A New Definition of Evaluation/Defuzzification of an Interval Type-2 Fuzzy Set

被引：1
|
作者：
Anzilli, Luca [1 ]
Facchinetti, Gisella [1 ]
Pirotti, Tommaso [2 ]
机构：
[1] Univ Salento, Dept Management Econ Math & Stat, Salento, Italy
[2] Univ Modena & Reggio Emilia, Dept Econ Marco Biagi, Modena, Italy
来源：
STRENGTHENING LINKS BETWEEN DATA ANALYSIS AND SOFT COMPUTING | 2015年 / 315卷
关键词：
Fuzzy sets; fuzzy quantities; interval type-2 fuzzy sets; evaluation; QUANTITIES; RANKING; SYSTEMS;
D O I：
10.1007/978-3-319-10765-3_5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we propose a new evaluation/defuzzification formula for an Interval Type-2 Fuzzy Quantity (IT2 FQ), that is an Interval Type-2 Fuzzy Set (IT2 FS) defined by two Type-1 Fuzzy Quantities (T1 FQs) having membership functions that may be neither convex nor normal. We start from a parametric formula to evaluate them and we propose to call the IT2 FQ value their average. To compare the results we obtain changing the parameters, we use the final output of an example of Interval Type-2 Fuzzy Logic System (IT2 FLS).
引用
收藏
页码：37 / 45
页数：9
相关论文
共 50 条
  • [31] Triangular interval type-2 fuzzy soft set and its application
    Lathamaheswari, M.
    Nagarajan, D.
    Kavikumar, J.
    Broumi, Said
    COMPLEX & INTELLIGENT SYSTEMS, 2020, 6 (03) : 531 - 544
  • [32] Augmented interval type-2 fuzzy set methodologies for email granulation
    Tahayori, Hooman
    Visconti, Andrea
    Antoni, Giovanni Degli
    SOFA 2007: 2ND IEEE INTERNATIONAL WORKSHOP ON SOFT COMPUTING APPLICATIONS, PROCEEDINGS, 2007, : 193 - +
  • [33] Triangular interval type-2 fuzzy soft set and its application
    M. Lathamaheswari
    D. Nagarajan
    J. Kavikumar
    Said Broumi
    Complex & Intelligent Systems, 2020, 6 : 531 - 544
  • [34] A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets
    Coupland, Simon
    John, Robert I.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2008, 16 (04) : 929 - 941
  • [35] Improved interval type-2 fuzzy K-means clustering based on adaptive iterative center with new defuzzification method
    Zhang, Xiaoyu
    Zhang, Tengfei
    Zhang, Yudi
    Ma, Fumin
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2023, 160
  • [36] Properties of the centroid of an interval type-2 fuzzy set, including the centroid of a fuzzy granule
    Mendel, JM
    Wu, HW
    FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD, 2005, : 341 - 346
  • [37] An evaluation of ship investment in interval type-2 fuzzy environment
    Akan, Ercan
    Bayar, Sibel
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2022, 73 (08) : 1768 - 1786
  • [38] On the Definition of Type-2 Fuzzy Sets
    Mo, Hong
    Zhou, Min
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 601 - 605
  • [39] An approximation method for Type Reduction of an Interval Type-2 fuzzy set based on α-cuts
    Figueroa Garcia, Juan Carlos
    2012 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2012, : 49 - 54
  • [40] An interval type-2 fuzzy perceptron
    Rhee, FCH
    Hwang, C
    PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 1331 - 1335
12345