Skip to main content
SpringerLink
Log in
Book cover

Fuzzy Logic in Its 50th Year pp 309–326Cite as

Fuzzy Sets in the Evaluation of Socio-Ecological Systems: An Interval-Valued Intuitionistic Fuzzy Multi-criteria Approach

  • Chapter
  • First Online:

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 341))

Abstract

In recent days, the use of the fuzzy set theory to deal with social complexity has become more attractive as a research area to academics who wish to contribute to sustainable development. The socio-ecological systems are one of the well-known sub-disciplines of social science which is very critical issue to maintain sustainability and this concept basically concerns with the human-environment interactions. These systems involve various stakeholders with different levels of knowledge and experience from diverse social platforms. The basic characteristic of these systems is identified as having high level of uncertainty and incomplete information. The main purpose of this chapter is to demonstrate how to incorporate fuzzy sets theory into social sciences. In this chapter, an illustrative example which consists of a wide variety of social actors is used to evaluate sustainable management options utilizing the extended technique for order preference by similarity to ideal solution (TOPSIS) method for interval valued intuitionistic fuzzy multi-criteria group decision making.

This is a preview of subscription content, 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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. Ahn, J., Han, K., Oh, S., Lee, C.: An application of interval-valued intuitionistic fuzzy sets for medical diagnosis of headache. Int. J. Innov. Comput. Inf. Control, 2755–2762 (2011)

    Google Scholar 

  2. Ananda, J., Herath, G.: A critical review of multi-criteria decision making methods with special reference to forest management and planning. Ecol. Econ. 68, 2535–2548 (2009). doi:10.1016/j.ecolecon.2009.05.010

    Article  Google Scholar 

  3. Atanassov, K., Gargov, G.: Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31, 343–349 (1989). doi:10.1016/0165-0114(89)90205-4

    Article  MathSciNet  MATH  Google Scholar 

  4. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986). doi:10.1016/S0165-0114(86)80034-3

    Article  MathSciNet  MATH  Google Scholar 

  5. Bell, N., Schuurman, N., Hayes, M.V.: Using GIS-based methods of multicriteria analysis to construct socio-economic deprivation indices. Int. J. Health Geogr. 6, 17 (2007). doi:10.1186/1476-072X-6-17

    Article  Google Scholar 

  6. Berkes, F., Folke, C. (eds.): Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience, Transferred to Digital Printing. Cambridge Univ. Press, Cambridge (2002)

    Google Scholar 

  7. Bryan, B.A., Crossman, N.D.: Systematic regional planning for multiple objective natural resource management. J. Environ. Manage. 88, 1175–1189 (2008). doi:10.1016/j.jenvman.2007.06.003

    Article  Google Scholar 

  8. Buchholz, T., Rametsteiner, E., Volk, T.A., Luzadis, V.A.: Multi Criteria Analysis for bioenergy systems assessments. Energy Policy 37, 484–495 (2009). doi:10.1016/j.enpol.2008.09.054

    Article  Google Scholar 

  9. Castanon-Puga, M., Gaxiola-Pacheco, C., Castro, J.R., Martinez, R.J., Flores, D.-L.: Towards A Multi-Dimensional Modelling Of Complex Social Systems Using Data Mining And Type-2 Neuro-Fuzzy System: Religious Affiliation Case Of Study, pp. 136–142. ECMS (2012) doi:10.7148/2012-0136-0142

  10. Chatterjee, K., Bandyopadhyay, A., Ghosh, A., Kar, S.: Assessment of environmental factors causing wetland degradation, using fuzzy analytic network process: a case study on Keoladeo National Park. India. Ecol. Model. 316, 1–13 (2015). doi:10.1016/j.ecolmodel.2015.07.029

    Article  Google Scholar 

  11. Chen, Z., Yang, W.: A new multiple attribute group decision making method in intuitionistic fuzzy setting. Appl. Math. Model. 35, 4424–4437 (2011). doi:10.1016/j.apm.2011.03.015

    Article  MathSciNet  MATH  Google Scholar 

  12. Cumming, G.S.: Spatial Resilience in Social-Ecological Systems. Springer, Dordrecht (2011)

    Book  Google Scholar 

  13. del Acebo, E., de la Rosa, J.L.: A Fuzzy System Based Approach to Social Modeling in Multi-agent Systems, p. 463. ACM Press (2002). doi:10.1145/544741.544850

  14. Dimitrov, V., Hodge, B.: Why does fuzzy logic need the challenge of social complexity? In: Dimitrov, V., Korotkich, V. (eds.) Fuzzy Logic, pp. 27–44. Physica-Verlag HD, Heidelberg (2002)

