An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods

Selcuk Cebi; Esra Ilbahar; Cengiz Kahraman

doi:10.1007/978-3-030-23756-1_66

An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods

Selcuk Cebi^*, Esra Ilbahar, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

Inadequate disposal of municipal solid waste might lead to serious environmental pollution. Its utilization as a clean energy source may achieve the aim of meeting energy demand as well as waste disposal. Thus, the treatment and disposal of municipal solid waste and determining the best disposal methods are extremely important. However, selection of the optimal waste disposal method is not only based on economic factors, energy recovery rate or volume reduction ability, but also environmental requirements. The assessment of these factors requires an intuitionistic fuzzy approach due to the existence of vague and imprecise information. Therefore, in this study, a combination of intuitionistic fuzzy sets and axiomatic design is adopted to assess waste disposal methods for Istanbul. Although landfilling is the most commonly used disposal method in Istanbul, this study shows that composting and recycling methods are more preferable.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	537-545
Sayfa sayısı	9
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_66
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

BM SKH

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Belgeye Erişim

10.1007/978-3-030-23756-1_66

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Cebi, S., Ilbahar, E., & Kahraman, C. (2020). An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 537-545). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_66

Cebi, Selcuk ; Ilbahar, Esra ; Kahraman, Cengiz. / An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 537-545 (Advances in Intelligent Systems and Computing).

@inproceedings{ad83c2b7a9894d8bbe21759a12f1a5bf,

title = "An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods",

abstract = "Inadequate disposal of municipal solid waste might lead to serious environmental pollution. Its utilization as a clean energy source may achieve the aim of meeting energy demand as well as waste disposal. Thus, the treatment and disposal of municipal solid waste and determining the best disposal methods are extremely important. However, selection of the optimal waste disposal method is not only based on economic factors, energy recovery rate or volume reduction ability, but also environmental requirements. The assessment of these factors requires an intuitionistic fuzzy approach due to the existence of vague and imprecise information. Therefore, in this study, a combination of intuitionistic fuzzy sets and axiomatic design is adopted to assess waste disposal methods for Istanbul. Although landfilling is the most commonly used disposal method in Istanbul, this study shows that composting and recycling methods are more preferable.",

keywords = "Axiomatic design, Disposal methods, Intuitionistic fuzzy sets, Solid waste",

author = "Selcuk Cebi and Esra Ilbahar and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_66",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "537--545",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and A.Cagri Tolga",

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

}

Cebi, S, Ilbahar, E & Kahraman, C 2020, An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 537-545, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_66

An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods. / Cebi, Selcuk; Ilbahar, Esra; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 537-545 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods

AU - Cebi, Selcuk

AU - Ilbahar, Esra

AU - Kahraman, Cengiz

PY - 2020

Y1 - 2020

N2 - Inadequate disposal of municipal solid waste might lead to serious environmental pollution. Its utilization as a clean energy source may achieve the aim of meeting energy demand as well as waste disposal. Thus, the treatment and disposal of municipal solid waste and determining the best disposal methods are extremely important. However, selection of the optimal waste disposal method is not only based on economic factors, energy recovery rate or volume reduction ability, but also environmental requirements. The assessment of these factors requires an intuitionistic fuzzy approach due to the existence of vague and imprecise information. Therefore, in this study, a combination of intuitionistic fuzzy sets and axiomatic design is adopted to assess waste disposal methods for Istanbul. Although landfilling is the most commonly used disposal method in Istanbul, this study shows that composting and recycling methods are more preferable.

AB - Inadequate disposal of municipal solid waste might lead to serious environmental pollution. Its utilization as a clean energy source may achieve the aim of meeting energy demand as well as waste disposal. Thus, the treatment and disposal of municipal solid waste and determining the best disposal methods are extremely important. However, selection of the optimal waste disposal method is not only based on economic factors, energy recovery rate or volume reduction ability, but also environmental requirements. The assessment of these factors requires an intuitionistic fuzzy approach due to the existence of vague and imprecise information. Therefore, in this study, a combination of intuitionistic fuzzy sets and axiomatic design is adopted to assess waste disposal methods for Istanbul. Although landfilling is the most commonly used disposal method in Istanbul, this study shows that composting and recycling methods are more preferable.

KW - Axiomatic design

KW - Disposal methods

KW - Intuitionistic fuzzy sets

KW - Solid waste

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SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

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EP - 545

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Cebi S, Ilbahar E, Kahraman C. An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 537-545. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_66

An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods

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BM SKH

Belgeye Erişim

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