Skip to main content
SpringerLink
Log in

Fuzzy Decision-Making of a Process for Quality Management

  • Conference paper
  • First Online:
Machine Learning, Optimization, and Big Data (MOD 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10122))

Included in the following conference series:

  • 2574 Accesses

Abstract

Problem solving and decision-making are important skills for business and life. Good decision-making requires a mixture of skills: creative development and identification of options, clarity of judgement, firmness of decision, and effective implementation. SWOT analysis is a powerful tool that can help decision makers achieve their goals and objectives. In this study, data obtained through SWOT analysis from a quality department of a textile company were integrated by means of fuzzy multi criterian decision making. The aim of the study was to choose the policy most appropriate for the beneficial development of the quality department.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Aytaç, E., Tuşişik, A., Kundakci, N.: Fuzzy electre 1 method for evaluating firm alternatives. Ege Akademik Bakiş 11, 125–134 (2011)

    Google Scholar 

  2. Kaya, T., Kahraman, C.: An integrated fuzzy AHP–ELECTRE methodology for environmental impact assessment. Expert Syst. Appl. 38, 8553–8562 (2011)

    Article  Google Scholar 

  3. Rouyendegh, B., Erol, S.: Selecting the best project using the fuzzy electre method. Math. Prob. Eng., Article ID 790142, 12 pages (2012). Hindawi Publishing Corporation

    Google Scholar 

  4. Wang, J., Cheng, C., Kun-Cheng, H.: Fuzzy hierarchical TOPSIS for supplier selection. Appl. Soft Comput. 9, 377–386 (2009)

    Article  Google Scholar 

  5. Marbini, A., Tavana, M., Moradi, M., Kangi, F.: Fuzzy group electre method for safety and health assessment in hazardous waste recycling facilities. Saf. Sci. 51, 414–426 (2013)

    Article  Google Scholar 

  6. Torlak, G., Şevkli, M., Sanal, M., Zaim, S.: Analyzing business competition by using fuzzy TOPSIS method: an example of turkish domestic airline industry. Expert Syst. Appl. 38, 3396–3406 (2011)

    Article  Google Scholar 

  7. Öztürk, A., Ertuğrul, İ., Karakaşoğlu, N.: Nakliye Firmasi Seçiminde Bulanik AHP ve Bulanik TOPSİS Yöntemlerinin Karşilaştirilmasi. Marmara üniversitesi İ.İ.B.F. Dergisi 25, 2 (2008)

    Google Scholar 

  8. Yücenur, G., Demirel, N., Demirel, T.: SWOT analysis and integrated fuzzy ahp/anp methodologies for strategic policy selection in turkish economy. J. Eng. Nat. Sci. 28, 275–286 (2010)

    Google Scholar 

  9. Çinar, N.: Kuruluş Yeri Seçiminde Bulanik TOPSİS Yöntemi ve Bankacilik Sektöründe Bir Uygulama. KMÜ Sosyal ve Ekonomik Araştirmalar Dergisi 12, 37–45 (2010)

    Google Scholar 

  10. Erginel, N., Çakmak, T., Şentürk, S.: Numara Taşinabilirliği Uygulamasi Sonrasi Türkiye’de Gsm Operatör Tercihlerinin Bulanik Topsis Yaklaşimi ile Belirlenmesi. Anadolu Üniversitesi Bilim Ve Teknoloji Dergisi 11(2), 81–93 (2010)

    Google Scholar 

  11. Cebeci, U.: Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Syst. Appl. 36, 8900–8909 (2009)

    Article  Google Scholar 

  12. Gürbüz, F., Pardalos, M.P.: A decision making process application for the slurry production in ceramics via fuzzy cluster and data mining. J. Ind. Manage. Optim. 8(2), 285–297 (2012)

    Article  Google Scholar 

  13. Triantaphyllou, E., Lootsma, F., Pardalos, P.M., Mann, S.H.: On the evaluation and application of different scales for quantifying pairwise comparisons in fuzzy sets. J. Multi-Criteria Decis. Anal. 3, 133–155 (1994)

    Article  MATH  Google Scholar 

  14. Doumpos, M., Zopounidis, K., Pardalos, P.M.: Multicriteria sorting methodology: application to financial decision problems. J. Parallel Emergent Distrib. Syst. 15(1–2), 113–129 (2000)

    MathSciNet  Google Scholar 

  15. Ekmekçioglu, M., Kutlu, A.C., Kahraman, C.: A fuzzy multi-criteria SWOT analysis: an application to nuclear power plant site selection. Int. J. Comput. Intell. Syst. 4(4), 583–595 (2011)

    Article  Google Scholar 

  16. Prisenk, J., Borec, A.: A combination of the multi-criteria approach and SWOT analysis for the identification of shortcomings in the production and marketing of local food. Agric. Sci. J. 16, 31–37 (2012)