    Google Scholar 

  15. Elsawah, S., Guillaume, J.H.A., Filatova, T., Rook, J., Jakeman, A.J.: A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: from cognitive maps to agent-based models. J. Environ. Manage. 151, 500–516 (2015). doi:10.1016/j.jenvman.2014.11.028

    Article  Google Scholar 

  16. Ferretti, V., Pomarico, S.: Ecological land suitability analysis through spatial indicators: an application of the analytic network process technique and ordered weighted average approach. Ecol. Indic. 34, 507–519 (2013). doi:10.1016/j.ecolind.2013.06.005

    Article  Google Scholar 

  17. Folke, C.: Resilience: the emergence of a perspective for social–ecological systems analyses. Glob. Environ. Change 16, 253–267 (2006). doi:10.1016/j.gloenvcha.2006.04.002

    Article  Google Scholar 

  18. Fontana, V., Radtke, A., Bossi Fedrigotti, V., Tappeiner, U., Tasser, E., Zerbe, S., Buchholz, T.: Comparing land-use alternatives: using the ecosystem services concept to define a multi-criteria decision analysis. Ecol. Econ. 93, 128–136 (2013). doi:10.1016/j.ecolecon.2013.05.007

    Article  Google Scholar 

  19. Garmendia, E., Gamboa, G.: Weighting social preferences in participatory multi-criteria evaluations: a case study on sustainable natural resource management. Ecol. Econ. 84, 110–120 (2012). doi:10.1016/j.ecolecon.2012.09.004

    Article  Google Scholar 

  20. Ginis, L.A.: The use of fuzzy cognitive maps for the analysis of structure of social and economic system for the purpose of its sustainable development. Mediterr. J. Soc. Sci. (2015). doi:10.5901/mjss.2015.v6n3s5p113

  21. Gray, S.A., Gray, S., De Kok, J.L., Helfgott, A.E.R., O’Dwyer, B., Jordan, R., Nyaki, A.: Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems. Ecol. Soc. 20 (2015). doi:10.5751/ES-07396-200211

  22. Gray, S., Chan, A., Clark, D., Jordan, R.: Modeling the integration of stakeholder knowledge in social–ecological decision-making: benefits and limitations to knowledge diversity. Ecol. Model. 229, 88–96 (2012). doi:10.1016/j.ecolmodel.2011.09.011

    Article  Google Scholar 

  23. Habib, F., Shokoohi, A.: Classification and resolving urban problems by means of fuzzy approach. World Acad. Sci. Eng. Technol. Int. Sci. Index 36 3(12), 774–781 (2009)

    Google Scholar 

  24. Huang, I.B., Keisler, J., Linkov, I.: Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Sci. Total Environ. 409, 3578–3594 (2011). doi:10.1016/j.scitotenv.2011.06.022

    Article  Google Scholar 

  25. Huang, Z., Chen, S., Xia, Y.: Incorporate intelligence into an ecological system: An adaptive fuzzy control approach. Appl. Math. Comput. 177, 243–250 (2006). doi:10.1016/j.amc.2005.11.004

    MathSciNet  MATH  Google Scholar 

  26. Hwang, C.-L., Yoon, K.: Multiple attribute decision making. Lecture Notes in Economics and Mathematical Systems. Springer, Berlin, Heidelberg (1981)

    Google Scholar 

  27. Janssen, M.: Complexity and Ecosystem Management: The Theory and Practice of Multi-agent Systems. Edward Elgar Pub, Chelteham, UK, Northhampton, MA (2002)

    Google Scholar 

  28. Jeng, D. J.-F., Tzeng, G.-H.: Social influence on the use of Clinical Decision Support Systems: Revising the Unified Theory of Acceptance and Use of Technology by the fuzzy DEMATEL technique. Comput. Ind. Eng. 62, 819–828 (2012)

    Google Scholar 

  29. Joerin, F., Thériault, M., Musy, A.: Using GIS and outranking multicriteria analysis for land-use suitability assessment. Int. J. Geogr. Inf. Sci. 15, 153–174 (2001). doi:10.1080/13658810051030487

    Article  Google Scholar 

  30. Karnatak, H.C., Saran, S., Bhatia, K., Roy, P.S.: Multicriteria spatial decision analysis in web GIS environment. GeoInformatica 11, 407–429 (2007). doi:10.1007/s10707-006-0014-8

    Article  Google Scholar 

  31. Kok, K.: The potential of fuzzy cognitive Maps for semi-quantitative scenario development, with an example from Brazil. Glob. Environ. Change 19, 122–133 (2009). doi:10.1016/j.gloenvcha.2008.08.003

