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Algorithm Research & Explore
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2941-2944,2950

Customer requirements clustering based on weighted network

Geng Xiuli
Fan Zhijuan
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

In order to solve the problem of large customer requirements(CR) data and complex requirement correlation in high-end manufacturing industry, this paper proposed a clustering method of CR based on weighted network. This method regarded CR as the node of weighted network, regarded the correlation between CR as the edge of the weighted network, constructed the weighted network of CR, and clustered CR on the basis of weighted network with clustering algorithm, thus classified the disordered CR according to the degree of correlation. Considering the subjectivity and fuzziness of the relationship between requirements, this paper used a triangular fuzzy number to quantify the edge weights of the weighted network. Finally, this paper verified the effectiveness of the proposed method by taking the customer's requirement for tower cranes as an example.

Foundation Support

国家自然科学基金资助项目(71301104)
国家教育部人文社会科学研究规划基金资助项目(19YJA630021)
高等学校博士学科点专项科研基金资助项目(20133120120002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0209
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Algorithm Research & Explore
Pages: 2941-2944,2950
Serial Number: 1001-3695(2020)10-012-2941-04

Publish History

[2020-10-05] Printed Article

Cite This Article

耿秀丽, 樊志娟. 基于加权网络的客户需求聚类方法 [J]. 计算机应用研究, 2020, 37 (10): 2941-2944,2950. (Geng Xiuli, Fan Zhijuan. Customer requirements clustering based on weighted network [J]. Application Research of Computers, 2020, 37 (10): 2941-2944,2950. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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