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AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS

Yıl 2016, Cilt: 5 Sayı: 2, 124 - 138, 01.04.2016

Öz

Installing the most suitable heating and cooling systems to the offices for the firms is one of the important decisions to be made because of the energy efficiency and working conditions. This decision requires the selection of the proper air conditioner considering several conflicting factors. Soit can be handled with the Multiple Criteria Decision Making (MCDM) methods. In this paper COPRAS (COmplex PRoportional ASsessment) and ARAS (Additive Ratio ASsessment) methods are used to reach a solution for the air conditioner selection problem in the literature. Air conditioner alternatives are ranked by using these two methods and also the results are compared

Kaynakça

  • Andruškevicius, A. (2005). Evaluation of contractors by using COPRAS - the multiple criteria method. Technological and Economic Development of Economy, 11(3), 158–169.
  • Bakshi, T. & Sarkar, B. (2011). MCA based performance evaluation of project selection. International Journal of Software Engineering & Applications (IJSEA), 2(2), 14-22.
  • Balezentiene, L., & Kusta, A. (2012). Reducing greenhouse gas emissions in grassland ecosystems of the central Lithuania: multi-criteria evaluation on a basis of the ARAS method. The Scientific World Journal, 1-11.
  • Balzentis, A., Balzentis, T. & Misiunas, A. (2012). An integrated assessment of lithuanian economic sectors based on financial ratios and fuzzy MCDM methods. Technological and Economic Development of Economy, 18(1), 34–53.
  • Banaitiene, N., Banaitis, A., Kaklauskas, A. & Zavadskas, E.K. (2008). Evaluating the life cycle of a building: A multivariant and multiple criteria approach. Omega, 36, 429 – 441.
  • Barak, S., Mehrgini, B., Maghsoudlou, H., & Branch, Q. (2014). Multi-Criteria Decision Making Approach To Candidate Well Selection For Hydraulic Fracturing Treatment, CIE44 & IMSS‟14 Proceedings, 14-16 October, Istanbul / Turkey, 2092-2106.
  • Bindu Madhuri, Ch, Chandulal. J & Padmaja. M. (2010). Selection of best web site by applying COPRAS-G method. International Journal of Computer Science and Information Technologies, 1(2), 138-146.
  • Chatterjee, N., & Bose, G. (2013). Selection of vendors for wind farm under fuzzy MCDM environment. International Journal of Industrial Engineering Computations, 4(4), 535-546.
  • Chatterjee, P. & Chakraborty, S. (2012). Material selection using preferential ranking methods. Materials and Design, 35, 384–393.
  • Chatterjee, P. & Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study, International Journal of Industrial Engineering Computations, 5, 315– 338.
  • Chatterjee, P. (2013). Applications of Preference Ranking-Based Methods for Decision-Making in Manufacturing Environment, PhD Thesis, Jadavpur University, Kolkata.
  • Chatterjee, P. & Chakraborty, S. (2013). Gear Material Selection using Complex Proportional Assessment and Additive Ratio Assessment-based Approaches: A Comparative Study. International Journal of Materials Science and Engineering, 1(2), 104-111.
  • Dadelo, S., Turskis, Z., Zavadskas, E. K., & Dadeliene, R. (2012). Multiple criteria assessment of elite security personal on the basis of ARAS and expert methods. Economic Computation and Economic Cybernetics Studies and Research, 46(4), 65-87.
  • Darji, V. P. & Rao, R. V. (2014). Intelligent Multi Criteria Decision Making Methods for Material Selection in Sugar Industry. Procedia Materials Science, 5, 2585-2594.
  • Das, M.C., Sarkar, B. & Ray, S. (2012). A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Economic Planning Sciences, 46, 230-241.
  • Esbouei, S. K. & Ghadikolaei, A. S. (2013). An integrated approach based on FAHP and ARAS methods for financial performance evaluation, ARPN Journal of Systems and Software, 3(4), 53–56.
  • Ghadikolaei, S., Esbouei S. K. & Antucheviciene, J. (2014). Applying fuzzy MCDM for financial performance evaluation of Iranian companies, Technological and Economic Development of Economy, 20(2), 274-291.
