Inspired by the idea of Bonferroni mean, in this paper we develop an aggregation technique called the interval-valued intuitionistic fuzzy Bonferroni mean for aggregating interval-valued intuitionistic fuzzy information. We study its properties and discuss its special cases. For the situations where the input arguments have different importance, we then define a weighted interval-valued intuitionistic fuzzy Bonferroni mean, based on which we give a procedure for multi-criteria decision making under interval-valued intuitionistic fuzzy environments.
机构:
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
Gao, Jianwei
Liu, Huihui
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机构:
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
North Carolina State Univ, Dept Ind & Syst Engn, Raleigh, NC 27695 USANorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China