Interval Consistency Repairing Method for Double Hierarchy Hesitant Fuzzy Linguistic Preference Relation and Application in the Diagnosis of Lung Cancer

References

• Alonso, S., Cabrerizo, F. J., Chiclana, F., Herrera, F., & Herrera-Viedma, E. (2009). Group decision making with incomplete fuzzy linguistic preference relations. International Journal of Intelligent Systems, 24(2), 201–222. https://doi.org/https://doi.org/10.1002/int.20332
   Web of Science ®Google Scholar
• Alonso, S., Chiclana, F., Herrera, F., Herrera-Viedma, E., Alcalá-Fdez, J., & Porcel, C. (2008). A consistency-based procedure to estimate missing pairwise preference values. International Journal of Intelligent Systems, 23(2), 155–175. https://doi.org/https://doi.org/10.1002/int.20262
   Web of Science ®Google Scholar
• Cabrerizo, F. J., Heradio, R., Pérez, I. J., & Herrera-Viedma, E. (2010). A selection process based on additive consistency to deal with incomplete fuzzy linguistic information. Journal of Universal Computer Science, 16, 62–81. https://doi.org/https://doi.org/10.3217/jucs-016-01-0062
   Web of Science ®Google Scholar
• Christian, W. J., Huang, B., Rinehart, J., & Hopenhayn, C. (2011). Exploring geographic variation in lung cancer incidence in Kentucky using a spatial scan statistic: Elevated risk in the Appalachian coal-mining region. Public Health Reports, 126(6), 789–796. https://doi.org/https://doi.org/10.2307/41639436
   PubMed Web of Science ®Google Scholar
• Dong, Y. C., Li, C. C., & Herrera, F. (2015). An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level. Information Sciences, 292(5), 27–38. https://doi.org/https://doi.org/10.1016/j.ins.2014.08.059
   Web of Science ®Google Scholar
• Fu, Z. G., & Liao, H. C. (2019). Unbalanced double hierarchy linguistic term set: The TOPSIS method for multi-expert qualitative decision making involving green mine selection. Information Fusion, 51, 271–286. https://doi.org/https://doi.org/10.1016/j.inffus.2019.04.002
   Web of Science ®Google Scholar
• Goovaerts, P. (2010). Geostatistical analysis of county-level lung cancer mortality rates in the southeastern United States. Geographical Analysis, 42(1), 32–52. https://doi.org/https://doi.org/10.1111/j.1538-4632.2009.00781.x
   PubMed Web of Science ®Google Scholar
• Gou, X. J., Liao, H. C., Wang, X. X., Xu, Z. S., & Herrera, F. (2020a). Consensus based on multiplicative consistent double hierarchy linguistic preferences: Venture capital in real estate market. International Journal of Strategic Property Management, 24(1), 1–23. https://doi.org/https://doi.org/10.3846/ijspm.2019.10431
   Web of Science ®Google Scholar
• Gou, X. J., Liao, H. C., Xu, Z. S., & Herrera, F. (2017). Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Information Fusion, 38, 22–34. https://doi.org/https://doi.org/10.1016/j.inffus.2017.02.008
   Web of Science ®Google Scholar
• Gou, X. J., Liao, H. C., Xu, Z. S., & Herrera, F. (2020b). Consensus model handling minority opinions and non-cooperative behaviors in large-scale group decision-making under double hierarchy linguistic preference relations. IEEE Transactions on Cybernetics, In Press. https://doi.org/https://doi.org/10.1109/TCYB.2020.2985069
   Google Scholar
• Gou, X. J., Liao, H. C., Xu, Z. S., Min, R., & Herrera, F. (2019). Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model. Information Sciences, 489, 93–112. https://doi.org/https://doi.org/10.1016/j.ins.2019.03.037
   Web of Science ®Google Scholar
• Gou, X. J., Xu, Z. S., & Herrera, F. (2018a). Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations. Knowledge-Based Systems, 157, 20–33. 008. https://doi.org/https://doi.org/10.1016/j.knosys.2018.05
   Web of Science ®Google Scholar
• Gou, X. J., Xu, Z. S., Liao, H. C., & Herrera, F. (2018). Multiple criteria decision making based on distance and similarity measures with double hierarchy hesitant fuzzy linguistic term sets. Computers & Industrial Engineering, 126, 516–530. https://doi.org/https://doi.org/10.1016/j.cie.2018.10.020
   Web of Science ®Google Scholar
• Gou, X. J., Xu, Z. S., Wang, X. X., & Liao, H. C. (2020c). Managing consensus reaching process with self-confident double hierarchy linguistic preference relations in group decision making. Fuzzy Optimization and Decision Making, https://doi.org/http://doi.org/10.1007/s10700-020-09331-y.
