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  • 标题:Design and Implementation of MOLP Problems with Fuzzy Objective Functions Using Approximation and Equivalence Approach
  • 本地全文:下载
  • 作者:Stephen Gbenga Fashoto ; Sulaiman Sani
  • 期刊名称:IAENG International Journal of Computer Science
  • 印刷版ISSN:1819-656X
  • 电子版ISSN:1819-9224
  • 出版年度:2021
  • 卷号:48
  • 期号:2
  • 语种:English
  • 出版社:IAENG - International Association of Engineers
  • 摘要:Of late, pressure and need to manage emergencies in production systems with multiple objective functions are mounting. Information and Communication Technology (ICT) is one system where optimal response is needed for high level management amidst complex conflicting selection criteria. This paper designs an approach for solving this class of complexity in Multi-Objective Linear Programming problems (MOLP) with fuzzy objective functions. We take advantage of the Embedding theorem for fuzzy numbers to measure complex functions with several quantities within a production channel. Using C++ (Netbeans) with MATLAB, some design comparison and analysis with Nearest Interval Approximation (NIA) based defuzzification works are carried out. The gains of the design presented here are demonstrated in some benchmark problems solved for ease of application.
  • 关键词:MOLP;fuzzy numbers;defuzzification;embedding theorem
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