PROJECT TITLE :

Hesitant Fuzzy Power Bonferroni Means and Their Application to Multiple Attribute Decision Making

ABSTRACT:

As a helpful generalization of fuzzy sets, the hesitant fuzzy set is intended for situations in that it is tough to determine the membership of an component to a set as a result of of ambiguity between some completely different values. In this paper, we have a tendency to outline the ith-order polymerization degree function and propose a replacement ranking methodology to further compare different hesitant fuzzy sets. In order to get much more info in the method of group decision making, we have a tendency to mix the facility average operator with the Bonferroni mean in hesitant fuzzy environments and develop the hesitant fuzzy power Bonferroni mean and therefore the hesitant fuzzy power geometric Bonferroni mean. We have a tendency to investigate the desirable properties of those new hesitant fuzzy aggregation operators and discuss some special cases. The new aggregation operators are utilised to gift techniques for hesitant fuzzy multiple attribute cluster decision creating. Finally, a numerical example is provided to illustrate the effectiveness of the developed techniques.