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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
2990-2995,3019

Multiple attribute decision making method and application based on interval rough numbers

Zhang Wenyu1a,2
Yang Yuan1a
Liu Jia1a
Zhao Songmin1b
1. a. School of Economics & Management, b. School of Modern Post, Xi'an University of Post & Telecommunications, Xi'an 710061, China
2. China Research Institute of Aerospace Systems Science & Engineering, Beijing 100048, China
DOI: 10.19734/j.issn.1001-3695.2019.05.0190

Abstract

In view of the problem that the complexity and fuzziness of a large number of indexes in traditional multiple attribute decision making model lead to inaccurate decision making results, this paper proposed an improved DEMATEL-VIKOR multiple attribute optimization decision making model based on interval rough numbers. Firstly, it improved the traditional DEMATEL and VIKOR method on the basis of interval rough numbers respectively. Secondly, it used a new normalized weighted geometric Bonferroni mean operator to improve the DEMATEL-VIKOR mixed mode and it calculated the feasible compromise solution by analyzing the influencing factors of each criterion according to the quantitative results. Finally, it ranked the alternatives from three angles: sensitivity analysis, theories analysis and method comparison, so as to obtain the optimal alternatives. An example of comprehensive evaluation of urban waterfront landscape shows that the improved algorithm is more feasible and effective in decision making under uncertain and incomplete information environment.

Foundation Support

国家自然科学基金资助项目(U1501253)
西安邮电大学2017年研究生创新基金资助项目(CXJJ2017095)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0190
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Algorithm Research & Explore
Pages: 2990-2995,3019
Serial Number: 1001-3695(2020)10-022-2990-06

Publish History

[2020-10-05] Printed Article

Cite This Article

张文宇, 杨媛, 刘嘉, 等. 基于区间粗糙数的多属性决策方法及应用 [J]. 计算机应用研究, 2020, 37 (10): 2990-2995,3019. (Zhang Wenyu, Yang Yuan, Liu Jia, et al. Multiple attribute decision making method and application based on interval rough numbers [J]. Application Research of Computers, 2020, 37 (10): 2990-2995,3019. )

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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