Multi-Criteria Model for the Selection of Construction Materials: An Approach Based on Fuzzy Logic
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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.
Кључне речи:
Fuzzy logic / Fuzzy logic system / Selection of construction materialsИзвор:
Tehnicki vjesnik - Technical gazette, 2020, 27, 5, 1531-1543Издавач:
- 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
Институција/група
Arhitektonski fakultetTY - 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 . .