Title: Multi-objective fuzzy optimisation of knowledge transfer organisations in the big data environment

Authors: Chuanrong Wu; Feng Li

Addresses: School of Economy and Management, Changsha University of Science and Technology, No. 960 Wanjiali South Road, Changsha, Hunan, 410114, China ' School of Computer and Communication Engineering, Changsha University of Science and Technology, No. 960 Wanjiali South Road, Changsha, Hunan, 410114, China

Abstract: With the advent of the big data era, the information from big data has become a type of important knowledge that enterprises need for innovation. The knowledge transfer mode and the influence factors of big data knowledge providers are different from those of traditional knowledge providers. Based on an analysis of organisational composition and characteristics of knowledge transfer in the big data environment, the influence factors and evaluation index systems of big data knowledge providers are established. A multi-objective fuzzy optimisation model is constructed to derive satisfactory knowledge providers by finding optimal sequences. Meanwhile, this model can provide a cooperative decision-making method for knowledge transfer organisations to enhance the efficiency of knowledge transfer in the big data environment.

Keywords: big data; knowledge transfer; multi-objective optimisation; decision making method; organisation.

DOI: 10.1504/IJES.2019.100858

International Journal of Embedded Systems, 2019 Vol.11 No.4, pp.419 - 426

Received: 26 Jul 2016
Accepted: 18 Jan 2017

Published online: 25 Jun 2019 *

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