Newly defined fuzzy Misbalance Prodeg Index with application in multi-criteria decision-making

被引:5
|
作者
Liaqat, Shama [1 ]
Mufti, Zeeshan Saleem [1 ]
Shang, Yilun [2 ]
机构
[1] Univ Lahore, Dept Math & Stat, Lahore Campus, Lahore, Pakistan
[2] Univ Northumbria, Dept Comp & Informat Sci, Newcastle Upon Tyne, England
来源
AIMS MATHEMATICS | 2024年 / 9卷 / 08期
关键词
Misbalance Prodeg Index; graph; fuzzy graph; multi -criteria decision -making; TOPOLOGICAL INDEXES; WIENER INDEX; GRAPH;
D O I
10.3934/math.2024984
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In crisp graph theory, there are numerous topological indices accessible, including the Misbalance Prodeg Index, which is one of the most well-known degree-based topological indexes. In crisp graphs, both vertices and edges have membership values of 1 or 0, whereas in fuzzy graphs, both vertices and edges have different memberships. This is an entire contrast to the crisp graph. In this paper, we introduce the Fuzzy Misbalance Prodeg Index of a fuzzy graph, which is a generalized form of the Misbalance Prodeg Index of a graph. We find bounds of this index and find bounds of certain classes of graphs such as path graph, cycle graph, complete graph, complete bipartite graph, and star graph. We give an algorithm to find the Fuzzy Misbalance Prodeg Index of a graph for the model of multi-criteria decision-making is established. We present applications from daily life in multi-criteria decision-making. We apply our obtained model of the Fuzzy Misbalance Prodeg Index for the multicriteria decision-making to the choice of the best supplier and we also show the graphical analysis of our index with the other indices that show how our index is better than other existing indices.
引用
收藏
页码:20193 / 20220
页数:28
相关论文
共 50 条
  • [21] Distance Measures of Complex Fermatean Fuzzy Number and Their Application to Multi-criteria Decision-making Problem
    Chinnadurai, V.
    Thayalan, S.
    Bobin, A.
    APPLICATIONS AND APPLIED MATHEMATICS-AN INTERNATIONAL JOURNAL, 2023, 18 (01):
  • [22] FUZZY MULTI-CRITERIA DECISION MAKING ALGORITHMS
    Peneva, Vania
    Popchev, Ivan
    COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES, 2010, 63 (07): : 979 - 992
  • [23] CONSIDERING INTERACTIONS IN MULTI-CRITERIA DECISION-MAKING
    Cancer, Vesna
    PROCEEDINGS OF THE 10TH INTERNATIONAL SYMPOSIUM ON OPERATIONAL RESEARCH SOR 09, 2009, : 151 - 156
  • [24] Trapezoidal fuzzy multi-number preference relations based on architecture multi-criteria decision-making application
    Bakbak, D.
    Ulucay, V.
    Edalatpanah, S. A.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2024, 21 (02): : 51 - 65
  • [25] Application of multi-criteria decision-making approach in healthcare surgical management
    Gardas, Bhaskar B.
    Ghongade, Nilesh P.
    Jagtap, Annasaheb H.
    JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2022, 29 (1-2) : 92 - 109
  • [26] An ORESTE approach for multi-criteria decision-making with probabilistic hesitant fuzzy information
    Li, Jian
    Chen, Qiongxia
    Niu, Li-li
    Wang, Zhong-xing
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2020, 11 (07) : 1591 - 1609
  • [27] Fuzzy multi-criteria decision-making approach to prioritization of space debris for removal
    Bazzocchi, Michael C. F.
    Miguel Sanchez-Lozano, Juan
    Hakima, Houman
    ADVANCES IN SPACE RESEARCH, 2021, 67 (03) : 1155 - 1173
  • [28] An ORESTE approach for multi-criteria decision-making with probabilistic hesitant fuzzy information
    Jian Li
    Qiongxia Chen
    Li-li Niu
    Zhong-xing Wang
    International Journal of Machine Learning and Cybernetics, 2020, 11 : 1591 - 1609
  • [29] A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers
    Li, Huilin
    Yang, Jiaqi
    Xiang, Ziquan
    SUSTAINABILITY, 2022, 14 (20)
  • [30] New Multi-criteria Decision-Making Based on Fuzzy Similarity, Distance and Ranking
    El Alaoui, M.
    Ben-Azza, H.
    Zahi, A.
    PROCEEDINGS OF THE THIRD INTERNATIONAL AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT-AECIA 2016, 2018, 565 : 138 - 148