Multi-objective Optimization based on Fuzzy If-Then Rules

被引：1
|
作者：
Chakraborty, Debjani [1 ]
Guha, Debashree [2 ]
机构：
[1] IIT Kharagpur, Dept Math, Kharagpur, W Bengal, India
[2] IIT Patna, Dept Math, Patna, Bihar, India
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013) | 2013年
关键词：
fuzzy rule; Linguistic variable; multi-objective optimization; Takagi-Sugeno fuzzy reasoning; Tsukamoto's fuzzy reasoning; LINEAR-PROGRAMMING PROBLEMS; SATISFICING METHOD; SYSTEMS;
D O I：
10.1109/FUZZ-IEEE.2013.6622519
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, a fuzzy multi-objective mathematical programming problem is considered where functional relationship between the decision variables and the objective functions is not completely known to us. It is assumed that the information source from where some knowledge may be obtained about objective functions consists of a block of fuzzy if-then rules. The focus in this work is to solve the multi-objective optimization problem for the above situations. A numerical example is also presented to illustrate the method.
引用
收藏
页数：7
相关论文
共 50 条
  • [1] Optimization under fuzzy if-then rules
    Carlsson, C
    Fullér, R
    [J]. FUZZY SETS AND SYSTEMS, 2001, 119 (01) : 111 - 120
  • [2] Multi-objective evolutionary algorithms based fuzzy optimization
    Sánchez, G
    Jiménez, F
    Gómez-Skarmeta, AF
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 1 - 7
  • [3] A new aspect for the optimization of fuzzy if-then rules
    Moraga, C
    Salas, R
    [J]. 35TH INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC, PROCEEDINGS, 2005, : 160 - 165
  • [4] Extraction and optimization of fuzzy association rules using multi-objective genetic algorithm
    Thilagam, P. Santhi
    Ananthanarayana, V. S.
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2008, 11 (02) : 159 - 168
  • [5] Extraction and optimization of fuzzy association rules using multi-objective genetic algorithm
    P. Santhi Thilagam
    V. S. Ananthanarayana
    [J]. Pattern Analysis and Applications, 2008, 11 : 159 - 168
  • [6] Adaptive multi-objective control strategy based on particle swarm optimization algorithm optimized fuzzy rules
    Lin, Xin-You
    Wang, Zhao-Rui
    [J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2021, 38 (06): : 842 - 850
  • [7] Fuzzy preference-based multi-objective optimization method
    Sivakumar Ramakrishnan
    Yahya Abu Hasan
    [J]. Artificial Intelligence Review, 2013, 39 : 165 - 181
  • [8] Multi-Objective Portfolio Optimization Based on Fuzzy Genetic Algorithm
    Yi, Huilin
    Yang, Jianhui
    [J]. 2013 9TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2013, : 90 - 94
  • [9] Fuzzy preference-based multi-objective optimization method
    Ramakrishnan, Sivakumar
    Abu Hasan, Yahya
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 2013, 39 (02) : 165 - 181
  • [10] Eyelid Detection Method Based on a Fuzzy Multi-Objective Optimization
    Alvarez-Betancourt, Yuniol
    Garcia-Silvente, Miguel
    [J]. COMPUTACION Y SISTEMAS, 2014, 18 (01): : 65 - 78
12345