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- Title
Induced hesitant 2-tuple linguistic aggregation operators with application in group decision making.
- Authors
Rashid, Tabasam; Beg, Ismat; Jamil, Raja Noshad
- Abstract
In this article, hesitant 2-tuple linguistic arguments are used to evaluate the group decision making problems which have inter dependent or inter active attributes. Operational laws are developed for hesitant 2-tuple linguistic elements and based on these operational laws hesitant 2-tuple weighted averaging operator and generalized hesitant 2- tuple averaging operator are proposed. Combining Choquet integral with hesitant 2-tuple linguistic information, some new aggregation operators are defined, including the hesitant 2-tuple correlated averaging operator, the hesitant 2-tuple correlated geometric operator and the generalized hesitant 2-tuple correlated averaging operator. These proposed operators successfully manage the correlations among the elements. After investigating the properties of these operators, a multiple attribute decision making method based on these operators, is suggested. Finally, an example is given to illustrate the practicality and feasibility of proposed method.
- Subjects
AGGREGATION operators; GROUP decision making; STATISTICAL decision making; DECISION making
- Publication
Applications & Applied Mathematics, 2018, Vol 13, Issue 2, p1039
- ISSN
1932-9466
- Publication type
Article