methodologies are classified into two main groups: subjective and objective. In this paper, we present a new procedure to integrate two recognized methods for determining the weights of factors-the analytic hierarchy method as a subjective method and entropy as an objective method. We apply our methodology to a contemporary local economic problem in Serbia-the process of certifying cities and municipalities as favorable to business. We also discuss its implementation in a software tool on a local government website.
PB  - Informs, Catonsville
T2  - Interfaces
T1  - An Approach to Determining the Importance of Model Criteria in Certifying a City as Business-Friendly
VL  - 48
IS  - 2
SP  - 156
EP  - 165
DO  - 10.1287/inte.2017.0923
ER  - 

@article{
author = "Ranđelović, Milan and Stanković, Jelena and Kuk, Kristijan and Savić, Gordana and Ranđelović, Dragan",
year = "2018",
abstract = "One of the key problems in the application of multicriteria analysis methods is identifying the importance of the model criteria. The relevance and validity of the decisions are directly conditioned by the relevance of a given set of criteria used for evaluating alternatives, and the correct determination of the weights of these criteria. Several methodologies have been developed to calculate the importance of each criterion for a given problem. All methodologies are classified into two main groups: subjective and objective. In this paper, we present a new procedure to integrate two recognized methods for determining the weights of factors-the analytic hierarchy method as a subjective method and entropy as an objective method. We apply our methodology to a contemporary local economic problem in Serbia-the process of certifying cities and municipalities as favorable to business. We also discuss its implementation in a software tool on a local government website.",
publisher = "Informs, Catonsville",
journal = "Interfaces",
title = "An Approach to Determining the Importance of Model Criteria in Certifying a City as Business-Friendly",
volume = "48",
number = "2",
pages = "156-165",
doi = "10.1287/inte.2017.0923"
}

Ranđelović, M., Stanković, J., Kuk, K., Savić, G.,& Ranđelović, D.. (2018). An Approach to Determining the Importance of Model Criteria in Certifying a City as Business-Friendly. in Interfaces
Informs, Catonsville., 48(2), 156-165.
https://doi.org/10.1287/inte.2017.0923

Ranđelović M, Stanković J, Kuk K, Savić G, Ranđelović D. An Approach to Determining the Importance of Model Criteria in Certifying a City as Business-Friendly. in Interfaces. 2018;48(2):156-165.
doi:10.1287/inte.2017.0923 .

Ranđelović, Milan, Stanković, Jelena, Kuk, Kristijan, Savić, Gordana, Ranđelović, Dragan, "An Approach to Determining the Importance of Model Criteria in Certifying a City as Business-Friendly" in Interfaces, 48, no. 2 (2018):156-165,
https://doi.org/10.1287/inte.2017.0923 . .

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 .