Multiple Attribute Decision-Making Based on Three-Parameter Generalized Weighted Heronian Mean

For the aggregation problem of attributes with a correlation relationship, it is often necessary to take factor into account in order make decision results more objective and reasonable. The Heronian mean an operator which reflects interaction between attributes. It great theoretical practical significance study popularize multiple attribute decision-making methods based on operator. In this paper, we first give new three-parameter generalized weighted (TPGWHM), has series excellent properties such as idempotency, monotonicity boundedness. At same time, relationship TPGWHM existing operators given. Then, propose intuitionistic fuzzy (IFTPGWHM) its monotonicity, boundedness limit properties. On basis, method IFTPGWHM are given, corresponding examples given analyzed.