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Fuzzy Sets in Agriculture

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Fuzzy Logic in Its 50th Year

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

Abstract

Agricultural modeling and management are complex conceptual processes, where a large number of variables are taken into consideration and interact for system analysis and decision making. Most of the processes in the agricultural sector include the uncertainty, ambiguity, incomplete information and human intuition characteristics. These processes are not only constrained by their environment (e.g., market, climate, seasons, consumer choices), but they are also highly influenced by human factors (stakeholders’ perceptions). Fuzzy sets are able to manage and represent uncertainty, assure that the incomplete information is valued and provide solutions to issues which are crucial in agriculture like fertilization, land degradation, soil erosion and climate variability during planting material selection in physiological analysis. Fuzzy sets have gained constantly increasing research interest in the last twenty years and have found great applicability in the agricultural domain, helping farmers to take right decisions for their cultivated.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Technological Educational Institute (TEI) of Central Greece, 3rd Km Old National Road Lamia-Athens, 35100, Lamia, Greece

    Elpiniki I. Papageorgiou

  2. Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Road, 57001, Thessaloniki, Greece

    Konstantinos Kokkinos

  3. Faculty of Business Economics, Hasselt University, Agoralaan—Building D, 3590, Diepenbeek, Belgium

    Elpiniki I. Papageorgiou & Zoumpoulia Dikopoulou

Authors
  1. Elpiniki I. Papageorgiou
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  2. Konstantinos Kokkinos
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  3. Zoumpoulia Dikopoulou
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Correspondence to Elpiniki I. Papageorgiou .

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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

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Papageorgiou, E.I., Kokkinos, K., Dikopoulou, Z. (2016). Fuzzy Sets in Agriculture. 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_10

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  • DOI: https://doi.org/10.1007/978-3-319-31093-0_10

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