Abstract
Nowadays, real world decision making environments are becoming more heterogeneous and flexible than ever. For this reason, we present in this study an innovative multi-criteria group decision making procedure whose main purpose is to be used in scenarios where the decision context is variable. First, the experts can provide their preferences on different moments. Second, by applying a multi-granular linguistic approach, the experts can express themselves more diversely because they select the linguistic label set that they prefer. Third, criteria, alternatives and experts in the course of the decision process. In addition, the procedure makes use of consensus measures to verify that the experts agree with the decision taken.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alizadeh, R., Soltanisehat, L., Lund, P.D., Zamanisabzi, H.: Improving renewable energy policy planning and decision-making through a hybrid MCDM method. Energy Policy 137 (2020)
Alonso, S., Pérez, I.J., Cabrerizo, F.J., Herrera-Viedma, E.: A linguistic consensus model for web 2.0 communities. Appl. Soft Comput. 13(1), 149–157 (2012)
Baudry, G., Macharis, C., Vallee, T.: Range-based multi-actor multi-criteria analysis: a combined method of multi-actor multi-criteria analysis and Monte Carlo simulation to support participatory decision making under uncertainty. Eur. J. Oper. Res. 264(1), 257–269 (2018)
Cabrerizo, F.J., Al-Hmouz, R., Morfeq, A., Balamash, A.S., Martínez, M., Herrera-Viedma, E.: Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. Soft. Comput. 21(11), 3037–3050 (2017)
Cadavid-Giraldo, N., Velez-Gallego, M.C., Restrepo-Boland, A.: Carbon emissions reduction and financial effects of a cap and tax system on an operating supply chain in the cement sector. J. Cleaner Prod. 275 (2020)
Cambria, E., Schuller, B., Xia, Y., Havasi, C.: New avenues in opinion mining and sentiment analysis. IEEE Intell. Syst. 28(2), 15–21 (2013)
Deveci, M., Cali, U., Kucuksari, S., Erdogan, N.: Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland. Energy 198 (2020)
Dong, Y., Zhao, S., Zhang, H., Chiclana, F., Herrera-Viedma, E.: A self-management mechanism for noncooperative behaviors in large-scale group consensus reaching processes. IEEE Trans. Fuzzy Syst. 26(6), 3276–3288 (2018)
Herrera, F., Herrera-Viedma, E., Chiclana, F.: A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making. Int. J. Intell. Syst. 18(6), 689–707 (2003)
Herrera, F., Martínez, L.: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8(6), 746–752 (2000)
Herrera, F., Alonso, S., Chiclana, F., Herrera-Viedma, E.: Computing with words in decision making: foundations, trends and prospects. Fuzzy Optim. Decis. Making 8(4), 337–364 (2009)
Huffman, K.: Web 2.0: beyond the concept practical ways to implement RSS, podcasts, and wikis. Educ. Libr. 29(1), 12–19 (2017)
Hwang, C.L., Lin, M.J.: Group Decision Making Under Multiple Criteria: Methods and Applications. Springer, Heidelberg (1987). https://doi.org/10.1007/978-3-642-61580-1
Joshi, D.K., Beg, I., Kumar, S.: Hesitant probabilistic fuzzy linguistic sets with applications in multi-criteria group decision making problems. Mathematics 6(4), 47 (2018)
Kacprzyk, J.: Group decision making with a fuzzy linguistic majority. Fuzzy Sets Syst. 18(2), 105–118 (1986)
Liang, R., Wang, J., Li, L.: Multi-criteria group decision-making method based on interdependent inputs of single-valued trapezoidal neutrosophic information. Neural Comput. Appl. 30(1), 241–260 (2018)
Liao, H., Wu, X., Liang, X., Yang, J.B., Xu, D.L., Herrera, F.: A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowl. Based Syst. 153, 65–77 (2018)
Liu, W., Dong, Y., Chiclana, F., Cabrerizo, F.J., Herrera-Viedma, E.: Group decision-making based on heterogeneous preference relations with self-confidence. Fuzzy Optim. Decis. Making 16(4), 429–447 (2017)
Morente-Molinera, J.A., Al-Hmouz, R., Morfeq, A., Balamash, A.S., Herrera-Viedma, E.: A decision support system for decision making in changeable and multi-granular fuzzy linguistic contexts. J. Multiple Valued Logic Soft Comput. 26, 485–514 (2016)
Morente-Molinera, J.A., Cabrerizo, F.J., Mezei, J., Carlsson, C., Herrera-Viedma, E.: A dynamic group decision making process for high number of alternatives using hesitant fuzzy ontologies and sentiment analysis. Knowl. Based Syst. 195 (2020)
Morente-Molinera, J.A., Mezei, J., Carlsson, C., Herrera-Viedma, E.: Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy. IEEE Trans. Fuzzy Syst. 25(5), 1078–1089 (2017)
Morente-Molinera, J.A., Pérez, I.J., Ureña, M.R., Herrera-Viedma, E.: Building and managing fuzzy ontologies with heterogeneous linguistic information. Knowl. Based Syst. 88, 154–164 (2015)
Orlovsky, S.: Decision-making with a fuzzy preference relation. Fuzzy Sets Syst. 1(3), 155–167 (1978)
Pérez, I.J., Cabrerizo, F.J., Alonso, S., Dong, Y., Chiclana, F., Herrera-Viedma, E.: On dynamic consensus processes in group decision making problems. Inf. Sci. 459, 20–35 (2018)
Seiti, H., Hafezalkotob, A., Herrera-Viedma, E.: A novel linguistic approach for multi-granular information fusion and decision-making using risk-based linguistic d numbers. Inf. Sci. 530, 43–65 (2020)
Song, Y., Li, G.: A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection. J. Oper. Res. Soc., 1–15 (2018)
Trillo, J.R., Fernández, A., Herrera, F.: HFER: promoting explainability in fuzzy systems via hierarchical fuzzy exception rules. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–8. IEEE (2020)
Yu, S., Wang, J., Wang, J., Li, L.: A multi-criteria decision-making model for hotel selection with linguistic distribution assessments. Appl. Soft Comput. 67, 741–755 (2018)
Acknowledgments
This research has been funded by the Spanish State Research Agency through the project PID2019-103880RB-I00/AEI/10.13039/501100011033. We would also like to thank the “Juan de la Cierva Incorporación” grant from the Spanish Ministry of Economy and Competitiveness.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Trillo, J.R., Herrera-Viedma, E., Cabrerizo, F.J., Morente-Molinera, J.A. (2021). A Multi-criteria Group Decision Making Procedure Based on a Multi-granular Linguistic Approach for Changeable Scenarios. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12799. Springer, Cham. https://doi.org/10.1007/978-3-030-79463-7_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-79463-7_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79462-0
Online ISBN: 978-3-030-79463-7
eBook Packages: Computer ScienceComputer Science (R0)