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A Hybrid Bio-inspired ELECTRE Approach for Decision Making in Purchasing Agricultural Equipment

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Hybrid Artificial Intelligent Systems (HAIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9648))

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Abstract

Agricultural management is an interdisciplinary approach. This paper discusses decision making in purchasing agricultural equipment. Methodological hybrid bio-inspired and ELECTRE I method is proposed here and it is shown how such a model can be used for complete ranking model. The proposed hybrid bio-inspired ELECTRE I method is implemented on real-world data set. The experimental results in our research could be well compared with PROMETHEE II method presented in our previously study.

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References

  1. Simić, D., Svirčević, V., Simić, S.: An approach of steel plates fault diagnosis in multiple classes decision making. In: Polycarpou, M., de Carvalho, A.C., Pan, J.-S., Woźniak, M., Quintian, H., Corchado, E. (eds.) HAIS 2014. LNCS, vol. 8480, pp. 86–97. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  2. Gajić, J.: Primena ELECTRE i PROMETHEE metoda u donošenju odluka u poljoprivredi. (ELECTRE and PROMETHEE method application in agricultural decision making). Master thesis, University of Novi Sad, Faculty of Economics (2105)

    Google Scholar 

  3. Tarrant, J.R.: Agricultural Geography (Problems in modern geography). David & Charles, Newton Abbot (1974)

    Google Scholar 

  4. Nasab, M.N., Azizi, M.: Strategy for agricultural development in Zanjan city, Iran: Application of SWOT-AHP method. Annual meeting of the ISAHP (2014). http://www.isahp.org/uploads/p743933.pdf (accessed January 12, 2016)

  5. Raju, K.S., Kumar, D.N.: Ranking irrigation planning alternatives using data envelopment analysis. Water Resour. Manage 20(4), 553–566 (2006)

    Article  Google Scholar 

  6. Srdjević, Z., Blagojević, B., Srdjević, B.: AHP based group decision making in ranking loan applicants for purchasing irrigation equipment: a case study. Bul. J. Agr. Sci. 17(4), 531–543 (2011)

    Google Scholar 

  7. Benayoun, R., Roy, B., Sussman, N.: Manual de reference du programme electre. Note De Synthese et Formaton 25 (1966)

    Google Scholar 

  8. Sen, P., Yang, J.-B.: Multiple Criteria Decision Support in Engineering Design. Springer, Heidelberg (1998)

    Book  Google Scholar 

  9. Kendall, M.G., Smith, B.B.: On the method of paired comparisons. Biometrika 31(3/4), 324–345 (1940)

    Article  MathSciNet  MATH  Google Scholar 

  10. Tversky, A.: Elimination by aspects: A theory of choice. Psychol. Rev. 79, 281–299 (1972)

    Article  Google Scholar 

  11. Wickelmaier, F., Schmid, C.: A Matlab function to estimate choice model parameters from paired-comparison data. Behav. Res. Methods Instrum. Comput. 36(1), 29–40 (2004)

    Article  Google Scholar 

  12. Svensson, C.-M., Coombes, S., Peirce, J.W.: Using evolutionary algorithms for fitting high-dimensional models to neuronal data. Neuroinformatics 10(2), 199–218 (2012)

    Article  Google Scholar 

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Acknowledgments

The authors acknowledge the support for research project TR 36030, funded by the Ministry of Science and Technological Development of Serbia.

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Correspondence to Dragan Simić .

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Simić, D., Gajić, J., Ilin, V., Svirčević, V., Simić, S. (2016). A Hybrid Bio-inspired ELECTRE Approach for Decision Making in Purchasing Agricultural Equipment. In: Martínez-Álvarez, F., Troncoso, A., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2016. Lecture Notes in Computer Science(), vol 9648. Springer, Cham. https://doi.org/10.1007/978-3-319-32034-2_24

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  • DOI: https://doi.org/10.1007/978-3-319-32034-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32033-5

  • Online ISBN: 978-3-319-32034-2

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