  • Ghadikolaei, A. S. & Esbouei, S. K. (2014). Integrating Fuzzy AHP and Fuzzy ARAS for evaluating financial performance. Boletim da Sociedade Paranaense de Matemática, 32(2), 163-174.
  • Kaklauskas, A., Zavadskas, E. K. & Raslanas, S. (2005). Multivariant design and multiple criteria analysis of building refurbishments. Energy and Buildings, 37(4), 361–372.
  • Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of low e-windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462.
  • Kaklauskas, A., Zavadskas, E.K. & Trinkunas, V. (2007a). A multiple criteria decision support on-line system for construction. Engineering Applications of Artificial Intelligence, 20(2), 163-175.
  • Kaklauskas, A., Zavadskas, E.K., Banaitis, A. & Satkauskas. G. (2007b). Defining the utility and market value of a real estate: a multiple criteria approach. International Journal of Strategic Property Management. 11(2), 107–20.
  • Kaklauskas, A. , Zavadskas, E.K., Naimavicienė, J., Krutinis, M., Plakys, V. & Venskus, D. (2010). Model for a complex analysis of intelligent built environment, Automation in Construction, 19, 326–340.
  • Kaklauskas, A., Tupenaite, L., Kanapeckiene, L., & Naimaviciene, J. (2013). Knowledge-based model for standard housing renovation. Procedia Engineering, 57, 497-503.
  • Kanapeckiene, L. Kaklauskas, A. Zavadskas, E. K. & Seniut, M. (2010). Integrated knowledge management model and system for construction projects. Engineering Applications of Artificial Intelligence, 23, 1200– 1215.
  • Keršulienė, V. & Turskis, Z. (2014). An integrated multi-criteria group decision making process: selection of the chief accountant, Procedia - Social and Behavioral Sciences, 110, 897 – 904.
  • Kundakcı, N., Tuş Işık, A. & Adalı Aytaç, E. (2015). AHP ve MOORA Yöntemleri ile Klima Seçimi, Uluslararası Katılımlı Üretim Araştırmaları Sempozyumu, 14-16 October, Ege University, İzmir.
  • Kutut, V., Zavadskas, E. K., & Lazauskas, M. (2013). Assessment of Priority Options for Preservation of Historic City Centre Buildings Using MCDM (ARAS). Procedia Engineering, 57, 657-661.
  • Kutut, V., Zavadskas, E. K., & Lazauskas, M. (2014). Assessment of priority alternatives for preservation of historic buildings using model based on ARAS and AHP methods. Archives of Civil and Mechanical Engineering, 14(2), 287-294.
  • Lazauskas, M., Kutut, V., & Kazimieras Zavadskas, E. (2015). Multicriteria assessment of unfinished construction projects. Građevinar, 67(4), 319-328.
  • Madić, M., Petković, D. & Radovanović, M. (2014). Evaluation of non-conventional machining processes considering material application by using additive ratio assessment method, Revista de Tehnologii Neconventionale, 18 (4), 72-77.
  • Maity, S. R., Chatterjee, P. & Chakraborty, S. (2012). Cutting tool material selection using grey complex proportional assessment method. Materials and Design, 36, 372-378.
  • Medineckiene, M., Zavadskas, E. K., Björk, F., & Turskis, Z. (2015). Multi-criteria decision-making system for sustainable building assessment/certification. Archives of Civil and Mechanical Engineering, 15(1), 11- 18.
  • Mulliner, E. Smallbone, K. & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41, 270-279.
  • Popovic, G., Stanujkic, D. & Stojanovic, S. (2012). Investment project selection by applying Copras method and imprecise data. Serbian Journal of Management, 7(2), 257-269.
  • Reza, S. & Majid, A. (2013). Ranking Financial Institutions Based on of Trust in online banking Using ARAS and ANP Method. International Research Journal of Applied and Basic Sciences, 6(4), 415-423.
  • Saaty, T. L. (1980). The Analytic Hierarchy Process, McGraw-Hill, New York.
  • Shariati, S., Yazdani-Chamzini, A., Salsani, A. & Tamošaitienė, J. (2014). Proposing a New Model for Waste Dump Site Selection: Case Study of Ayerma Phosphate Mine. Engineering Economics, 25(4), 410-419.
  • Sliogeriene, J., Turskis, Z. & Streimikiene, D. (2013). Analysis and choice of energy generation technologies: The multiple criteria assessment on the case study of Lithuania. Energy Procedia, 32, 11-20.
