Synergistic Effect Evaluation of Main and Auxiliary Industry of Power Grid Based on the Information Fusion Technology from the Perspective of Sustainable Development of Enterprises

Xiaomin Xu, Qiong Wang, Dongxiao Niu, Lihui Zhang
2018 Sustainability  
With the development of the diversified economic union, the power grid enterprises' auxiliary industries are continuing to grow and develop faster. However, in the process of development, power grid enterprises are still faced with the problem of low efficiency of the management of main and auxiliary and resource allocation and utilization. Thus, the synergistic development evaluation for power grid enterprises' main and auxiliary industries has a strong practical significance. It can help the
more » ... e. It can help the managers to find the short board of each industry and search for the exploration direction for improvement to promote the sustainable development of the main and auxiliary industries comprehensively. It can also provide the reference for improving the management level of power grid enterprises. Information fusion technology, as a process of information processing for decision making, can make use of multi-source information synergistically to get a more objective and more essential understanding of the same thing or the same goal. It has been applied to many fields in a mature way. Based on the characteristics of each industry, this paper constructs a synergistic effect evaluation index system of the main and auxiliary industries from the aspects of management foundation, resource integration, operational efficiency and effectiveness. The variable precision fuzzy rough set (VPFRS) is introduced to screen the index system, eliminate redundant indexes, retain key indexes and improve the efficiency and accuracy of evaluation effectively. Meanwhile, based on the characteristic of dealing with the imprecise problem of the vague set, this paper establishes the evaluation model based on information fusion technology of the variable precision fuzzy rough set and vague set (VPFRS-Vague). In order to verify the validity of the model, five typical companies belonging to power grid enterprises are selected as examples for analysis to prove the validity and applicability of the evaluation method. Sustainability 2018, 10, 457 2 of 18 energy state-owned enterprise, has the characteristics of a large scale and diversified operation. It has made great contributions to the adjustment of industrial structure and the promotion of economic benefits and plays an important role in the process of industrial internationalization [6, 7] . The coordinated and orderly development of power grid enterprise's main and auxiliary industries is conducive to exerting the scale benefit and the overall benefit of enterprise group and promoting the sustainable development of the main and auxiliary industries. The power grid enterprise's main and auxiliary industries cover scientific research, electrical equipment manufacturing, logistics and many other fields. With the development of auxiliary units and continuous improvement of group management systems, the power enterprise's growth and development is facing new difficulties and challenges. Finding the main obstacle factors for synergistic development and putting forward the solving measures are conducive for the auxiliary units to better integrate into the group management system and improve the level of collaborative development [8, 9] . Strengthening the synergistic development level of main and auxiliary industries is an important way to improve the competitiveness and sustainable development capacity of China's power grid enterprise. However, the power grid enterprise is often lacking understanding and research on enterprise synergistic development theory and has not yet established effective evaluation mechanisms for the synergistic development. It has influenced the operation efficiency to a certain extent and is not conducive for the rapid, steady and sustainable development of the power grid enterprise [10] . Recently, domestic and foreign scholars have done some research on evaluation for enterprise collaborative effects. Studies [11, 12] construct synergistic effect evaluation index system from strategy, culture, human resource, supply chain and finance and use Analytic Hierarchy Process (AHP) to evaluate the synergistic effect. Literature [13] makes a comprehensive investigation of enterprise groups from five aspects of operating synergy, management synergy, intangible assets synergy, financial synergy and human resource synergy and determines the interval index value subjectively to build synergetic effect comprehensive evaluation model. Literature [14] uses the grey correlation degree to evaluate the synergistic effect of enterprises. However, because of numerous indexes, evaluation results of discrimination are not strong. Literature [15] uses fuzzy comprehensive evaluation for the synergistic effect on strategic alliance, but it neglects a part of fuzzy information. The existing research results do not aim at the evaluation of the synergistic effect for the power grid enterprise, which lacks pertinence. The numerous evaluation indexes have the defect of overlapping, redundant information and inferior independence, which cannot reflect the synergic effect. In addition, the dominant evaluation model is focused on expert scoring and fuzzy theory methods to construct evaluation model. However, the expert scoring method often leads to poor adaptability and generalization. Additionally, with the fuzzy theory, it is easy to lose the fuzzy information in the process of quantification index. It may cause distortion of the evaluation result and lack science and innovation. Information fusion technology was formed with the development of radar information processing and command automation system and it was first reflected in the sonar signal understanding system developed by the US Department of Defense in 1973. It is a comprehensive information processing method and technology for synergistically making use of multi-source information to get a more objective and essential understanding of the same thing or goal, which is a decision-making process in itself [16] . At present, information fusion technology has a mature application in the military, medical image processing, system simulation and other fields [17] [18] [19] [20] [21] . As a representative of non-probabilistic information fusion, rough sets [22] [23] [24] [25] and vague sets [26] [27] [28] [29] have been widely used in the prediction, evaluation and other fields. The main idea of the rough set is to deduce the decision rules by knowledge reduction under the premise of keeping the classification ability unchanged. It is a mathematical tool for dealing with fuzziness and uncertain data [25] . Literature [30] identifies and detects an anomaly point using the rough set theory. Literature [31] uses the rough set for data clustering and computes complexity and clustering purity to obtain the high purity of final classification results. Literature [24, 25] combine
doi:10.3390/su10020457 fatcat:qmgvdr4hiff6dozzpmzlwgol34