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Application of fuzzy sets and cognitive maps to incorporate social science scenarios in integrated assessment modelsA case study of urbanization in Ujung Pandang, Indonesia

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Integrated Assessment

Abstract

Decision–support systems in the field of integrated water management could benefit considerably from social science knowledge, as many environmental changes are human-induced. Unfortunately the adequate incorporation of qualitative social science concepts in a quantitative modeling framework is not straightforward. The applicability of fuzzy set theory and fuzzy cognitive maps for the integration of qualitative scenarios in a decision–support system was examined for the urbanization of the coastal city of Ujung Pandang, Indonesia. The results indicate that both techniques are useful tools for the design of integrated models based on a combination of concepts from the natural and social sciences.

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References

  1. J. Andreu, J. Capilla and E. Sanchís, AQUATOOL, a generalized decision-support system for water-resources planning and operational management, Journal of Hydrology 177 (1996) 269–291.

    Article  Google Scholar 

  2. D.L. Osmond, R.W. Gannon, J.A. Gale, D.E. Line, C.B. Knott, K.A. Phillips, M.H. Turner, M.A. Foster and D.E. Lehning, WATERSHEDSS: A decision support system for watershed-scale nonpoint source water quality problems, Journal of the American Water Resources Association 33 (1997) 327–342.

    CAS  Google Scholar 

  3. A. Moxey and B. White, NELUP: some reflections on undertaking and reporting interdisciplinary river catchment modelling, Journal of Environmental Planning and Management 41 (1998) 397–402.

    Article  Google Scholar 

  4. P. Kouwenhoven, EDSS - estuarine decision support system, Hydroinformatics '98, eds.Babovic and Larsen (Balkema, Rotterdam, 1998) pp.301–307.

    Google Scholar 

  5. Development of a Methodology for Sustainable Coastal Zone Management with Application to the Coastal Area of South-West Sulawesi, WOTRO Research Program W.01.60, WOTRO, Netherlands Organization for the Advancement of tropical Research, The Hague, The Netherlands (1994–1999).

  6. I. Uljee, G. Engelen and R. White, RamCo Demo Guide, Workdocument CZM-C 96.08, Coastal Zone Management Centre, National Institute for Coastal and Marine Management, Hague (1996).http:// www.riks.nl/RiksGeo/demos.htm.

    Google Scholar 

  7. Japan International Cooperation Agency (JICA), Master Plan and Feasibility Study on Wastewater and Solid Waste Management for the City of Ujung Pandang in the Republic of Indonesia, Directorate General of human settlements (CIPTA KARYA), Ministry of Public Works (PU), Government of Indonesia, Pacific Consultants International and Yachiyo Engineering Co.Ltd., Tokyo (1995).

  8. H. Armstrong and J. Taylor, Regional Economics and Policy, ed.H. Wheatsheaf (New York, 1993).

  9. D.H. Meadows, D.L. Meadows, J. Randers and W.W. Behrens, The Limits to Growth (Universe Books, New York, 1972).

    Google Scholar 

  10. N. Gilbert and K.G. Troitzsch, Simulation for the Social Scientist (Open University Press, 1999).

  11. C. Jacobsen and R. Bronson, Defining sociological concepts as variables for system dynamics modeling, System Dynamics Review 3 (1987) 1–7.

    Google Scholar 

  12. C. Jacobsen and R. Bronson, Computer simulations and empirical testing of sociological theory, Sociological Methods & Research 23 (1995) 479–506.

    Google Scholar 

  13. L. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans.Systems, Man, Cybernetics, SMC-3 (1973) 28–44.

  14. B. Tessem and P.I. Davidsen, Fuzzy system dynamics: an approach to vague and qualitative variables in simulation, System Dynamics Review 10 (1994) 49–62.

    Google Scholar 

  15. B. Kosko, Fuzzy cognitive maps, International Journal of Man-Machine Studies 24 (1986) 65–75.

    Google Scholar 

  16. B. Kosko, Neural Networks and Fuzzy Systems (Prentice-Hall, Englewood Cliffs, NJ, 1992).

    Google Scholar 

  17. U. von Reibnitz, Scenario Techniques (McGraw-Hill, Hamburg, 1988).

    Google Scholar 

  18. J. van Doorn and F. van Vught, Nederland op Zoek Naar Zijn Toekomst (Het Spectrum, Utrecht, 1981).

    Google Scholar 

  19. H.J. Miser and E.S. Quade, Handbook of Systems Analysis: Overview of Uses, Procedures, and Applications, and Practice (Wiley, Chichester, 1985).

    Google Scholar 

  20. C. Anastasi, Lessons learned from two decades scenario development, Open Meeting of the Human Dimensions of Global Environmental Change Research Community, Laxenburg, Austria, 1997.

  21. South Sulawesi in Figures, South Sulawesi Statistical Office, Ujung Pandang, South Sulawesi (1995).

  22. M.I. Abustam, Population mobility, Development and Social Change, Three Cases of Rice Farming Communities in South Sulawesi (UI Press, Jakarta, 1989).

    Google Scholar 

  23. G.J. Hugo, Urbanization in Indonesia, city and countryside linked, The Urban Transformation of the Developing World, ed.J. Gugler (Oxford University Press, New York, 1996) pp.132–183.

    Google Scholar 

  24. J.R. Harris and M.P. Todaro, Migration, unemployment and development; a two-sector analysis, American Economic Review 60 (1970) 126–142.

    Google Scholar 

  25. M.P. Todaro, Income expectations, rural-urban migration and employment in Africa, International Labour Review 104 (1971) 387–413.

    Google Scholar 

  26. M.P. Todaro, Economics for a Developing World, 2nd ed. (Longman, London, 1982).

    Google Scholar 

  27. T.G. McGee, Rural-urban mobility in South and Southeast Asia: different formulations, different answers, Human Migration Patterns and Politics, eds.McNeill and Adams (University of Indiana Press, Bloomington, 1978) pp.199–224.

    Google Scholar 

  28. T.G. McGee, Labour mobility in fragmented labour markets, rural- urban linkages and regional development in Asia, Rural-Urban Relations and Regional Development, ed.Fu Chen Lo (Nagoya, UNCRD, 1981) pp.245–263.

    Google Scholar 

  29. G.J. Hugo, Circular migration, Bulletin of Indonesian Economic Studies 13 (1977) 57–66.

    CAS  Google Scholar 

  30. G.J. Hugo, Population mobility; types and patterns, The Demographic Dimension in Indonesian Development, eds.Hugo, Hull, Hull and Jones (Oxford University Press, Singapore, 1987) pp.166–207.

    Google Scholar 

  31. H.J. Zimmerman, Fuzzy Set Theory and Its Applications (Kluwer Academic, Dordrecht, 1991).

    Google Scholar 

  32. E.H. Mamdani and S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies 7 (1975) 1–13.

    Article  Google Scholar 

  33. R. Taber, Fuzzy Cognitive Maps Model Social Systems, AI Expert, July 1994, 19–23.

  34. P. Craiger and M.D. Coovert, Modeling dynamic social and psychological processes with fuzzy cognitive maps, in: Proc.IEEE Int.Conf.on Fuzzy Systems (1994) pp.1873–1877.

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de Kok, JL., Titus, M. & Wind, H.G. Application of fuzzy sets and cognitive maps to incorporate social science scenarios in integrated assessment modelsA case study of urbanization in Ujung Pandang, Indonesia. Integrated Assessment 1, 177–188 (2000). https://doi.org/10.1023/A:1019187917141

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