  • Stanujkic, D. & Jovanovic, R. (2012). Measuring a quality of faculty website using ARAS method. In Proceeding of the International Scientific Conference Contemporary Issues in Business, Management and Education, 545-554
  • Stanujkic, D., Djordjevic, B. & Djordjevic, M. (2013). Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks. Serbian Journal of Management, 8(2), 213-241.
  • Stanujkic, D., Djordjevic, B., & Karabasevic, D. (2015). Selectıon of candidates in the process of recruitment and selection of personnel based on the SWARA and ARAS methods. Quaestus, 7, 53-64.
  • Štreimikienė, D. & Baležentis, A. (2013). Integrated sustainability index: the case study of Lithuania, Intelektinė Ekonomika, 7 (3), 289-303.
  • Tupenaite, L. (2010). Multiple criteria assessment of the built and human environment renovation projects. PhD Thesis, Vilnius Gediminas Technical University.
  • Turskis, Z. & Zavadskas, E. K. (2010). A novel method for multiple criteria analysis: grey additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
  • Turskis, Z., Zavadskas, E. K. & Kutut, V. (2013). A model based on ARAS-G and AHP methods for multiple criteria prioritizing of heritage value. International Journal of Information Technology & Decision Making, 12(1), 45-73.
  • Vilutienė. T. & Zavadskas, E.K. (2003). The application of multi-criteria analysis to decision support for the facility management of a residential district, Journal of Civil Engineering and Management, 9(4), 241- 252.
  • Viteikiene, M. & Zavadskas, E.K. (2007). Evaluating the sustainability of Vilnius city residential areas. Journal of Civil Engineering and Management, 8(2), 149-155.
  • Yıldırım, B. F. (2015). Çok kriterli karar verme problemlerinde aras yöntemi. Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 6(9), 285-296.
  • Zagorskas J., Burinskiene M., Zavadskas E.K. & Turskis Z. (2007). Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method. Ekologija, 53, 55–63.
  • Zavadskas, E. K., Kaklauskas, A. & Kvederytė, N. (2001). Multivariant design and multiple criteria analysis of building life cycle. Informatica, 12(1), 169–188.
  • Zavadskas, E. K. & Vilutienė T. (2004). Multi-criteria analysis of multi-family apartment blocks maintenance service packages. Journal of Civil Engineering and Management, 10 (2), 143–152.
  • Zavadskas, E. K., Kaklauskas, A., Banaitis, A. & Kvederytė, N. (2004). Housing credit access model: The case for Lithuania. European Journal of Operational Research, 155(2), 335–352.
  • Zavadskas, E.K., Kaklauskas, A., Peldschus, F. & Turskis Z. (2007). Multi-attribute assessment of road design solution by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2 (4), 195- 203.
  • Zavadskas , E.K., Kaklauskas , A., Turskis, Z. & Tamošaitiene, J. (2008a). Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of Civil Engineering and Management, 14(2), 85-93.
  • Zavadskas, E.K., Turskis, Z., Tamosaitiene, J. & Marina, V. (2008b). Selection of construction project managers by applying Copras-G method. The 8th International Conference “Reliability and Statistics in Transportation and Communication-2008”, 15-18 October, Riga.
  • Zavadskas, E.K., Kaklauskas, A., Turskis, Z. & Tamosaitiene, J. (2008c). Contractor selection multi-attribute model applying Copras method with grey interval numbers. 20th EURO Mini Conference “Continuous Optimization and Knowledge-Based Technologies”, 20–23 May, Neringa.
  • Zavadskas, E.K., Kaklauskas, A. & Vilutiene, T. (2009). Multicriteria evaluation of apartment blocks maintenance contractors: Lithuanian case study. International Journal of Strategic Property Management, 13(4), 319-338.
  • Zavadskas, E. K. & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.
  • Zavadskas, E. K., Turskis, Z. & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123-141.
  • Zavadskas, E. K., Turskis, Z. & Bagočius, V. (2015). Multi-criteria selection of a deep-water port in the Eastern Baltic Sea. Applied Soft Computing, 26, 180-192.
Yıl 2016, Cilt: 5 Sayı: 2, 124 - 138, 01.04.2016

Öz

Kaynakça

  • Andruškevicius, A. (2005). Evaluation of contractors by using COPRAS - the multiple criteria method. Technological and Economic Development of Economy, 11(3), 158–169.
  • Bakshi, T. & Sarkar, B. (2011). MCA based performance evaluation of project selection. International Journal of Software Engineering & Applications (IJSEA), 2(2), 14-22.
  • Balezentiene, L., & Kusta, A. (2012). Reducing greenhouse gas emissions in grassland ecosystems of the central Lithuania: multi-criteria evaluation on a basis of the ARAS method. The Scientific World Journal, 1-11.
  • Balzentis, A., Balzentis, T. & Misiunas, A. (2012). An integrated assessment of lithuanian economic sectors based on financial ratios and fuzzy MCDM methods. Technological and Economic Development of Economy, 18(1), 34–53.
  • Banaitiene, N., Banaitis, A., Kaklauskas, A. & Zavadskas, E.K. (2008). Evaluating the life cycle of a building: A multivariant and multiple criteria approach. Omega, 36, 429 – 441.
  • Barak, S., Mehrgini, B., Maghsoudlou, H., & Branch, Q. (2014). Multi-Criteria Decision Making Approach To Candidate Well Selection For Hydraulic Fracturing Treatment, CIE44 & IMSS‟14 Proceedings, 14-16 October, Istanbul / Turkey, 2092-2106.
  • Bindu Madhuri, Ch, Chandulal. J & Padmaja. M. (2010). Selection of best web site by applying COPRAS-G method. International Journal of Computer Science and Information Technologies, 1(2), 138-146.
  • Chatterjee, N., & Bose, G. (2013). Selection of vendors for wind farm under fuzzy MCDM environment. International Journal of Industrial Engineering Computations, 4(4), 535-546.
  • Chatterjee, P. & Chakraborty, S. (2012). Material selection using preferential ranking methods. Materials and Design, 35, 384–393.
  • Chatterjee, P. & Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study, International Journal of Industrial Engineering Computations, 5, 315– 338.
  • Chatterjee, P. (2013). Applications of Preference Ranking-Based Methods for Decision-Making in Manufacturing Environment, PhD Thesis, Jadavpur University, Kolkata.
  • Chatterjee, P. & Chakraborty, S. (2013). Gear Material Selection using Complex Proportional Assessment and Additive Ratio Assessment-based Approaches: A Comparative Study. International Journal of Materials Science and Engineering, 1(2), 104-111.
  • Dadelo, S., Turskis, Z., Zavadskas, E. K., & Dadeliene, R. (2012). Multiple criteria assessment of elite security personal on the basis of ARAS and expert methods. Economic Computation and Economic Cybernetics Studies and Research, 46(4), 65-87.
  • Darji, V. P. & Rao, R. V. (2014). Intelligent Multi Criteria Decision Making Methods for Material Selection in Sugar Industry. Procedia Materials Science, 5, 2585-2594.
  • Das, M.C., Sarkar, B. & Ray, S. (2012). A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Economic Planning Sciences, 46, 230-241.
  • Esbouei, S. K. & Ghadikolaei, A. S. (2013). An integrated approach based on FAHP and ARAS methods for financial performance evaluation, ARPN Journal of Systems and Software, 3(4), 53–56.
  • Ghadikolaei, S., Esbouei S. K. & Antucheviciene, J. (2014). Applying fuzzy MCDM for financial performance evaluation of Iranian companies, Technological and Economic Development of Economy, 20(2), 274-291.
  • Ghadikolaei, A. S. & Esbouei, S. K. (2014). Integrating Fuzzy AHP and Fuzzy ARAS for evaluating financial performance. Boletim da Sociedade Paranaense de Matemática, 32(2), 163-174.
  • Kaklauskas, A., Zavadskas, E. K. & Raslanas, S. (2005). Multivariant design and multiple criteria analysis of building refurbishments. Energy and Buildings, 37(4), 361–372.
  • Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of low e-windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462.
  • Kaklauskas, A., Zavadskas, E.K. & Trinkunas, V. (2007a). A multiple criteria decision support on-line system for construction. Engineering Applications of Artificial Intelligence, 20(2), 163-175.
  • Kaklauskas, A., Zavadskas, E.K., Banaitis, A. & Satkauskas. G. (2007b). Defining the utility and market value of a real estate: a multiple criteria approach. International Journal of Strategic Property Management. 11(2), 107–20.
  • Kaklauskas, A. , Zavadskas, E.K., Naimavicienė, J., Krutinis, M., Plakys, V. & Venskus, D. (2010). Model for a complex analysis of intelligent built environment, Automation in Construction, 19, 326–340.
  • Kaklauskas, A., Tupenaite, L., Kanapeckiene, L., & Naimaviciene, J. (2013). Knowledge-based model for standard housing renovation. Procedia Engineering, 57, 497-503.
  • Kanapeckiene, L. Kaklauskas, A. Zavadskas, E. K. & Seniut, M. (2010). Integrated knowledge management model and system for construction projects. Engineering Applications of Artificial Intelligence, 23, 1200– 1215.
  • Keršulienė, V. & Turskis, Z. (2014). An integrated multi-criteria group decision making process: selection of the chief accountant, Procedia - Social and Behavioral Sciences, 110, 897 – 904.
  • Kundakcı, N., Tuş Işık, A. & Adalı Aytaç, E. (2015). AHP ve MOORA Yöntemleri ile Klima Seçimi, Uluslararası Katılımlı Üretim Araştırmaları Sempozyumu, 14-16 October, Ege University, İzmir.
  • Kutut, V., Zavadskas, E. K., & Lazauskas, M. (2013). Assessment of Priority Options for Preservation of Historic City Centre Buildings Using MCDM (ARAS). Procedia Engineering, 57, 657-661.
  • Kutut, V., Zavadskas, E. K., & Lazauskas, M. (2014). Assessment of priority alternatives for preservation of historic buildings using model based on ARAS and AHP methods. Archives of Civil and Mechanical Engineering, 14(2), 287-294.
  • Lazauskas, M., Kutut, V., & Kazimieras Zavadskas, E. (2015). Multicriteria assessment of unfinished construction projects. Građevinar, 67(4), 319-328.
  • Madić, M., Petković, D. & Radovanović, M. (2014). Evaluation of non-conventional machining processes considering material application by using additive ratio assessment method, Revista de Tehnologii Neconventionale, 18 (4), 72-77.
  • Maity, S. R., Chatterjee, P. & Chakraborty, S. (2012). Cutting tool material selection using grey complex proportional assessment method. Materials and Design, 36, 372-378.
  • Medineckiene, M., Zavadskas, E. K., Björk, F., & Turskis, Z. (2015). Multi-criteria decision-making system for sustainable building assessment/certification. Archives of Civil and Mechanical Engineering, 15(1), 11- 18.
  • Mulliner, E. Smallbone, K. & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41, 270-279.
  • Popovic, G., Stanujkic, D. & Stojanovic, S. (2012). Investment project selection by applying Copras method and imprecise data. Serbian Journal of Management, 7(2), 257-269.
  • Reza, S. & Majid, A. (2013). Ranking Financial Institutions Based on of Trust in online banking Using ARAS and ANP Method. International Research Journal of Applied and Basic Sciences, 6(4), 415-423.
  • Saaty, T. L. (1980). The Analytic Hierarchy Process, McGraw-Hill, New York.
  • Shariati, S., Yazdani-Chamzini, A., Salsani, A. & Tamošaitienė, J. (2014). Proposing a New Model for Waste Dump Site Selection: Case Study of Ayerma Phosphate Mine. Engineering Economics, 25(4), 410-419.
  • Sliogeriene, J., Turskis, Z. & Streimikiene, D. (2013). Analysis and choice of energy generation technologies: The multiple criteria assessment on the case study of Lithuania. Energy Procedia, 32, 11-20.
  • Stanujkic, D. & Jovanovic, R. (2012). Measuring a quality of faculty website using ARAS method. In Proceeding of the International Scientific Conference Contemporary Issues in Business, Management and Education, 545-554
  • Stanujkic, D., Djordjevic, B. & Djordjevic, M. (2013). Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks. Serbian Journal of Management, 8(2), 213-241.
  • Stanujkic, D., Djordjevic, B., & Karabasevic, D. (2015). Selectıon of candidates in the process of recruitment and selection of personnel based on the SWARA and ARAS methods. Quaestus, 7, 53-64.
  • Štreimikienė, D. & Baležentis, A. (2013). Integrated sustainability index: the case study of Lithuania, Intelektinė Ekonomika, 7 (3), 289-303.
  • Tupenaite, L. (2010). Multiple criteria assessment of the built and human environment renovation projects. PhD Thesis, Vilnius Gediminas Technical University.
  • Turskis, Z. & Zavadskas, E. K. (2010). A novel method for multiple criteria analysis: grey additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
  • Turskis, Z., Zavadskas, E. K. & Kutut, V. (2013). A model based on ARAS-G and AHP methods for multiple criteria prioritizing of heritage value. International Journal of Information Technology & Decision Making, 12(1), 45-73.
  • Vilutienė. T. & Zavadskas, E.K. (2003). The application of multi-criteria analysis to decision support for the facility management of a residential district, Journal of Civil Engineering and Management, 9(4), 241- 252.
  • Viteikiene, M. & Zavadskas, E.K. (2007). Evaluating the sustainability of Vilnius city residential areas. Journal of Civil Engineering and Management, 8(2), 149-155.
  • Yıldırım, B. F. (2015). Çok kriterli karar verme problemlerinde aras yöntemi. Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 6(9), 285-296.
  • Zagorskas J., Burinskiene M., Zavadskas E.K. & Turskis Z. (2007). Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method. Ekologija, 53, 55–63.
  • Zavadskas, E. K., Kaklauskas, A. & Kvederytė, N. (2001). Multivariant design and multiple criteria analysis of building life cycle. Informatica, 12(1), 169–188.
  • Zavadskas, E. K. & Vilutienė T. (2004). Multi-criteria analysis of multi-family apartment blocks maintenance service packages. Journal of Civil Engineering and Management, 10 (2), 143–152.
  • Zavadskas, E. K., Kaklauskas, A., Banaitis, A. & Kvederytė, N. (2004). Housing credit access model: The case for Lithuania. European Journal of Operational Research, 155(2), 335–352.
  • Zavadskas, E.K., Kaklauskas, A., Peldschus, F. & Turskis Z. (2007). Multi-attribute assessment of road design solution by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2 (4), 195- 203.
  • Zavadskas , E.K., Kaklauskas , A., Turskis, Z. & Tamošaitiene, J. (2008a). Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of Civil Engineering and Management, 14(2), 85-93.
  • Zavadskas, E.K., Turskis, Z., Tamosaitiene, J. & Marina, V. (2008b). Selection of construction project managers by applying Copras-G method. The 8th International Conference “Reliability and Statistics in Transportation and Communication-2008”, 15-18 October, Riga.
  • Zavadskas, E.K., Kaklauskas, A., Turskis, Z. & Tamosaitiene, J. (2008c). Contractor selection multi-attribute model applying Copras method with grey interval numbers. 20th EURO Mini Conference “Continuous Optimization and Knowledge-Based Technologies”, 20–23 May, Neringa.
  • Zavadskas, E.K., Kaklauskas, A. & Vilutiene, T. (2009). Multicriteria evaluation of apartment blocks maintenance contractors: Lithuanian case study. International Journal of Strategic Property Management, 13(4), 319-338.
  • Zavadskas, E. K. & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.
  • Zavadskas, E. K., Turskis, Z. & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123-141.
  • Zavadskas, E. K., Turskis, Z. & Bagočius, V. (2015). Multi-criteria selection of a deep-water port in the Eastern Baltic Sea. Applied Soft Computing, 26, 180-192.
Toplam 61 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA22CV69SZ
Bölüm Araştırma Makalesi
Yazarlar

