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Eliciting Expert Knowledge for Fuzzy Evaluation of Agricultural Production Systems

Author

Listed:
  • Cornelissen, A.M.G.
  • van den Berg, J.H.
  • Koops, W.J.
  • Kaymak, U.

Abstract

Public concern nowadays is an important frame of reference for the development of agricultural production systems. The development of such systems, therefore, involves both society level and production system level. Following Zadeh's principle of incompatibility, information obtained at production system level is interpreted at society level in linguistic terms. Fuzzy models promise to be a valuable tool as they link measurable information to linguistic interpretation using membership functions. The objective of this paper is to outline a procedure which deals with criticism regarding the inherent subjectivity in the construction of membership functions when using expert knowledge. The procedure guarantees the selection of appropriate expert knowledge, and provides a guideline supporting the selection of methods to elicit expert knowledge and construct membership functions. Also on the basis of the results in an illustrative example, it is concluded that the procedure outlined in this paper suitably deals with criticism regarding membership functions and, therefore, enables a practical implementation of fuzzy evaluation of agricultural production systems. Current research implements the procedure to build a fuzzy model which evaluates egg production systems in relation to public concern about the welfare of laying hens.

Suggested Citation

  • Cornelissen, A.M.G. & van den Berg, J.H. & Koops, W.J. & Kaymak, U., 2002. "Eliciting Expert Knowledge for Fuzzy Evaluation of Agricultural Production Systems," ERIM Report Series Research in Management ERS-2002-108-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:259
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    References listed on IDEAS

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    1. Paul Thompson, 1986. "The social goals of agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 3(4), pages 32-42, September.
    2. Pinstrup-Andersen, Per & Pandya-Lorch, Rajul, 1998. "Food security and sustainable use of natural resources: a 2020 Vision," Ecological Economics, Elsevier, vol. 26(1), pages 1-10, July.
    3. Munda, G. & Nijkamp, P. & Rietveld, P., 1992. "Multicriteria evaluation and fuzzy set theory : applications in planning for sustainability," Serie Research Memoranda 0068, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Bland, W. L., 1999. "Toward integrated assessment in agriculture," Agricultural Systems, Elsevier, vol. 60(3), pages 157-167, June.
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    Cited by:

    1. Berrang-Ford, Lea & Garton, Kelly, 2013. "Expert knowledge sourcing for public health surveillance: National tsetse mapping in Uganda," Social Science & Medicine, Elsevier, vol. 91(C), pages 246-255.
    2. Sauvenier, Xavier & Valckx, Jan & Van Cauwenbergh, Nora & Wauters, Erwin & Bachev, Hrabrin & Biala, K. & Bielders, Charles & Brouckaert, Veronique & Garcia-Cidad, V. & Goyens, S. & Hermy, Martin & Mat, 2005. "Framework for assessing sustainability levels in Belgium agricultural systems - SAFE," MPRA Paper 99616, University Library of Munich, Germany.

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    More about this item

    Keywords

    evaluation; expert knowledge; fuzzy models; knowledge elicitation; subjectivity;
    All these keywords.

    JEL classification:

    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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