OWA operator of linguistic label vague set and its application

This paper forwards an ordered weighted average (OWA) operator of linguistic label vague (LLV) set. The OWA operator evaluates the degrees to which the object described by linguistic label vague set satisfies, docs not satisfy and does not know whether it satisfies or not most individuals of universe. Secondly, it converts the vague value expressed by triangular fuzzy numbers (TFNs) into the ordinary vague value. Thirdly, it uses the score function of LLV set to measure the suitable degree of the object described by LLV set, and takes the score as an index for sorting. Lastly, it applies the OWA operator of LLV to our simulation example of decision making. The result shows the efficiency of OWA operator of LLV set.