Research on the enterprise management innovation ability assessment under low carbon economy circumstances with hesitant fuzzy uncertain linguistic information
Affiliations:
School of Management, Northwestern Polytechnical University, Xi-An, China
Correspondence:
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Corresponding author. Gang Sun, School of Management, Northwestern Polytechnical University, Xi-An 710072, China. Tel./Fax: +86 13816116827; E-mail: zxf7419@yeah.net.
Abstract: With the advent of the era of low-carbon economy, China enterprises urgently need for innovation in enterprises management if they want to occupy a place in the fierce market competition environment in the era of low-carbon economy, which puts forward the new requirements for energy conservation and emissions reduction to enterprises. To enterprises, promoting the management innovation under low carbon economy circumstances has the very vital significance, which can enhance the management ability and management level, and always possess a leading position in the market competition. In this paper, inspired by the method of traditional I-CG operator, we have proposed the induced hesitant fuzzy uncertain linguistic correlated geometric (IHFULCG) operator. Next, we exploited the IHFULCG operator to design some approaches to tackle the hesitant fuzzy uncertain linguistic multiple attribute decision making issues for evaluating the enterprise management innovation ability under low carbon economy circumstances. In the end, an example to estimate the enterprise management innovation ability under low carbon economy circumstances is given.
