Model for evaluating the security of wireless sensor network with fuzzy number intuitionistic fuzzy information

被引:3
作者
Li, Feng [1 ]
机构
[1] Guangdong Commun Polytech, Coll Informat, Guangzhou 510630, Guangdong, Peoples R China
关键词
Multiple attribute decision making (MADM); fuzzy number intuitionistic fuzzy sets (FNIFSs); fuzzy number intuitionistic fuzzy GMSM (FNIFGMSM) equation; fuzzy number intuitionistic fuzzy weighted GMSM (FNIFWGMSM) equation; Wireless Sensor Network (WSN); GROUP DECISION-MAKING; LINGUISTIC INFORMATION; AGGREGATION OPERATORS; PREFERENCE; SELECTION; SETS; INDUSTRY;
D O I
10.3233/JIFS-211731
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many experts and scholars focus on the Maclaurin symmetric mean (MSM) equation, which can reflect the interrelationship among the multi-input arguments. It has been generalized to different fuzzy environments and put into use in various actual decision problems. The fuzzy data intuitionistic fuzzy numbers (FNIFNs) could well depict the uncertainties and fuzziness during the security evaluation of Wireless Sensor Network (WSN). And the WSN security evaluation is frequently viewed as the multiple attribute decision-making (MADM) issue. In this paper, we expand the generalized Maclaurin symmetric mean (GMSM) equation with FNIFNs to propose the fuzzy number intuitionistic fuzzy generalized MSM (FNIFGMSM) equation and fuzzy number intuitionistic fuzzy weighted generalized MSM (FNIFWGMSM) equation in this study. A few MADM tools are developed with FNIFWGMSM equation. Finally, taking WSN security evaluation as an example, this paper illustrates effectiveness of the depicted approach. Moreover, by comparing and analyzing the existing methods, the effectiveness and superiority of the FNIFWGMSM method are further certified.
引用
收藏
页码:3559 / 3573
页数:15
相关论文
共 50 条
  • [41] Intuitionistic Fuzzy Analytic Network Process
    Liao, Huchang
    Mi, Xiaomei
    Xu, Zeshui
    Xu, Jiuping
    Herrera, Francisco
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (05) : 2578 - 2590
  • [42] General fuzzy number intuitionistic fuzzy arithmetic aggregation operators based on fuzzy structured element
    Wang, Xin-Fan
    Wang, Jian-Qiang
    Yang, Wu-E
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 2640 - 2645
  • [43] An intuitionistic fuzzy OWA-TOPSIS method for collaborative network formation considering matching characteristics
    Wang, T.
    Liu, J.
    Li, J.
    Xue, Y.
    Dai, H.
    SCIENTIA IRANICA, 2018, 25 (03) : 1671 - 1687
  • [44] Model for Evaluating the Router Security of Wireless Sensor Network with Interval Grey Linguistic Variables
    Gao, Jing
    Wang, Jinkuan
    Wang, Bin
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2012, 15 (11B): : 5003 - 5008
  • [45] Prioritization of Information Security Controls through Fuzzy AHP for Cloud Computing Networks and Wireless Sensor Networks
    Tariq, Muhammad Imran
    Ahmed, Shakeel
    Memon, Nisar Ahmed
    Tayyaba, Shahzadi
    Ashraf, Muhammad Waseem
    Nazir, Mohsin
    Hussain, Akhtar
    Balas, Valentina Emilia
    Balas, Marius M.
    SENSORS, 2020, 20 (05)
  • [46] Model for Archives Management with Interval-valued Intuitionistic Fuzzy Information
    Wang Xiaorong
    Zhou Hongliang
    Wei Guiwu
    EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8, 2010, : 4597 - +
  • [47] The optimization ordering model for intuitionistic fuzzy preference relations with utility functions
    Gong, Zaiwu
    Zhang, Ning
    Chiclana, Francisco
    KNOWLEDGE-BASED SYSTEMS, 2018, 162 : 174 - 184
  • [48] Fuzzy-based cluster routing in wireless sensor network
    AliReza Naderloo
    Seyed Ali Fatemi Aghda
    Mahdi Mirfakhraei
    Soft Computing, 2023, 27 : 6151 - 6158
  • [49] Choquet integrals of weighted intuitionistic fuzzy information
    Xu, Zeshui
    INFORMATION SCIENCES, 2010, 180 (05) : 726 - 736
  • [50] An Orthogonal Algorithm for Clustering Intuitionistic Fuzzy Information
    Xu, Zeshui
    Tang, Jian
    Liu, Shousheng
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2011, 14 (01): : 65 - 78