   Google Scholar
• Gou, X. J., Xu, Z. S., & Zhou, W. (2020d). Managing consensus by multiple stages optimization models with linguistic preference orderings and double hierarchy linguistic preferences. Technological and Economic Development of Economy, 26(3), 642–674. https://doi.org/https://doi.org/10.3846/tede.2020.12013
   Web of Science ®Google Scholar
• Herrera, F., & Martínez, L. (2000). A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Transactions on Fuzzy Systems, 8(6), 746–752. https://doi.org/https://doi.org/10.1109/91.890332
   Web of Science ®Google Scholar
• Hosgood, H. D., III, Farah, C., Black, C. C., Schwenn, M., & Hock, J. M. (2013). Spatial and temporal distributions of lung cancer histopathology in the state of Maine. Lung Cancer (Amsterdam, Netherlands)), 82(1), 55–62. https://doi.org/https://doi.org/10.1016/j.lungcan.2013.06.018
   PubMed Web of Science ®Google Scholar
• Krishankumar, R., Subrajaa, L. S., Ravichandran, K. S., Kar, S., & Saeid, A. B. (2019). A framework for multi-attribute group decision-making using double hierarchy hesitant fuzzy linguistic term set. International Journal of Fuzzy Systems, 21(4), 1130–1143. https://doi.org/https://doi.org/10.1007/s40815-019-00618-w
   Web of Science ®Google Scholar
• Liao, H. C., Xu, Z. S., Herrera-Viedma, E., & Herrera, F. (2018). Hesitant fuzzy linguistic term set and its application in decision making: A state-of-the art survey. International Journal of Fuzzy Systems, 20(7), 2084–2110. https://doi.org/https://doi.org/10.1007/s40815-017-0432-9
   Web of Science ®Google Scholar
• Liao, H. C., Xu, Z. S., & Xia, M. M. (2014). Multiplicative consistency of hesitant fuzzy preference relation and its application in group decision making. International Journal of Information Technology & Decision Making, 13(01), 47–76. https://doi.org/https://doi.org/10.1142/S0219622014500035
   Web of Science ®Google Scholar
• Lin, H. L., Ning, B., & Li, J. (2015). Lung cancer mortality among women in Xuan Wei, China: A comparison of spatial clustering detection methods. Asia-Pacific Journal of Public Health, 27(2), 392–401. https://doi.org/https://doi.org/10.1177/1010539512444778
   Web of Science ®Google Scholar
• Liu, N. N., He, Y., & Xu, Z. S. (2019). Evaluate public-private-partnership’s Advancement using double hierarchy hesitant fuzzy linguistic PROMETHEE with subjective and objective information from stakeholder perspective. Technological and Economic Development of Economy, 25(3), 386–420. https://doi.org/https://doi.org/10.3846/tede.2019.7588
   Web of Science ®Google Scholar
• Lu, Y. C., Hu, X. S., & Zhao, J. K. (2003). The geographic information system of air pollution and the mortality of lung cancer in Juangsu province. Bulletin of Chinese Cancer, 12(7), 374–377. 1004-0242(2003)07-0374-04
   Google Scholar
• Marcus, M. W., Raji, O. Y., & Field, J. K. (2015). Lung cancer screening: identifying the high risk cohort. Journal of Thoracic Disease, 7(Suppl 2), S156–S162. https://doi.org/https://doi.org/10.3978/j.issn.2072-1439.2015.04.19
   PubMed Web of Science ®Google Scholar
