TY  - JOUR
AU  - Obradović, Radojko
AU  - Pamučar, Dragan
PY  - 2020
UR  - https://raf.arh.bg.ac.rs/handle/123456789/1063
AB  - The process of construction and exploitation of a building passes through the preparation phase, the construction phase and the exploitation phase. Each of these phases involves the selection of criteria and decision making, with the aim of selecting the optimal construction materials for the building. The paper presents a new model for selecting construction materials that is based on fuzzy logic. In order to simulate the expert process of assessing the construction and exploitation of a building during which construction materials are selected, a modular fuzzy logic system was designed with a unique base of knowledge to assist in decision making on the priorities of the construction material. The model consists of four modules that are hierarchically organized on two levels. The size of the output from the model is the measure of a material’s priority. Each of the materials observed (straw, wood, brick and concrete-steel) is assigned a certain value for the criterion function, on the basis of which the user of the system chooses the material for construction. In addition to the structure of the model, the paper presents its testing. Testing was carried out on the case study of selecting materials for the construction of five residential buildings.
PB  - Slavonski Brod : Faculty of Mechanical Engineering in Slavonski Brod
PB  - Osijek : Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
PB  - Osijek : Faculty of Civil Engineering in Osijek
T2  - Tehnicki vjesnik - Technical gazette
T1  - Multi-Criteria Model for the Selection of Construction Materials: An Approach Based on Fuzzy Logic
VL  - 27
IS  - 5
SP  - 1531
EP  - 1543
DO  - 10.17559/TV-20190426123437
ER  - 

@article{
author = "Obradović, Radojko and Pamučar, Dragan",
year = "2020",
abstract = "The process of construction and exploitation of a building passes through the preparation phase, the construction phase and the exploitation phase. Each of these phases involves the selection of criteria and decision making, with the aim of selecting the optimal construction materials for the building. The paper presents a new model for selecting construction materials that is based on fuzzy logic. In order to simulate the expert process of assessing the construction and exploitation of a building during which construction materials are selected, a modular fuzzy logic system was designed with a unique base of knowledge to assist in decision making on the priorities of the construction material. The model consists of four modules that are hierarchically organized on two levels. The size of the output from the model is the measure of a material’s priority. Each of the materials observed (straw, wood, brick and concrete-steel) is assigned a certain value for the criterion function, on the basis of which the user of the system chooses the material for construction. In addition to the structure of the model, the paper presents its testing. Testing was carried out on the case study of selecting materials for the construction of five residential buildings.",
publisher = "Slavonski Brod : Faculty of Mechanical Engineering in Slavonski Brod, Osijek : Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek : Faculty of Civil Engineering in Osijek",
journal = "Tehnicki vjesnik - Technical gazette",
title = "Multi-Criteria Model for the Selection of Construction Materials: An Approach Based on Fuzzy Logic",
volume = "27",
number = "5",
pages = "1531-1543",
doi = "10.17559/TV-20190426123437"
}

Obradović, R.,& Pamučar, D.. (2020). Multi-Criteria Model for the Selection of Construction Materials: An Approach Based on Fuzzy Logic. in Tehnicki vjesnik - Technical gazette
Slavonski Brod : Faculty of Mechanical Engineering in Slavonski Brod., 27(5), 1531-1543.
https://doi.org/10.17559/TV-20190426123437

Obradović R, Pamučar D. Multi-Criteria Model for the Selection of Construction Materials: An Approach Based on Fuzzy Logic. in Tehnicki vjesnik - Technical gazette. 2020;27(5):1531-1543.
doi:10.17559/TV-20190426123437 .

Obradović, Radojko, Pamučar, Dragan, "Multi-Criteria Model for the Selection of Construction Materials: An Approach Based on Fuzzy Logic" in Tehnicki vjesnik - Technical gazette, 27, no. 5 (2020):1531-1543,
https://doi.org/10.17559/TV-20190426123437 . .

TY  - JOUR
AU  - Pamučar, Dragan
AU  - Mihajlović, Milan
AU  - Obradović, Radojko
AU  - Atanasković, P.
PY  - 2017
UR  - https://raf.arh.bg.ac.rs/handle/123456789/251
AB  - This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.
PB  - Elsevier Ltd
T2  - Expert systems with applications
T1  - Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model
VL  - 88
SP  - 58
EP  - 80
DO  - 10.1016/j.eswa.2017.06.037
ER  - 

@article{
author = "Pamučar, Dragan and Mihajlović, Milan and Obradović, Radojko and Atanasković, P.",
year = "2017",
abstract = "This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.",
publisher = "Elsevier Ltd",
journal = "Expert systems with applications",
title = "Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model",
volume = "88",
pages = "58-80",
doi = "10.1016/j.eswa.2017.06.037"
}

Pamučar, D., Mihajlović, M., Obradović, R.,& Atanasković, P.. (2017). Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. in Expert systems with applications
Elsevier Ltd., 88, 58-80.
https://doi.org/10.1016/j.eswa.2017.06.037

Pamučar D, Mihajlović M, Obradović R, Atanasković P. Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. in Expert systems with applications. 2017;88:58-80.
doi:10.1016/j.eswa.2017.06.037 .

Pamučar, Dragan, Mihajlović, Milan, Obradović, Radojko, Atanasković, P., "Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model" in Expert systems with applications, 88 (2017):58-80,
https://doi.org/10.1016/j.eswa.2017.06.037 . .

TY  - JOUR
AU  - Pamučar, Dragan
AU  - Mihajlović, Milan
AU  - Obradović, Radojko
AU  - Atanasković, P.
PY  - 2017
UR  - https://raf.arh.bg.ac.rs/handle/123456789/397
AB  - This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.
PB  - Elsevier Ltd
T2  - Expert systems with applications
T1  - Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model
VL  - 88
SP  - 58
EP  - 80
DO  - 10.1016/j.eswa.2017.06.037
ER  - 

@article{
author = "Pamučar, Dragan and Mihajlović, Milan and Obradović, Radojko and Atanasković, P.",
year = "2017",
abstract = "This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.",
publisher = "Elsevier Ltd",
journal = "Expert systems with applications",
title = "Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model",
volume = "88",
pages = "58-80",
doi = "10.1016/j.eswa.2017.06.037"
}

Pamučar, D., Mihajlović, M., Obradović, R.,& Atanasković, P.. (2017). Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. in Expert systems with applications
Elsevier Ltd., 88, 58-80.
https://doi.org/10.1016/j.eswa.2017.06.037

Pamučar D, Mihajlović M, Obradović R, Atanasković P. Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. in Expert systems with applications. 2017;88:58-80.
doi:10.1016/j.eswa.2017.06.037 .

Pamučar, Dragan, Mihajlović, Milan, Obradović, Radojko, Atanasković, P., "Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model" in Expert systems with applications, 88 (2017):58-80,
https://doi.org/10.1016/j.eswa.2017.06.037 . .