    Article  Google Scholar 

  32. Lachassagne, P., Wyns, R., Bérard, P., Bruel, T., Chéry, L., Coutand, T., Desprats, J.-F., Strat, P.: Exploitation of high-yields in hard-rock aquifers: downscaling methodology combining GIS and multicriteria analysis to delineate field prospecting zones. Ground Water 39, 568–581 (2001). doi:10.1111/j.1745-6584.2001.tb02345.x

    Article  Google Scholar 

  33. Lee, H., Oh, K., Park, D., Jung, J., Yoon, S.: Fuzzy expert system to determine stream water quality classification from ecological information. Water Sci. Technol. 36, 199–206 (1997). doi:10.1016/S0273-1223(97)00732-4

    Article  Google Scholar 

  34. Lin, C.-M., Mon, Y.-J., Maa, J.-H.: Ecological systems control by fuzzy logic controller. Asian J. Control 2, 274–280 (2008). doi:10.1111/j.1934-6093.2000.tb00032.x

    Article  Google Scholar 

  35. Li, W., Guo, G., Yue, C., Zhao, Y.: Dynamic programming methodology for multi-criteria group decision-making under ordinal preferences. J. Syst. Eng. Electron. 21, 975–980 (2010). doi:10.3969/j.issn.1004-4132.2010.06.008

    Article  Google Scholar 

  36. Mago, V.K., Bakker, L., Papageorgiou, E.I., Alimadad, A., Borwein, P., Dabbaghian, V.: Fuzzy cognitive maps and cellular automata: an evolutionary approach for social systems modelling. Appl. Soft Comput. 12, 3771–3784 (2012). doi:10.1016/j.asoc.2012.02.020

    Article  Google Scholar 

  37. Malczewski, J.: Ordered weighted averaging with fuzzy quantifiers: GIS-based multicriteria evaluation for land-use suitability analysis. Int. J. Appl. Earth Obs. Geoinformation 8, 270–277 (2006). doi:10.1016/j.jag.2006.01.003

    Article  Google Scholar 

  38. Malekmohammadi, B., Rahimi Blouchi, L.: Ecological risk assessment of wetland ecosystems using multi criteria decision making and geographic information system. Ecol. Indic. 41, 133–144 (2014). doi:10.1016/j.ecolind.2014.01.038

    Article  Google Scholar 

  39. Márquez, B.Y., Castañon-Puga, M., Castro, J.R., Suarez, D.: Methodology for the Modeling of Complex Social System Using Neuro-Fuzzy and Distributed Agencies. J. Sel. Areas Softw. Eng, JSSE (2011)

    Google Scholar 

  40. Obiedat, M., Samarasinghe, S.: Fuzzy representation and aggregation of fuzzy cognitive maps. In: 20th International Congress Modeling Simulation (2013)

    Google Scholar 

  41. Ocampo-Duque, W., Juraske, R., Kumar, V., Nadal, M., Domingo, J.L., Schuhmacher, M.: A concurrent neuro-fuzzy inference system for screening the ecological risk in rivers. Environ. Sci. Pollut. Res. 19, 983–999 (2012). doi:10.1007/s11356-011-0595-0

    Article  Google Scholar 

  42. Oikonomou, V., Dimitrakopoulos, P.G., Troumbis, A.Y.: Incorporating ecosystem function concept in environmental planning and decision making by means of multi-criteria evaluation: the case-study of Kalloni, Lesbos. Greece. Environ. Manage. 47, 77–92 (2011). doi:10.1007/s00267-010-9575-2

    Article  Google Scholar 

  43. Olazabal, M., Pascual, U.: Use of fuzzy cognitive maps to study urban resilience and transformation. Innov. Soc. Transit, Environ (2015). doi:10.1016/j.eist.2015.06.006

    Google Scholar 

  44. Onar, S.C., Oztaysi, B., Otay, İ., Kahraman, C.: Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy (2015). doi:10.1016/j.energy.2015.06.086

    Google Scholar 

  45. Park, J.H., Lim, K.M., Park, J.S., Kwun, Y.C.: Distances between interval-valued intuitionistic fuzzy sets. J. Phys: Conf. Ser. 96, 012089 (2008). doi:10.1088/1742-6596/96/1/012089

    Google Scholar 

  46. Park, J.H., Park, I.Y., Kwun, Y.C., Tan, X.: Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment. Appl. Math. Model. 35, 2544–2556 (2011). doi:10.1016/j.apm.2010.11.025

