scholarly journals Model and algorithm of innovation performance evaluation for coordination of supply and demand based on wireless sensor network

Author(s):  
Ye Zhao ◽  
Beiwei Li

AbstractIn recent years, with the continuous development and progress of wireless communication and sensors, people's production and life have also undergone tremendous changes. This article aims to apply wireless sensor networks to the construction of a supply–demand coordination innovation performance evaluation model, in order to improve its influence and application scope in real life. This paper deeply researches the architecture and node organization structure of wireless sensor network, and strengthens its theoretical foundation in the application of performance evaluation model. This paper designs performance evaluation indicators and compares performance evaluation methods at home and abroad based on the evaluation indicators, compares and analyzes the factor analysis method, fuzzy comprehensive evaluation method, comprehensive index evaluation method, etc., draws the advantages and disadvantages of each method, and uses them reasonably. The performance evaluation model constructed in this paper adopts the production function method and the analytic hierarchy process. According to the principles of scientificity, feasibility, and economy, the performance indicators for evaluating the balance of supply and demand are screened out, and score evaluation and comparison of each indicator are carried out. Finally, this paper analyzes the corporate performance evaluation index composition, model regression, sensor performance and performance evaluation scores, etc., and has a comprehensive application analysis of the model constructed in this paper. As can be seen from the overall score we selected five companies, enterprises composite score is 83.574, ranking first, followed by a score of 78.421.

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiekun Song ◽  
Yemeng Zhang ◽  
Zhihao Zhao ◽  
Rui Chen

Many application fields initiate using wireless sensor network (WSN), and the evaluation for its performance becomes an important topic, which can help the decision-maker to find the deficiency of the current WSN or seek the best WSN. There exist mixed multiple attributes in the WSN performance evaluation process, for example, some evaluation indicators can be expressed as interval numbers, while others can be expressed as linguistic variables, so it is necessary to explore the evaluation model based on mixed multiattribute decision-making (MADM). Considering the specific evaluation purpose and requirements for different enterprises, this paper puts forward an indicator selection method and a subjective weighting method based on the rough set theory. After that, based on the transformation of mixed attributes into the unified intuitionistic fuzzy numbers (IFNs), an objective weighting method based on intuitionistic fuzzy entropy is proposed. Meanwhile, the combined weights of indicators are obtained by synthesizing the subjective and objective weights. Subsequently, in order to evaluate WSN performance objectively, an integrated comprehensive evaluation framework is proposed, which includes single evaluation, compatibility test, combination evaluation, and consistency test. The paper gives specific models and calculation steps in detail. Finally, it provides a case study to explain the application of the proposed indicator selection method and the evaluation models, which provide new ideas and references for WSN performance evaluation.


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