Multidimensional Type 2 Epistemic Fuzzy Arithmetic Based on the Body Definition of the Type 2 Fuzzy Set

被引:5
|
作者
Piegat, Andrzej [1 ]
Landowski, Marek [2 ]
机构
[1] West Pomeranian Univ Technol, Fac Comp Sci, PL-71210 Szczecin, Poland
[2] Maritime Univ Szczecin, Fac Comp Sci & Telecommun, PL-70500 Szczecin, Poland
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 13期
关键词
fuzzy arithmetic; type 2 fuzzy arithmetic; epistemic fuzzy arithmetic; type 2 fuzzy numbers; fuzzy systems; granular computing; soft computing; artificial intelligence; INTERVAL; OPERATIONS; MODEL;
D O I
10.3390/app11135844
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The article presents a multidimensional type 2 epistemic fuzzy arithmetic (MT2EF-arithmetic) based on the new body definition of fuzzy set type 2 (T2FS), which in the authors' opinion, is more suitable for fuzzy computing than the current versions of fuzzy arithmetic (FA) based on the border definition of T2FS. The proposed MT2EF-arithmetic is designed for epistemic variables and has mathematical properties that allow for obtaining universal algebraic calculation results. MT2EF-arithmetic performs calculations, not only with borders of fuzzy numbers, but also with whole bodies of FNs. Thanks to this, computational tasks are solved in the full space of the problem and not in a limited, low-dimensional space. As a result, MT2EF-arithmetic provides precise solutions to problems, solutions that are neither overestimated, underestimated, nor shifted. The paper contains an example of MT2EF-application to optimal fertilization of beetroot cultivation with nitrogen.
引用
收藏
页数:27
相关论文
共 50 条
  • [21] On Type-2 Fuzzy Sets and Type-2 Fuzzy Systems
    Shvedov A.S.
    Journal of Mathematical Sciences, 2021, 259 (3) : 376 - 384
  • [22] Type-reduction of the discretised interval type-2 fuzzy set
    Greenfield, Sarah
    Chiclana, Francisco
    John, Robert
    2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 2009, : 738 - 743
  • [23] Type-2 Fuzzy Arithmetic using Alpha-planes
    Hamrawi, Hussam
    Coupland, Simon
    PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE, 2009, : 606 - 611
  • [24] A type-2 fuzzy set model for contractor prequalification
    Afshar, Mohammad Reza
    Alipouri, Yagub
    Sebt, Mohammad Hassan
    Chan, Weng Tat
    AUTOMATION IN CONSTRUCTION, 2017, 84 : 356 - 366
  • [25] A THEORY OF APPROXIMATE REASONING WITH TYPE-2 FUZZY SET
    Mandal, Sudin
    Ul Karim, Injamam
    Raha, Swapan
    JOURNAL OF THE INDONESIAN MATHEMATICAL SOCIETY, 2021, 27 (01) : 9 - 28
  • [26] Intuitionistic Type-2 Fuzzy Set and Its Properties
    Dan, Surajit
    Kar, Mohuya B.
    Majumder, Saibal
    Roy, Bikashkoli
    Kar, Samarjit
    Pamucar, Dragan
    SYMMETRY-BASEL, 2019, 11 (06):
  • [27] Aggregating α-planes for Type-2 Fuzzy Set Matching
    Livi, Lorenzo
    Tahayori, Hooman
    Sadeghian, Alireza
    Rizzi, Antonello
    PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS), 2013, : 860 - 865
  • [28] Uncertainty Measurement for the Interval Type-2 Fuzzy Set
    Greenfield, Sarah
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2016, 2016, 9692 : 183 - 194
  • [29] Ensuring the Centroid of an Interval Type-2 Fuzzy Set
    Nie, Maowen
    Tan, Woei Wan
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (04) : 950 - 963
  • [30] Literature review on type-2 fuzzy set theory
    De, Arnab Kumar
    Chakraborty, Debjani
    Biswas, Animesh
    SOFT COMPUTING, 2022, 26 (18) : 9049 - 9068