Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making

By Peide Liu, Fang Jin. Information Sciences, 2012

299 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean (2014, background): “Zadeh [23] firstly proposed the fuzzy set (FS) theory which is a good analysis tool to deal with fuzzy information; then, a lot of research achievements on FS have been made [4, 6, 8, 17].”
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”
Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, background): “Therefore, intuitionistic linguistic sets [54] and their extensions [26,27] have been proposed.”
A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets (2014, unknown): “Therefore, many researchers have developed a variety of aggregation operators with assessment on [0, 1] [12–15, 20–22], proportional assessment on [1/9, 9] [2], and linguistic assessment [16, 17].”