    Article  MathSciNet  MATH  Google Scholar 

  47. Ragin, C.C.: Fuzzy sets and social research. Sociol. Methods Res. 33, 423–430 (2005). doi:10.1177/0049124105274499

    Article  MathSciNet  Google Scholar 

  48. Roetter, R.P., Hoanh, C.T., Laborte, A.G., Van Keulen, H., Van Ittersum, M.K., Dreiser, C., Van Diepen, C.A., De Ridder, N., Van Laar, H.H.: Integration of systems network (SysNet) tools for regional land use scenario analysis in Asia. Environ. Model Softw. 20, 291–307 (2005). doi:10.1016/j.envsoft.2004.01.001

    Article  Google Scholar 

  49. Social-ecological systems—Stockholm Resilience Centre [WWW Document], 2007. URL http://stockholmresilience.org/21/research/what-is-resilience/research-background/research-framework/social-ecological-systems.html. Accessed 15 Sept 2015

  50. Taghizadeh, H., Fasghandis, G.S., Zeinalzadeh, A.: Evaluation of corporate social responsibility using fuzzy expert system. Res. J. Appl. Sci. Eng. Technol. 6, 3047–3053 (2013)

    Google Scholar 

  51. Tan, C.: A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS. Expert Syst. Appl. 38, 3023–3033 (2011). doi:10.1016/j.eswa.2010.08.092

    Article  Google Scholar 

  52. Vaisey, S.: Fuzzy set theory: applications in the social sciences. Sage. Sociol. Methods Res. 37, 455–457 (2009) (Book Review: Smithson, M., Verkuilen, J.: Thousand Oaks, CA, 2006). doi:10.1177/0049124107306675

    Google Scholar 

  53. Vanwindekens, F.M., Stilmant, D., Baret, P.V.: The relevance of fuzzy cognitive mapping approaches for assessing adaptive capacity and resilience in social-ecological systems. In: Papadopoulos, H., Andreou, A.S., Iliadis, L., Maglogiannis, I. (eds.) Artificial Intelligence Applications and Innovations, pp. 587–596. Springer, Berlin, Heidelberg (2013)

    Chapter  Google Scholar 

  54. Wang, W., Xin, X.: Distance measure between intuitionistic fuzzy sets. Pattern Recognit. Lett. 26, 2063–2069 (2005). doi:10.1016/j.patrec.2005.03.018

    Article  Google Scholar 

  55. Wozniak, P., Jaworski, T., Fiderek, P., Kucharski, J., Romanowski, A.: clinical activity and schedule management with a fuzzy social preference system. In: Nguyen, N.T., Trawiński, B., Katarzyniak, R., Jo, G.-S. (eds.) Advanced Methods for Computational Collective Intelligence, pp. 345–354. Springer, Berlin, Heidelberg (2013)

    Chapter  Google Scholar 

  56. Ye, F.: An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection. Expert Syst. Appl. 37, 7050–7055 (2010). doi:10.1016/j.eswa.2010.03.013

    Article  Google Scholar 

  57. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965). doi:10.1016/S0019-9958(65)90241-X

    Article  MathSciNet  MATH  Google Scholar 

  58. Zhang, H., Yu, L.: MADM method based on cross-entropy and extended TOPSIS with interval-valued intuitionistic fuzzy sets. Knowl. Based Syst. 30, 115–120 (2012). doi:10.1016/j.knosys.2012.01.003

    Article  Google Scholar 

  59. Liwu, Z.H.U., Shaowen, J.B.L.I., Juanjuan, K.O.N.G.: Fuzzy decision system for ecological distribution of citrus in north-cultivated-marginal area. Chin. J. Appl, Ecol (2003). 502

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, 34367, Macka, Istanbul, Turkey

    Beyzanur Çayır Ervural, Bilal Ervural & Cengiz Kahraman

Authors
  1. Beyzanur Çayır Ervural
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bilal Ervural
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cengiz Kahraman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cengiz Kahraman .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Uzay Kaymak

  3. Department of Computer Engineering, Middle East Technical University (M, Ankara, Turkey

    Adnan Yazici

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ervural, B.Ç., Ervural, B., Kahraman, C. (2016). Fuzzy Sets in the Evaluation of Socio-Ecological Systems: An Interval-Valued Intuitionistic Fuzzy Multi-criteria Approach. In: Kahraman, C., Kaymak, U., Yazici, A. (eds) Fuzzy Logic in Its 50th Year. Studies in Fuzziness and Soft Computing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-319-31093-0_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31093-0_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31091-6

  • Online ISBN: 978-3-319-31093-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation