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An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey

Year 2021, , 179 - 191, 01.03.2021

Seda Türk

https://doi.org/10.21597/jist.799058

Abstract

Green roof systems have been placed as the key to facilitating to mitigate the effects of climate change and weather effects on urban environmental conditions. Green roof systems are defined as sustainable systems due to fact that these systems improve building envelope performance along with many advantages such as improvement on air quality, reduction on carbon emission and mitigation of urban heat island. In addition, Igdir is one of the provinces with the highest carbon emission-environmental pollution in Turkey. Hence, green roof system infrastructure is critical to mitigating effects of anthropogenic emissions of carbon dioxide and other “greenhouse” gases in Igdir. In this study, an intuitionistic fuzzy-based multi-criteria decision making approach is proposed to evaluate 5 neighborhoods that have been selected according to population density to find out a pilot area for installation. Three main; economical, environmental and social, and 12 their corresponding sub-criteria are used and the results indicate that the approach indeed found out that Baglar neighbourhood is the best area as a pilot to build up a green roof system.

Keywords

Green roof system Multi-criteria decision making (MCDM) method Intuitionistic fuzzy sets Location selection problem

References

  • Abdullah L, Adawiyah CWR, Kamal CW, 2017. A Decision Making Method Based on Interval Type-2 Fuzzy Sets: An Approach for Ambulance Location Preference. Applied Computing and Informatics. 14. 10.1016/j.aci.2017.04.003.
  • Altikat A, 2020. Modeling air pollution levels in volcanic geological regional properties and microclimatic conditions. Int. J. Environ. Sci. Technol. 17: 2377–2384.
  • Ascione F, Bianco N, de’ Rossi F, Turni G, Vanoli GP, 2013. Green roofs in European climates. Are effective solutions for the energy savings in air-conditioning?,Applied Energy 104:845-859.
  • Atanassov K, 1986. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20: 87–96.
  • Berardi U, Ghaffarian AH, Ghaffarian A, 2014. State-of-the-art analysis of the environmental benefits of green roofs. Appl. Energy 115: 411-428.
  • Beyhan F, Erbas M, 2013. A Study on Green Roofs with the Examples from the World and Turkey. Gazi University Journal of Science 26(2): 303-318.
  • Brudermann T, Sangkakool T, 2017. Green roofs in temperate climate cities in Europe – An analysis of key decision factors. Urban Forestry & Urban Greening 21: 224-234.
  • Coma J, Perez G, Cabeza LF, 2018. Chapter 4.8—Life Cycle Assessment of Green Roofs. In Nature Based Strategies for Urban and Building Sustainability. Pérez, G., Perini, K., Eds. Butterworth-Heinemann: Oxford, UK, pp. 341–351.
  • Cui FB, Yoy XY, Shi H, Liu HC, 2018. Optimal Siting of Electric Vehicle Charging Stations Using Pythagorean Fuzzy VIKOR Approach. Mathematical Problems in Engineering:1-12.
  • Deveci M, 2018. Site selection for hydrogen underground storage using interval type-2 hesitant fuzzy sets. International Journal of Hydrogen Energy. 10.1016/j.ijhydene.2018.03.127.
  • Gau WL, Buehrer DJ,1993. Vague sets, IEEE Trans. Syst. Man Cybern 23: 610–614.
  • Getter KL, Rowe DB, 2006. The role of extensive green roofs in sustainable development. Hort Science 41 (5): 1276–1285.
  • Herman R, 2003. Green roofs in Germany: yesterday, today and tomorrow. p. 41-45. In Proc. of 1st North American Green Roof Conference: Greening Rooftops for Sustainable Communities, Chicago. 29-30 May 2003. The Cardinal Group, Toronto.
  • Ichihara K, Cohen JP, 2011. New York City property values: what is the impact of green roofs on rental pricing? Lett Spat Resour Sci 4: 21–30.
  • Mic P, Antmen Z F, 2019. A Healthcare Facility Location Selection Problem with Fuzzy TOPSIS Method for a Regional Hospital. Avrupa Bilim ve Teknoloji Dergisi (16): 750-757.
  • Mondal K, Pramanik S, 2014. Intuitionistic Fuzzy Multicriteria Group Decision making Approach to Quality Clay-Brick Selection Problems Based on Grey Relational Analysis. Journal of Applied Quantitative Methods 9(2):35-50.
  • Onder S, 2014. Advances of Green Roofs for Environment in Urban Areas. Turkish Journal of Agricultural and Natural Sciences Special Issue: 2: 2068-2074.
  • Peng LLH, Jim CY, 2015. Economic evaluation of green-roof environmental benefits in the context of climate change: The case of Hong Kong, Urban Forestry & Urban Greening 14(3): 554-561.
  • Perini K, Rosasco P, 2016. Is greening the building envelope economically sustainable? An analysis to evaluate the advantages of economy of scope of vertical greening systems and green roofs. Urban Forestry and Urban Green 20: 328–337.
  • Rahman SRA, Ahmad H, Rosley MSF, 2013. Green Roof: Its Awareness Among Professionals and Potential in Malaysian Market Procedia. Social and Behavioral Sciences 85: 443-453.
  • Razzaghmanesh M, Beecham S, Salemi T, 2016. The role of green roofs in mitigating Urban Heat Island effects in the metropolitan area of Adelaide, South Australia. Urban Forestry and Urban Green 15: 89-102.
  • Rosato P, Valcovich E, Stival CA, Berto R, Cechet G, 2015. Horizontal extensive green roofs in existing buildings. Part one—Technological feature. Valori e Valutazioni Theories and Experiences 8: 29-44.
  • Rosasco P, Perini K, 2019. Selection of (Green) Roof Systems: A Sustainability-Based Multi-Criteria Analysis. Buildings 9(5): 134-151.
  • Sahin F, Kara MK, Koc A, Sahin G, 2010. Multi-criteria decision-making using GIS-AHP for air pollution problem in Igdir Province/Turkey. Environmental Science and Pollution Research 27: 36215–36230.
  • Sangkakool T, Techato K, Zaman R, Brudermann T, 2018. Prospects of green roofs in urban Thailand – A multi-criteria decision analysis. Journal of Cleaner Production 196: 400-410.
  • Shafique M, Kim R, Rafiq M, 2018. Green roof benefits, opportunities and challenges – A review, Renewable and Sustainable Energy Reviews 90: 757-773.
  • Shou-Hsiung C, 2018. Autocratic multiattribute group decision making for hotel location selection based on interval-valued intuitionistic fuzzy sets. Information Sciences. Volume 427:77-87.
  • Szmidt E, Kacprzyk J, 2000. Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems 114 (3): 505-518.
  • Tabatabaee S, Mahdiyar A, Durdyev S, Mohandes SR, Ismail S, 2019. An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach. Journal of Cleaner Production 238: 117956-117969.
  • Tan PY, Sia A, 2005. A pilot green roof research project in Singapore. In Proceedings of the Third Annual Greening Rooftops for Sustainable Communities Conference. Toronto, ON, Canada, 4–6 May 2005.
  • Turk S, Sahin G, 2020. Corrigendum to “Multi-criteria decision-making in the location selection for a solar PV power plant using AHP” [Measurement 129 (2018) 218–226], Measurement, Volume 153.
  • Vijayaraghavan K, 2016. Green roofs: A critical review on the role of components, benefits, limitations and trends. Renewable and Sustainable Energy Reviews 57: 740-752.
  • Wang B, Li JY, 2019. Model for evaluating the enterprise financial performance with interval-valued intuitionistic uncertain linguistic information. Journal of Intelligent and Fuzzy Systems 37 (2): 1587-1596.
  • Zadeh L, 1975. The consept of a linguistic variable and its applications to approximate reasoning. Inform Science 8:199-249.

An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey

Year 2021, , 179 - 191, 01.03.2021

Seda Türk

https://doi.org/10.21597/jist.799058

Abstract

Green roof systems have been placed as the key to facilitating to mitigate the effects of climate change and weather effects on urban environmental conditions. Green roof systems are defined as sustainable systems due to fact that these systems improve building envelope performance along with many advantages such as improvement on air quality, reduction on carbon emission and mitigation of urban heat island. In addition, Igdir is one of the provinces with the highest carbon emission-environmental pollution in Turkey. Hence, green roof system infrastructure is critical to mitigating effects of anthropogenic emissions of carbon dioxide and other “greenhouse” gases in Igdir. In this study, an intuitionistic fuzzy-based multi-criteria decision making approach is proposed to evaluate 5 neighborhoods that have been selected according to population density to find out a pilot area for installation. Three main; economical, environmental and social, and 12 their corresponding sub-criteria are used and the results indicate that the approach indeed found out that Baglar neighbourhood is the best area as a pilot to build up a green roof system.

Keywords

Green roof system Multi-criteria decision making (MCDM) method Intuitionistic fuzzy sets Location selection problem

References

  • Abdullah L, Adawiyah CWR, Kamal CW, 2017. A Decision Making Method Based on Interval Type-2 Fuzzy Sets: An Approach for Ambulance Location Preference. Applied Computing and Informatics. 14. 10.1016/j.aci.2017.04.003.
  • Altikat A, 2020. Modeling air pollution levels in volcanic geological regional properties and microclimatic conditions. Int. J. Environ. Sci. Technol. 17: 2377–2384.
  • Ascione F, Bianco N, de’ Rossi F, Turni G, Vanoli GP, 2013. Green roofs in European climates. Are effective solutions for the energy savings in air-conditioning?,Applied Energy 104:845-859.
  • Atanassov K, 1986. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20: 87–96.
  • Berardi U, Ghaffarian AH, Ghaffarian A, 2014. State-of-the-art analysis of the environmental benefits of green roofs. Appl. Energy 115: 411-428.
  • Beyhan F, Erbas M, 2013. A Study on Green Roofs with the Examples from the World and Turkey. Gazi University Journal of Science 26(2): 303-318.
  • Brudermann T, Sangkakool T, 2017. Green roofs in temperate climate cities in Europe – An analysis of key decision factors. Urban Forestry & Urban Greening 21: 224-234.
  • Coma J, Perez G, Cabeza LF, 2018. Chapter 4.8—Life Cycle Assessment of Green Roofs. In Nature Based Strategies for Urban and Building Sustainability. Pérez, G., Perini, K., Eds. Butterworth-Heinemann: Oxford, UK, pp. 341–351.
  • Cui FB, Yoy XY, Shi H, Liu HC, 2018. Optimal Siting of Electric Vehicle Charging Stations Using Pythagorean Fuzzy VIKOR Approach. Mathematical Problems in Engineering:1-12.
  • Deveci M, 2018. Site selection for hydrogen underground storage using interval type-2 hesitant fuzzy sets. International Journal of Hydrogen Energy. 10.1016/j.ijhydene.2018.03.127.
  • Gau WL, Buehrer DJ,1993. Vague sets, IEEE Trans. Syst. Man Cybern 23: 610–614.
  • Getter KL, Rowe DB, 2006. The role of extensive green roofs in sustainable development. Hort Science 41 (5): 1276–1285.
  • Herman R, 2003. Green roofs in Germany: yesterday, today and tomorrow. p. 41-45. In Proc. of 1st North American Green Roof Conference: Greening Rooftops for Sustainable Communities, Chicago. 29-30 May 2003. The Cardinal Group, Toronto.
  • Ichihara K, Cohen JP, 2011. New York City property values: what is the impact of green roofs on rental pricing? Lett Spat Resour Sci 4: 21–30.
  • Mic P, Antmen Z F, 2019. A Healthcare Facility Location Selection Problem with Fuzzy TOPSIS Method for a Regional Hospital. Avrupa Bilim ve Teknoloji Dergisi (16): 750-757.
  • Mondal K, Pramanik S, 2014. Intuitionistic Fuzzy Multicriteria Group Decision making Approach to Quality Clay-Brick Selection Problems Based on Grey Relational Analysis. Journal of Applied Quantitative Methods 9(2):35-50.
  • Onder S, 2014. Advances of Green Roofs for Environment in Urban Areas. Turkish Journal of Agricultural and Natural Sciences Special Issue: 2: 2068-2074.
  • Peng LLH, Jim CY, 2015. Economic evaluation of green-roof environmental benefits in the context of climate change: The case of Hong Kong, Urban Forestry & Urban Greening 14(3): 554-561.
  • Perini K, Rosasco P, 2016. Is greening the building envelope economically sustainable? An analysis to evaluate the advantages of economy of scope of vertical greening systems and green roofs. Urban Forestry and Urban Green 20: 328–337.
  • Rahman SRA, Ahmad H, Rosley MSF, 2013. Green Roof: Its Awareness Among Professionals and Potential in Malaysian Market Procedia. Social and Behavioral Sciences 85: 443-453.
  • Razzaghmanesh M, Beecham S, Salemi T, 2016. The role of green roofs in mitigating Urban Heat Island effects in the metropolitan area of Adelaide, South Australia. Urban Forestry and Urban Green 15: 89-102.
  • Rosato P, Valcovich E, Stival CA, Berto R, Cechet G, 2015. Horizontal extensive green roofs in existing buildings. Part one—Technological feature. Valori e Valutazioni Theories and Experiences 8: 29-44.
  • Rosasco P, Perini K, 2019. Selection of (Green) Roof Systems: A Sustainability-Based Multi-Criteria Analysis. Buildings 9(5): 134-151.
  • Sahin F, Kara MK, Koc A, Sahin G, 2010. Multi-criteria decision-making using GIS-AHP for air pollution problem in Igdir Province/Turkey. Environmental Science and Pollution Research 27: 36215–36230.
  • Sangkakool T, Techato K, Zaman R, Brudermann T, 2018. Prospects of green roofs in urban Thailand – A multi-criteria decision analysis. Journal of Cleaner Production 196: 400-410.
  • Shafique M, Kim R, Rafiq M, 2018. Green roof benefits, opportunities and challenges – A review, Renewable and Sustainable Energy Reviews 90: 757-773.
  • Shou-Hsiung C, 2018. Autocratic multiattribute group decision making for hotel location selection based on interval-valued intuitionistic fuzzy sets. Information Sciences. Volume 427:77-87.
  • Szmidt E, Kacprzyk J, 2000. Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems 114 (3): 505-518.
  • Tabatabaee S, Mahdiyar A, Durdyev S, Mohandes SR, Ismail S, 2019. An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach. Journal of Cleaner Production 238: 117956-117969.
  • Tan PY, Sia A, 2005. A pilot green roof research project in Singapore. In Proceedings of the Third Annual Greening Rooftops for Sustainable Communities Conference. Toronto, ON, Canada, 4–6 May 2005.
  • Turk S, Sahin G, 2020. Corrigendum to “Multi-criteria decision-making in the location selection for a solar PV power plant using AHP” [Measurement 129 (2018) 218–226], Measurement, Volume 153.
  • Vijayaraghavan K, 2016. Green roofs: A critical review on the role of components, benefits, limitations and trends. Renewable and Sustainable Energy Reviews 57: 740-752.
  • Wang B, Li JY, 2019. Model for evaluating the enterprise financial performance with interval-valued intuitionistic uncertain linguistic information. Journal of Intelligent and Fuzzy Systems 37 (2): 1587-1596.
  • Zadeh L, 1975. The consept of a linguistic variable and its applications to approximate reasoning. Inform Science 8:199-249.
There are 34 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Endüstri Mühendisliği / Industrial Engineering
Authors