Esra Aytac Adali Bu kişi benim

Ayģegül Tuş Işık Bu kişi benim

Yayımlanma Tarihi 1 Nisan 2016
Gönderilme Tarihi 1 Nisan 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 5 Sayı: 2

Kaynak Göster

APA Adali, E. A., & Işık, A. T. (2016). AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS. MANAS Sosyal Araştırmalar Dergisi, 5(2), 124-138.
AMA Adali EA, Işık AT. AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS. MJSS. Nisan 2016;5(2):124-138.
Chicago Adali, Esra Aytac, ve Ayģegül Tuş Işık. “AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS”. MANAS Sosyal Araştırmalar Dergisi 5, sy. 2 (Nisan 2016): 124-38.
EndNote Adali EA, Işık AT (01 Nisan 2016) AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS. MANAS Sosyal Araştırmalar Dergisi 5 2 124–138.
IEEE E. A. Adali ve A. T. Işık, “AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS”, MJSS, c. 5, sy. 2, ss. 124–138, 2016.
ISNAD Adali, Esra Aytac - Işık, Ayģegül Tuş. “AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS”. MANAS Sosyal Araştırmalar Dergisi 5/2 (Nisan 2016), 124-138.
JAMA Adali EA, Işık AT. AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS. MJSS. 2016;5:124–138.
MLA Adali, Esra Aytac ve Ayģegül Tuş Işık. “AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS”. MANAS Sosyal Araştırmalar Dergisi, c. 5, sy. 2, 2016, ss. 124-38.
Vancouver Adali EA, Işık AT. AIR CONDITIONER SELECTION PROBLEM WITH COPRAS AND ARAS METHODS. MJSS. 2016;5(2):124-38.

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