• Montserrat-Adell, J., Xu, Z. S., Gou, X. J., & Agell, N. (2019). Free double hierarchy hesitant fuzzy linguistic term sets: An application on raking alternatives in GDM. Information Fusion, 47, 45–59. https://doi.org/https://doi.org/10.1016/j.inffus.2018.07.002
   Web of Science ®Google Scholar
• Pang, Q., Wang, H., & Xu, Z. S. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences, 369, 128–143. https://doi.org/https://doi.org/10.1016/j.ins.2016.06.021
   Web of Science ®Google Scholar
• Rodríguez, R. M., Martínez, L., & Herrera, F. (2012). Hesitant fuzzy linguistic terms sets for decision making. IEEE Transactions on Fuzzy Systems, 20(1), 109–119. https://doi.org/https://doi.org/10.1109/TFUZZ.2011.2170076
   Web of Science ®Google Scholar
• Wang, X. D., Gou, X. J., & Xu, Z. S. (2020). Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment. Applied Soft Computing, 86, 105864. https://doi.org/https://doi.org/10.1016/j.asoc.2019.105864
   Web of Science ®Google Scholar
• Wang, H., Xu, Z. S., Zeng, X. J., & Liao, H. C. (2019). Consistency measures of linguistic preference relations with hedges. IEEE Transactions on Fuzzy Systems, 27(2), 372–386. https://doi.org/https://doi.org/10.1109/TFUZZ.2018.2856107
   Web of Science ®Google Scholar
• Wei, G. W., & Gao, H. (2020). Pythagorean 2-tuple linguistic power aggregation operators in multiple attribute decision making. Economic Research-Ekonomska Istraživanja, 33(1), 904–933. https://doi.org/https://doi.org/10.1080/1331677X.2019.1670712
   Web of Science ®Google Scholar
• Wei, G., Lei, F., Lin, R., Wang, R., Wei, Y., Wu, J., & Wei, C. (2020). Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations. Economic Research-Ekonomska Istraživanja, 33(1), 828–846. https://doi.org/https://doi.org/10.1080/1331677X.2020.1734851
   Web of Science ®Google Scholar
• Wood, M. E., Kelly, K., Mullineaux, L. G., & Bunn, P. A. (2000). The inherited nature of lung cancer: a pilot study. Lung Cancer (Amsterdam, Netherlands), 30(2), 135–144. https://doi.org/https://doi.org/10.1016/S0169-5002(00)00142-2
   PubMed Web of Science ®Google Scholar
• Xu, Z. S., & Wang, H. (2017). On the syntax and semantics of virtual linguistic terms for information fusion in decision making. Information Fusion, 34, 43–48. https://doi.org/https://doi.org/10.1016/j.inffus.2016.06.002
   Web of Science ®Google Scholar
• Zadeh, L. A. (1975). The concept of a linguistic variable and its applications to approximate reasoning-Part I. Information Sciences, 8(3), 199–249. https://doi.org/https://doi.org/10.1016/0020-0255(75)90036-5
   Web of Science ®Google Scholar
• Zadeh, L. A. (2012). Computing with Words: What is computing with words (CWW)?. Berlin Heidelberg: Springer-Verlag. https://doi.org/https://doi.org/10.1007/978-3-642-27473-2.
   Google Scholar
• Zhang, Y. X., Xu, Z. S., Wang, H., & Liao, H. C. (2016). Consistency-based risk assessment with probabilistic linguistic preference relation. Applied Soft Computing, 49, 817–833. https://doi.org/https://doi.org/10.1016/j.asoc.2016.08.045
   Web of Science ®Google Scholar
• Zhu, B., & Xu, Z. S. (2014). Consistency measures for hesitant fuzzy linguistic preference relations. IEEE Transactions on Fuzzy Systems, 22(1), 35–45. https://doi.org/https://doi.org/10.1109/TFUZZ.2013.2245136
   Web of Science ®Google Scholar