Seda Türk 0000-0001-9045-0694

Publication Date March 1, 2021
Submission Date September 23, 2020
Acceptance Date November 26, 2020
Published in Issue Year 2021

Cite

APA Türk, S. (2021). An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey. Journal of the Institute of Science and Technology, 11(1), 179-191. https://doi.org/10.21597/jist.799058
AMA Türk S. An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey. Iğdır Üniv. Fen Bil Enst. Der. March 2021;11(1):179-191. doi:10.21597/jist.799058
Chicago Türk, Seda. “An Intuitionistic Fuzzy-Based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey”. Journal of the Institute of Science and Technology 11, no. 1 (March 2021): 179-91. https://doi.org/10.21597/jist.799058.
EndNote Türk S (March 1, 2021) An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey. Journal of the Institute of Science and Technology 11 1 179–191.
IEEE S. Türk, “An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey”, Iğdır Üniv. Fen Bil Enst. Der., vol. 11, no. 1, pp. 179–191, 2021, doi: 10.21597/jist.799058.
ISNAD Türk, Seda. “An Intuitionistic Fuzzy-Based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey”. Journal of the Institute of Science and Technology 11/1 (March 2021), 179-191. https://doi.org/10.21597/jist.799058.
JAMA Türk S. An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey. Iğdır Üniv. Fen Bil Enst. Der. 2021;11:179–191.
MLA Türk, Seda. “An Intuitionistic Fuzzy-Based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey”. Journal of the Institute of Science and Technology, vol. 11, no. 1, 2021, pp. 179-91, doi:10.21597/jist.799058.
Vancouver Türk S. An Intuitionistic Fuzzy-based MCDM Approach For Location Selection Of Pilot Area For Green Roof Systems In Igdir Province, Turkey. Iğdır Üniv. Fen Bil Enst. Der. 2021;11(1):179-91.