Affiliations: School of Economics and Management, Harbin Engineering University, Harbin, Heilongjiang, China
Correspondence:
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Corresponding author. Yun Liu, School of Economics and Management, Harbin Engineering University, Harbin, Heilongjiang 150001, China. Tel./Fax: +86 0451 82519916; E-mail: [email protected].
Abstract: The conversion of the industrial structure influences the conversion of the entire economic structure, which involves all aspects of social life inducing consumption, employment and industry and ultimately affects the economic development as a whole. Conversion capacity of the industrial structure is the force to rationalize and sophisticated the industrial structure, the strength of which is directly related to the rationalization and sophistication of industrial structure, the feasibility of upgrading and even the economic development of the region as a whole. In this paper, we investigate the multiple attribute decision making (MADM) problems with fuzzy linguistic information. Motivated by the ideal of generalized Bonferroni mean, we develop the generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator for aggregating the fuzzy linguistic information. For the situations where the input arguments have different importance, we then define the generalized fuzzy linguistic weighted Bonferroni Mean (GFLWBM) operator, based on which we develop the procedure for multiple attribute decision making under the fuzzy linguistic environments. Finally, a practical example for evaluating the industrial structure transfer capability is proposed to testify the method in this paper.
Keywords: Multiple attribute decision making, fuzzy linguistic variables, generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator, generalized fuzzy linguistic weighted Bonferroni Mean(GFLWBM) operator, industrial structure transfer capability
