Some hesitant fuzzy geometric operators and their application to multiple attribute group decision making

Abstract

Hesitant fuzzy set (HFS), a generalization of fuzzy set (FS), permits the membership degree of an element of a set to be represented as several possible values between 0 and 1. In this paper, motivated by the extension principle of HFs, we export Einstein operations on FSs to HFs, and develop some new aggregation operators, such as the hesitant fuzzy Einstein weighted geometric operator, hesitant fuzzy Einstein ordered weighted geometric operator, and hesitant fuzzy Einstein hybrid weighted geometric operator, for aggregating hesitant fuzzy elements. In addition, we discuss the correlations between the proposed aggregation operators and the existing ones respectively. Finally, we apply the hesitant fuzzy Einstein weighted geometric operator to multiple attribute group decision making with hesitant fuzzy information. Some numerical examples are given to illustrate the proposed aggregation operators. First published online: 09 Jun 2014

Keywords

• hesitant fuzzy set (HFS)
• Einstein t-norm
• hesitant fuzzy Einstein weighted geometric (HFWGε) operator
• hesitant fuzzy Einstein ordered weighted geometric (HFOWGε) operator
• hesitant fuzzy Einstein hybrid weighted geometric (HFHWGε) operator
• multiple attribute group decision making (MAGDM)