title: Hesitant triangular fuzzy information aggregation operators based on Bonferroni means and their application to multiple attribute decision making.
abstract: We investigate the multiple attribute decision-making (MADM) problems with hesitant triangular fuzzy information. Firstly, definition and some operational laws of hesitant triangular fuzzy elements are introduced. Then, we develop some hesitant triangular fuzzy aggregation operators based on Bonferroni means and discuss their basic properties. Some existing operators can be viewed as their special cases. Next, we apply the proposed operators to deal with multiple attribute decision-making problems under hesitant triangular fuzzy environment. Finally, an illustrative example is given to show the developed method and demonstrate its practicality and effectiveness.
authors.affiliation: College of Mathematics and Econometrics, Hunan University Changsha, Hunan 410082, China.
authors.forename: Chunyong
authors.identifier: 0000-0001-9665-2502
authors.initials: C
authors.lastname: Wang
authors.affiliation: College of Mathematics and Econometrics, Hunan University Changsha, Hunan 410082, China.
authors.forename: Qingguo
authors.identifier: 0000-0002-4314-7489
authors.initials: Q
authors.lastname: Li
authors.affiliation: College of Mathematics and Econometrics, Hunan University Changsha, Hunan 410082, China ; College of Mathematics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China.
authors.forename: Xiaoqiang
authors.initials: X
authors.lastname: Zhou
authors.affiliation: College of Science, Central South University of Forestry and Technology, Changsha, Hunan 410004, China.
authors.forename: Tian
authors.initials: T
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003658:Decision Making, Computer-Assisted; D017143:Fuzzy Logic; D008962:Models, Theoretical