    Google Scholar 

  17. Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., Delen, D.: Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey. Expert Syst. Appl. 39, 14–24 (2012)

    Article  Google Scholar 

  18. Bas, E.: The integrated framework for analysis of electricity supply chain using an integrated SWOT-fuzzy TOPSIS methodology combined with AHP: The case of Turkey. Electr. Power Energy Syst. 44, 897–907 (2013)

    Article  Google Scholar 

  19. Zavadskas, E.K., Turskis, Z., Tamosaitiene, J.: Selection of construction enterprises management strategy based on the SWOT and multi-criteria analysis. Arch. Civ. Mech. Eng. XI(4), 1063–1082 (2011)

    Google Scholar 

  20. Kahraman, C., Cebeci, U., Ruan, D.: Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey. Int. J. Prod. Econ. 87, s.171–s.184 (2004)

    Article  Google Scholar 

  21. Chang, D.Y.: Application of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res. 95(3), s.649–s.655 (1996)

    Article  MATH  Google Scholar 

  22. Liou, T.S., Wang, M.J.: Ranking fuzzy numbers with integral value. Fuzzy Sets Syst. 50, 247–255 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  23. Chen, Chen-Tung: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114, 1–9 (2000)

    Article  MATH  Google Scholar 

  24. Gürbüz, F., Yalçin, N.: A swot-fahp application for a textile firm in Turkey. In: Business Modeling, Information Systems and Enterprise Optimization Conference, Tirana, Albania, 13 July–16 July (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Erciyes University, Kayseri, Turkey

    Feyza Gürbüz

  2. Center for Applied Optimization, Department of Industrial and Systems Engineering, Univesity of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

Authors
  1. Feyza Gürbüz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Panos M. Pardalos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Feyza Gürbüz .

Editor information

Editors and Affiliations

  1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

  2. Semantic Technology Laboratory, National Research Council (CNR), Catania, Italy

    Piero Conca

  3. Dipartimento di Sociologia e Metodi della Ricerca Sociale, Università di Catania, Catania, Italy

    Giovanni Giuffrida

  4. Department of Mathematics and Computer Science, University of Catania, Catania, Italy

    Giuseppe Nicosia

Appendices

Appendix 1: Linguistic Variables Used in the Study

See Table 1.

Table 1. Linguistic variables used in determining the weight of criteria
Full size table
Table 2. Linguistic variables used in assessing alternatives
Full size table
Table 3. Proximity coefficient and level of acceptability
Full size table

Appendix 2

Table 4. Swot factors
Full size table

Appendix 3: Tables of Fuzzy AHP

Table 5. FAHP assessment scale
Full size table
Table 6. Comparison of criteria with one another
Full size table
Table 7. Combination of choices with criteria and the priority order of the choices
Full size table

Appendix 4: Tables of Fuzzy TOPSIS

Table 8. Assessment of criteria by the decision maker
Full size table
Table 9. Assessment of the alternatives under criteria
Full size table
Table 10. Assessment of crieria in the form of triangular fuzzy numbers
Full size table
Table 11. Presentation in triangular fuzzy numbers of the alternatives assessment
Full size table
Table 12. Significance weights criteria
Full size table
Table 13. Fuzzy decision matrix
Full size table
Table 14. Normalized fuzzy decision matrix
Full size table
Table 15. Weighted normalized fuzzy decision matrix
Full size table
Table 16. Fuzzy positive ideal solutions
Full size table
Table 17. Fuzzy negative ideal solutions
Full size table
Table 18. The differentials between AI and A* for each criterion
Full size table
Table 19. The calculation of the differentials between AI and A for each criterion
Full size table
Table 20. D *I , D –I and CcI values
Full size table

Appendix 5: Tables of Fuzzy ELECTRE

Fig. 1.
figure 2

Steps of the Fuzzy ELECTRE application

Full size image
Table 21. Computation of the differentials between two alternatives for each criterion
Full size table
Table 22. Compatibility matrix
Full size table
Table 23. Incompatibility matrix
Full size table
Table 24. Matrix B
Full size table
Table 25. Matrix H
Full size table
Table 26. General matrix Z
Full size table
Fig. 3.
figure 3

Decision graph

Full size image
Table 27. Final arrangement of criteria
Full size table

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Gürbüz, F., Pardalos, P.M. (2016). Fuzzy Decision-Making of a Process for Quality Management. In: Pardalos, P., Conca, P., Giuffrida, G., Nicosia, G. (eds) Machine Learning, Optimization, and Big Data. MOD 2016. Lecture Notes in Computer Science(), vol 10122. Springer, Cham. https://doi.org/10.1007/978-3-319-51469-7_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51469-7_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51468-0

  • Online ISBN: 978-3-319-51469-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation