The alpha-ordering for a wide class of fuzzy sets of the real line: the particular case of fuzzy numbers

被引:2
作者
Neres, Fernando [1 ]
Santiago, Regivan H. N. [2 ]
de Hierro, Antonio Francisco Roldan Lopez [3 ]
Cruz, Anderson [4 ,5 ]
Takac, Zdenko [6 ]
Fernandez, Javier [7 ]
Bustince, Humberto [7 ]
机构
[1] Univ Fed Rural Semi Arido, Dept Ciencia & Tecnol, BR-59780000 Caraubas, RN, Brazil
[2] Univ Fed Rio Grande do Norte, Dept Informat & Matemat Aplicada, Natal, RN, Brazil
[3] Univ Granada, Dept Stat & Operat Res, Granada, Spain
[4] Univ Fed Rio Grande do Norte, Inst Metropole Digital, Natal, RN, Brazil
[5] Navarra Artificial Intelligence Res Ctr, Navarra, Spain
[6] Slovak Univ Technol, Fac Mat Sci & Technol Trnava, Inst Appl Informat Automat & Mechatron, Trnava, Slovakia
[7] Univ Publ Navarra, Dept Estadist Informat & Matemat, Navarra, Spain
关键词
Weighted fuzzy order; Fuzzy ranking; Fuzzy linear pre-order; Fuzzy local order; Interval cuts; Aggregation function on the real line; AGGREGATION OPERATORS; RANKING; OPERATIONS;
D O I
10.1007/s40314-023-02516-2
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a novel methodology (that we call a-ordering) for ranking two fuzzy quantities is introduced and studied. Although this methodology is applicable to all pairs of fuzzy numbers, it has been designed to be applied to a wide family C of fuzzy sets of the real line. Concretely, this class is characterized by the following properties: normality, bounded support and closed level sets with a finite number of connected components. The proposed methodology depends, in a local way, on a finite number of membership degrees with their respective weights and an aggregation function on the real line. We demonstrate that this procedure establishes a ranking method (i.e. contains a strict order) on C which is total (i.e., it can be applied to all pairs of fuzzy sets on C). Finally, we check that this method extends the linear order of real numbers and, in a sense, the pointwise order for fuzzy sets.
引用
收藏
页数:30
相关论文
共 41 条
  • [1] Ranking of fuzzy numbers by sign distance
    Abbasbandy, S.
    Asady, B.
    [J]. INFORMATION SCIENCES, 2006, 176 (16) : 2405 - 2416
  • [2] A new approach for ranking of trapezoidal fuzzy numbers
    Abbasbandy, S.
    Hajjari, T.
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2009, 57 (03) : 413 - 419
  • [3] The Total Variation of Bounded Variation Functions to Evaluate and Rank Fuzzy Quantities
    Anzilli, Luca
    Facchinetti, Gisella
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2013, 28 (10) : 927 - 956
  • [4] Beliakov G, 2016, STUD FUZZ SOFT COMP, V329, P1, DOI 10.1007/978-3-319-24753-3
  • [5] Fuzzy ordering of fuzzy numbers
    Buckley, JJ
    Eslami, E
    [J]. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2004, 12 (01) : 105 - 114
  • [6] Aggregation of Individual Rankings Through Fusion Functions: Criticism and Optimality Analysis
    Bustince, Humberto
    Bedregal, Benjamin
    Jesus Campion, Maria
    da Silva, Ivanosca
    Fernandez, Javier
    Indurain, Esteban
    Raventos-Pujol, Armajac
    Santiago, Regivan H. N.
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (03) : 638 - 648
  • [7] A new approach for ranking fuzzy numbers by distance method
    Cheng, CH
    [J]. FUZZY SETS AND SYSTEMS, 1998, 95 (03) : 307 - 317
  • [8] Ranking fuzzy numbers with an area between the centroid point and original point
    Chu, TC
    Tsao, CT
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2002, 43 (1-2) : 111 - 117
  • [9] Cubillo S, 2015, P 2015 C INT FUZZY S, DOI [10.2991/ifsa-eusflat-15.2015.102, DOI 10.2991/IFSA-EUSFLAT-15.2015.102]
  • [10] A fuzzy methodology for approaching fuzzy sets of the real line by fuzzy numbers
    de Hierro, Antonio Francisco Roldan Lopez
    Tiscar, Miguel Angel
    Roldan, Concepcion
    Bustince, Humberto
    [J]. FUZZY SETS AND SYSTEMS, 2022, 435 (55-77) : 55 - 77