Algorithm Research & Explore
|
1454-1459

Research on dynamic trust-aware preferences evolution model

Hai Yan1
Jia Weihua1
Liu Zhizhong2
1. School of Information Engineering, North China University of Water Resources & Electric Power, Zhengzhou 450046, China
2. School of Computer & Control Engineering, Yantai University, Yantai Shandong 264005, China

Abstract

BCM is an important model used to model users' preferences evolution. But the model assumes that an agent will accept all agents' preference which interacting with it and express their preferences honestly. This assumption doesn't accord with the reality and brings obvious deficiency. To solve this problem, this paper proposed a DTPEM. Firstly, DTPEM introduced an operator of acceptable degree of interactional preference, to describe the degrees of the agent's acceptance to the interactional preferences of the interactional objects. Secondly, the model introduced an operator of dynamic trustable degree to describe the honest degrees of the expression of user preferences. Then, it modeled the influences of the preference differences to the dynamic trustable degrees. Compared with other existing mode, the experimental results demonstrate that the DTPEM has great increase in the accuracy of preference evolution.

Foundation Support

国家自然科学基金资助项目(61872126,61772159)
山东省自然科学基金重点项目(ZR2020KF019)
河南省科技攻关项目(182102310946)
河南省教育厅重点研发项目(20A520014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0430
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1454-1459
Serial Number: 1001-3695(2022)05-028-1454-06

Publish History

[2021-12-16] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

海燕, 贾卫华, 刘志中. 动态信任感知的偏好演化模型研究 [J]. 计算机应用研究, 2022, 39 (5): 1454-1459. (Hai Yan, Jia Weihua, Liu Zhizhong. Research on dynamic trust-aware preferences evolution model [J]. Application Research of Computers, 2022, 39 (5): 1454-1459. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)