Skip to main content

Design Factors for Sustainable University Campus via Interval Type 2 Fuzzy Set

  • Conference paper
  • First Online:
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making (INFUS 2019)

Abstract

Sustainable development has gained importance in recent years as a development model that aims to create environmental awareness for future generations within the economic and social development goals of the countries. Sustainable development is concerned with the effective and efficient use of rapidly declining natural resources for the growing population. The achievement of the goals determined in sustainable development and the transfer to the next generations is realized through sustainable education. Due to the innovative and pioneering role of universities in society, they are the most important educational institutions that contribute to the spread of a sustainable lifestyle in society. In this study, Interval Type-2 Fuzzy Quality Function Deployment (IT2_FQFD) approach was developed to improve sustainable university attributes. Firstly, the most important 12 sustainability criteria (SRs) were weighted with Interval Type-2 Fuzzy Analytic Hierarchy Process (IT2_FAHP). Then QFD approach was used to determine the importance of sustainability factor of university campus, the relations between SRs and SDs, and the correlations matrix among SDs via interval type-2 fuzzy sets. After that, the design attributes were ranked with fuzzy trade-off method. The fuzzy trade-off is a novel ranking method covering all of the solution space in order to find an optimal solution in decision-making problems with conflict criteria. This paper is the first study that presents a new method of combined IT2_FQFD and IT2_FAHP, which evaluates the sustainable university model considering the needs of student and academicians. As a result of this study, the most appropriate SDs were determined and ranked according to their importance level.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Parmesan, C.: Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Syst. 37, 637–669 (2006)

    Article  Google Scholar 

  2. Akao, Y.: History of quality function deployment in Japan. The best on quality: targets, improvements, systems. Hanser Publishers, Munich (1990)

    Google Scholar 

  3. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  Google Scholar 

  4. Çevik Onar, S., Büyüközkan, G., Öztayşi, B., Kahraman, C.: A new hesitant fuzzy QFD approach: An application to computer workstation selection. Appl. Soft Comput. 46, 1–16 (2016)

    Article  Google Scholar 

  5. Li, M.: The extension of quality function deployment based on 2-tuple linguistic representation model for product design under multigranularity linguistic environment. Mathematical Problems in Engineering 2012 (2012)

    Google Scholar 

  6. Ko, W.C.: Exploiting 2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis. Comput. Ind. Eng. 64, 858–865 (2013)

    Article  Google Scholar 

  7. Zadeh, L.A.: On fuzzy algorithms. Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems, pp. 127–147. World Scientific, New York (1996)

    Chapter  Google Scholar 

  8. Mendel, J.M.: Interval type-2 fuzzy logic systems: theory and design. IEEE Trans. Fuzzy Syst. 8, 535–550 (2000)

    Article  Google Scholar 

  9. UI-Greenmetric-Guideline Homepage. http://greenmetric.ui.ac.id/wp-content/uploads/2015/07/UI-Greenmetric-Guideline-2016.pdf. Accessed 15 Jan 2017

  10. Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1, 83 (2008)

    Google Scholar 

  11. Chen, S.H., Hsieh, C.H.: Ranking generalized fuzzy number with graded mean integration representation. In: Proceedings of the Eighth International Conference of Fuzzy Sets and Systems Association World Congress, vol. 2, pp. 551–555 (1999)

    Google Scholar 

  12. Chen, S.-M., Lee, L.-W.: Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst. Appl. 37, 2790–2798 (2010)

    Article  Google Scholar 

  13. Kahraman, C., Öztayşi, B., Sarı, İ.U., Turanoğlu, E.: Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Know.-Based Syst. 59, 48–57 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sema Kayapinar Kaya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaya, S.K., Erginel, N. (2020). Design Factors for Sustainable University Campus via Interval Type 2 Fuzzy Set. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_131

Download citation

Publish with us

Policies and ethics