Abstract
The problem of ranking a set of technology packages that are best suited for growing crops, is developed with a multicriteria group decision model. The group decision model is based on ELECTRE GD, a group decision method for multicriteria ranking problems, strongly based on ELECTRE III, developed to work on those cases where there is great divergence among the decision-makers. We use a practical case study to show our approach, where a group of decision-makers evaluates among the available technology packages to an agricultural company, in order to select the most appropriate alternative. The proposed model generates an agreed collective solution that aids those decision-makers with different interests, to reach (through an iterative process) an agreement on how to rank the technology packages. The proposed procedure is also based on a preference disaggregation approach for reaching agreement between individuals. To support the proposal of a temporary collective solution, individual inter-criteria parameters are inferred concerning individual and global preference for outranking methods in a feedback process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The system SADGAGE is hosted at http://mcdss.udo.mx/sadgage.
References
Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196(1), 1–20 (2009)
Aldana, U., Foltz, J.D., Barham, B.L., Useche, P.: Sequential adoption of package technologies: the dynamics of stacked trait corn adoption. Am. J. Agric. Econ. 93(1), 130–143 (2011). doi:10.1093/ajae/aaq112
Álvarez Carrillo, P.A., Leyva López, J.C., Sánchez Castañeda, MdlD: An empirical study of the consequences of coordination modes on supporting multicriteria group decision aid methodologies. J. Decis. Syst. 24(4), 383–405 (2015). doi:10.1080/12460125.2015.1080583
Alvarez, P.A., Morais, D.C., Leyva, J.C., de Almeida, A.T.: A Multi-objective genetic algorithm for inferring inter-criteria parameters for water supply consensus. In: Gaspar-Cunha, A., et al. (ed.) Evolutionary Multi-Criterion Optimization, vol. Springer-Verlag’s Lecture Notes in Computer Science (LNCS) series, pp. 218–233. EMO 2015, Part II, LNCS 9019, Guimarães, Portugal (2015)
Byerlee, D., de Polanco, E.H.: Farmers’ stepwise adoption of technological packages: evidence from the Mexican Altiplano. Am. J. Agric. Econ. 68(3), 519 (1986). doi:10.2307/1241537
Chiclana, F., Herrera, F., Herrera-Viedma, E.: Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations. Fuzzy Sets Syst. 97(1), 33–48 (1998). doi:10.1016/s0165-0114(96)00339-9
Chiclana, F., Mata, F., Martinez, L., Herrera-Viedma, E., Alonso, S.: Integration of a consistency control module within a consensus model. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(1), 35–53 (2008). doi:10.1142/s0218488508005236
Feder, G., Just, R.E., Zilberman, D.: Adoption of agricultural innovations in developing countries: a survey. Econ. Dev. Cult. Chang. 33(2), 255–298 (1985)
Feder, G., Umali, D.L.: The adoption of agricultural innovations: a review. Technol. Forecast. Soc. Chang. 43(3), 215–239 (1993)
Fodor, J., Roubens, M.: Fuzzy Preference Modeling and Multicriteria Decision Support. Kluwer, Dordrecht (1994)
Grose, T.K.: The next green revolution. ASEE Prism 25(4), 28–31 (2015)
Herrera-Viedma, E., Herrera, F., Chiclana, F.: A consensus model for multiperson decision making with different preference structures. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 32(3), 394–402 (2002). doi:10.1109/tsmca.2002.802821
Jacquet-Lagrèze, E., Siskos, Y.: Méthodes de Décision Multicritère. Editions Hommes et Techniques, Paris (1983)
Jelassi, T., Kersten, G., Zionts, S.: An Introduction to Group Decision and Negotiation Support. 537-568 (1990). doi:10.1007/978-3-642-75935-2_23
Kacprzyk, J., Zadrożny, S.: Supporting consensus reaching processes under fuzzy preferences and a fuzzy majority via linguistic summaries. Preferences and Decisions. Studies in Fuzziness and Soft Computing, pp. 261–279. Springer, Berlin (2010). doi:10.1007/978-3-642-15976-3_15
Khan, M.S., Quaddus, M.: Group decision support using fuzzy cognitive maps for causal reasoning. Group Decis. Negot. 13(5), 463–480 (2004). doi:10.1023/B:GRUP.0000045748.89201.f3
Leathers, H.D., Smale, M.: A Bayesian approach to explaining sequential adoption of components of a technological package. Am. J. Agric. Econ. 73(3), 734 (1991)
Leyva López, J.C., Álvarez Carrillo, P.A., Gastélum Chavira, D.A., Solano Noriega, J.J.: A web-based group decision support system for multicriteria ranking problems. Int. J. Oper. Res. 1–36. doi:10.1007/s12351-016-0234-0
Leyva López, J.C., Alvarez Carrillo, P.A.: Accentuating the rank positions in an agreement index with reference to a consensus order. Int. Trans. Oper. Res. 22(6), 969–995 (2015). doi:10.1111/itor.12146
Leyva, J.C., Aguilera, M.A.: A multiobjective evolutionary algorithm for deriving final ranking from a fuzzy outranking relation. In: Coello Coello, C.A., Zitzler, E., Hernández Aguirre, A. (eds.) Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, Lecture Notes in Computer Science, vol. 3410, pp. 235–249. Springer, México (2005)
Leyva, J.C., Fernández, E.: A new method for group decision support based on ELECTRE III methodology. Eur. J. Oper. Res. 148(1), 14–27 (2003). doi:10.1016/s0377-2217(02)00273-4
Macharis, C., Brans, J.P., Mareschal, B.: The GDSS PROMETHEE procedure - a PROMETHEE-GAIA based procedure for group decision support. J. Decis. Syst. 7, 283–307 (1998)
Mareschal, B., De Smet, Y., Nemery, P.: Rank reversal in the PROMETHEE II method: some new results. 959–963 (2008). doi:10.1109/ieem.2008.4738012
Munier, N.: A Strategy for Using Multicriteria Analysis in Decision-Making. Springer, Netherlands (2011)
Palomares, I., Estrella, F.J., Martínez, L., Herrera, F.: Consensus under a fuzzy context: taxonomy, analysis framework AFRYCA and experimental case of study. Inf. Fusion 20, 252–271 (2014). doi:10.1016/j.inffus.2014.03.002
Parreiras, R.O., Ekel, P.Y., Morais, D.C.: Fuzzy set based consensus schemes for multicriteria group decision making applied to strategic planning. Group Decis. Negot. 21(2), 153–183 (2011). doi:10.1007/s10726-011-9231-0
Rana, A.R., Turoff, M., Hiltz, S.R.: Task and Technology Interaction (TTI): a theory of technological support for group tasks. In: Proceedings of The Thirtieth Annual Hawwaii International Conference on System Sciences, pp. 66–75. HI: IEEE Computer Society Press, Maui (1997)
Roy, B.: Multicriteria Methodology for Decision Aiding. Kluwer Academic Publishers, The Netherlands (1996)
Saaty, T.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Scandizzo, P.L., Savastano, S.: The adoption and diffusion of GM crops in United States: a real option approach. (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
López, J.C., Carrillo, P.A., Valenzuela, O.A. (2018). A Multicriteria Group Decision Model for Ranking Technology Packages in Agriculture. In: Cruz Corona, C. (eds) Soft Computing for Sustainability Science. Studies in Fuzziness and Soft Computing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-319-62359-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-62359-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62358-0
Online ISBN: 978-3-319-62359-7
eBook Packages: EngineeringEngineering (R0)