Cell formation with fuzzy linguistic inputs and rule-based cell scheduling

被引：0
|
作者：
Tsujimura, Y [1 ]
Murata, T [1 ]
Sugimoto, T [1 ]
机构：
[1] Ashikaga Inst Technol, Dept Ind & Informat Syst Engn, Ashikaga, Japan
来源：
ICCIMA 2001: FOURTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS | 2001年
关键词：
D O I：
10.1109/ICCIMA.2001.970453
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, for cellular manufacturing, we consider a representation method for fuzzy numbers and fuzzy operations in cell formation method in which characteristic fea tit res of each part are given as fuzzy, linguistic values. And then ive propose a rule-based scheduling method that schedules the classified parts in the obtained formulated cell. We use a decision tree to acquire rules among the generated instance schedules. The acquired rules are used for flow-shop scheduling in a cell.
引用
收藏
页码：113 / 117
页数：5
相关论文
共 50 条
  • [1] A rule-based approach for fuzzy overhaul scheduling
    Pan, HQ
    Yeh, CH
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2004, 3214 : 753 - 763
  • [2] A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers
    Trawinski, Krzysztof
    Cordon, Oscar
    Sanchez, Luciano
    Quirin, Arnaud
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2013, 21 (05) : 950 - 965
  • [3] On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems
    Aghaeipoor, Fatemeh
    Javidi, Mohammad Masoud
    [J]. APPLIED SOFT COMPUTING, 2019, 79 : 283 - 299
  • [4] Fuzzy rule-based processes scheduling for FPGA-based system
    Thumthawatworn, T
    Jitwongtrakul, K
    Chiersilp, R
    Santiprabhob, P
    [J]. 2004 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-6, 2004, : 2340 - 2353
  • [5] Dealing with imprecise inputs in a fuzzy rule-based system using an implication-based rule model
    Godo, L
    Sandri, S
    [J]. TECHNOLOGIES FOR CONSTRUCTING INTELLIGENT SYSTEMS 1: TASKS, 2002, 89 : 43 - 56
  • [6] Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
    Gacto, M. J.
    Alcala, R.
    Herrera, F.
    [J]. INFORMATION SCIENCES, 2011, 181 (20) : 4340 - 4360
  • [7] Genetic tuning of fuzzy rule-based systems integrating linguistic hedges
    Casillas, J
    Cordón, O
    Herrera, F
    Del Jesus, MJ
    [J]. JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 1570 - 1574
  • [8] Rule-based modeling with Virtual Cell
    Schaff, James C.
    Vasilescu, Dan
    Moraru, Ion I.
    Loew, Leslie M.
    Blinov, Michael L.
    [J]. BIOINFORMATICS, 2016, 32 (18) : 2880 - 2882
  • [9] Comparing fuzzy rule-based MPPT techniques for fuel cell stack applications
    Luta, Doudou N.
    Raji, Atanda K.
    [J]. 5TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS ENGINEERING (CPESE 2018), 2019, 156 : 177 - 182
  • [10] Adaptive fuzzy rule-based processes scheduling in distributed computing environment
    Sirichuenwichit, J
    Thumthawatworn, T
    Santiprabhob, P
    [J]. 2004 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-6, 2004, : 2249 - 2262
12345