Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment
By Zeshui Xu. Information Sciences, 2004
799 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Ecological Modeling, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/7839d6abd3c9a7ebdd0126cccf08870e56f1a521
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Huchang Liao
- Zeshui Xu
- Xiao-Jun Zeng
- Zhiming Zhang
- Francisco Herrera
- Luis Martínez
- Chonghui Guo
- Zhen Zhang
In Ecological Modeling
- Bin Zhu
- Huchang Liao
- Luis Martínez
- Chonghui Guo
- Zhen Zhang
- Francisco Herrera
- Zhiming Zhang
- Xiao-Jun Zeng
In Management Science and Operations Research
- Zeshui Xu
- Huchang Liao
- Xiao-Jun Zeng
- Zhiming Zhang
- Francisco Herrera
- Bin Zhu
- Luis Martínez
- Chonghui Guo
Citations in the corpus
- Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making (2013, background): “In practice, we often encounter situations in which the input arguments cannot be expressed as exact numerical values; instead, they might take the form of interval numbers [60], intuitionistic fuzzy numbers [6,7,15,42,58], interval-valued intuitionistic fuzzy numbers [51], linguistic variables [1,8”
- Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making (2014, background): “[26] introduced the hesitant fuzzy linguistic term set (HFLTS), whose envelope is an uncertain linguistic variable [34].”
- Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making (2012, neutral): “For any two uncertain linguistic variables, ~s1 1⁄4 1⁄2sa1; sb1 and ~s2 1⁄4 1⁄2sa2; sb2 , the operational laws are defined as follows [44,46]: ð1Þ ~s1 ~s2 1⁄4 1⁄2sa1; sb1 1⁄2sa2; sb2 1⁄4 1⁄2sa1þa2; sb1þb2 ð1Þ ð2Þ ~s1 ~s2 1⁄4 1⁄2sa1; sb1 1⁄2sa2; sb2 1⁄4 1⁄2sa1 a2; sb1 b2 ð2Þ ð3Þ ~s1=~s2 1⁄4 1⁄2sa1; s”
- Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations (2014, methodology): “, n} [21], [22], Xu [23] proposed a subscript-symmetric additive linguistic term set as S = {Sα |α = −τ, .”
- Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making (2015, background): “[15] introduced the hesitant fuzzy linguistic term set (HFLTS), whose envelope is an uncertain linguistic variable [48].”
- Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures (2017, background): “which is just an uncertain linguistic variable [43] .”
- Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making (2017, methodology): “Different linguistic computational models have been developed for CW [6], [7], such as models based on fuzzy membership functions [8], symbolic models based on ordinal scales [9], models based on type-2 fuzzy sets [10], the 2-tuple linguistic model [11], [12], the proportional 2-tuple linguistic mod”