Granular Computing: Analysis and Design of Intelligent Systems

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Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, background): “Linguistic variables have been studied in depth and used in many fields [19,33,35,42,50,60,73,78].”
Concept learning via granular computing: A cognitive viewpoint (2014, background): “Information granule, the basic notion in the theory of granular computing which can broadly be viewed as a collection of information granules and the area of intelligent computing revolving around them [26], was introduced into Wille’s concept lattice as an attempt to decrease computation time [43].”
Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making (2014, background): “In many cases, however, uncertainty is produced by the vagueness of meanings whose nature is qualitative rather than quantitative [4] [8] [9] [24].”
A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making (2014, methodology): “This fuzzy representation could be used in granular models [20].”
Probabilistic linguistic term sets in multi-attribute group decision making (2016, methodology): “People usually have to provide their opinions linguistically, due to the nature of qualitative criteria or the high cost of deriving accurate numerical values [21, 39].”