The 2-tuple linguistic model. Computing with words in decision making. This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results. The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model. Professionals and researchers working in the field of classification or fuzzy sets and systems will find the book a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.

References in zbMATH (referenced in 63 articles )

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  1. Chen, Shuwei; Liu, Jun; Xu, Yang: A logical reasoning based decision making method for handling qualitative knowledge (2021)
  2. Beg, Ismat; Jamil, Raja Noshad; Rashid, Tabasam: Diminishing Choquet hesitant 2-tuple linguistic aggregation operator for multiple attributes group decision making (2019)
  3. Lin, Yang; Wang, Ying-Ming; Chin, Kwai-Sang: An enhanced approach for two-sided matching with 2-tuple linguistic multi-attribute preference (2019)
  4. Liu, Xia; Xu, Yejun; Montes, Rosana; Herrera, Francisco: Social network group decision making: managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism (2019)
  5. Zhang, Xue-yang; Zhang, Hong-yu; Wang, Jian-qiang: Discussing incomplete 2-tuple fuzzy linguistic preference relations in multi-granular linguistic MCGDM with unknown weight information (2019)
  6. Li, Cong-Cong; Rodríguez, Rosa M.; Martínez, Luis; Dong, Yucheng; Herrera, Francisco: Consistency of hesitant fuzzy linguistic preference relations: an interval consistency index (2018)
  7. Liu, Peide; Chen, Shyi-Ming: Multiattribute group decision making based on intuitionistic 2-tuple linguistic information (2018)
  8. Qi, Xiaowen; Zhang, Junling; Liang, Changyong: Multiple attributes group decision-making approaches based on interval-valued dual hesitant fuzzy unbalanced linguistic set and their applications (2018)
  9. Rodríguez, Rosa M.; Xu, Yejun; Martínez, Luis; Herrera, Francisco: Exploring consistency for hesitant preference relations in decision making: discussing concepts, meaning and taxonomy (2018)
  10. Wang, Jing; Wang, Jian-qiang; Tian, Zhang-peng; Zhao, Dong-yan: A multihesitant fuzzy linguistic multicriteria decision-making approach for logistics outsourcing with incomplete weight information (2018)
  11. Wang, Lidong; Wang, Yanjun; Liu, Xiaodong: Prioritized aggregation operators and correlated aggregation operators for hesitant 2-tuple linguistic variables (2018)
  12. Wang, Yanjun; Wang, Lidong; Wang, Huijuan; Feng, Xinghua: Hesitant picture 2-tuple linguistic aggregation operators based on Archimedean t-norm and t-conorm and their use in decision-making (2018)
  13. Wei, Guiwu; Alsaadi, Fuad E.; Hayat, Tasawar; Alsaedi, Ahmed: Picture 2-tuple linguistic aggregation operators in multiple attribute decision making (2018)
  14. Zhang, Junling; Qi, Xiaowen; Liang, Changyong: Tackling complexity in Green contractor selection for mega infrastructure projects: a hesitant fuzzy linguistic MADM approach with considering group attitudinal character and attributes’ interdependency (2018)
  15. Zhao, Meng; Liu, Ting; Su, Jia; Liu, Meng-Ying: A method adjusting consistency and consensus for group decision-making problems with hesitant fuzzy linguistic preference relations based on discrete fuzzy numbers (2018)
  16. Chen, Zhen-Song; Chin, Kwai-Sang; Mu, Neng-Ye; Xiong, Sheng-Hua; Chang, Jian-Peng; Yang, Yi: Generating HFLTS possibility distribution with an embedded assessing attitude (2017)
  17. Guo, Wen-Tao; Huynh, Van-Nam; Sriboonchitta, Songsak: A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty (2017)
  18. Wang, Liang; Labella, Álvaro; Rodríguez, Rosa M.; Wang, Ying-Ming; Martínez, Luis: Managing non-homogeneous information and experts’ psychological behavior in group emergency decision making (2017)
  19. Beg, Ismat; Rashid, Tabasam: Intuitionistic fuzzy similarity measure: theory and applications (2016)
  20. Dong, Yucheng; Li, Cong-Cong; Herrera, Francisco: Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information (2016)

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