ABSTRACT

Because of complexity of objective things, uncertainty and fuzziness of human mind, the attribute value of the problem is evaluated by the qualitative measure of uncertain linguistic variables, and the problem of linguistic multiple attribute decision making (LMADM) has been widely studied (Höhle & Rodabaugh 2012; Liu et al. 2016; Wang et al. 2016; Wei 2009; Xu 2015; Xu & Liao 2015; Zheng et al. 2015). On the basis of constructing the operation rules for uncertain linguistic variables, a multi-attribute decision-making model with pure linguistic attributes is constructed. Obtain the comprehensive attribute

value of each program, and sort and choose the best decision program, and then select the best traffic pollution emission control program,

A case study is presented comparing the result sequence of five programs in casewith subjective preference and without subjective preference to verify the validity of the model and algorithm.