.png){kind=icon}
返回
Intuitionistic Fuzzy Sets and Dynamic Programming for Multi-objective Non-linear Programming Problems
.png){kind=icon}
PRE
AI
DOI：10.1007/s40815-020-00973-z.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The practical applications of engineering designs are often concerned by the presence of interrelated decisions. Naturally, these decisions are induced by solving many conflicting and incommensurable objectives. To deal with the interlinked decisions as well as the paradox natures among objectives, this paper presents an integrated approach based on dynamic programming approach (DPA) and intuitionistic fuzzy set (IFS) denoted as DPA-IFS for solving multi-objective optimization problem (MOOP). In DPA-IFS, the principle of DPA aims to generate an efficient solution of MOOP. In contrast, IFS aims to handle conflicting natures among the objective functions by means of the satisfaction (maximization the degree of membership) and dissatisfaction (minimization the degree of non-membership) concepts. The illustration is investigated by numerical illustrations taken from the literature. Furthermore, a new closeness strategy-based distance function is introduced to measure the worth of a satisfactory solution. The proposed methodology is validated on the IEEE 30-bus with six generators as a real test paradigm in the electrical power system. The results obtained by the DPA-IFS show the superior results than those obtained by different approaches.
Keyword:
Intuitionistic fuzzy set
Multi-objective
Dynamic programming
Membership
Fuzzy set
Environmental
Economic Dispatch problem
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
2.2K
被引数:
4.3K
机构
引用论文
分享收藏A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution一种用于安全排放/经济负荷分配的新型并行飓风优化算法
PREAI
分享收藏Fuzzy Programming Approach for Solving Intuitionistic Fuzzy Linear Fractional Programming Problem求解直觉模糊线性分式规划问题的模糊规划方法
PREAI
分享收藏Modeling and optimization of multi-objective programming problems in intuitionistic fuzzy environment:Optimistic, pessimistic and mixed approaches直觉模糊环境下多目标规划问题的建模与优化: 乐观、悲观和混合方法
PREAI
分享收藏An intuitionistic fuzzy goal programming approach for finding pareto-optimal solutions to multi-objective programming problems寻找多目标规划问题帕累托最优解的直觉模糊目标规划方法
PREAI
分享收藏An approach for optimizing multi-objective problems using hybrid genetic algorithms一种基于混合遗传算法的多目标优化方法.png)
SOFT COMPUTING
OAAI
SOFT COMPUTINGIF2.5
OAAI分享收藏Intuitionistic fuzzy multi-objective linear programming problem with various membership functions具有不同隶属函数的直觉模糊多目标线性规划问题
PREAI
分享收藏
查看更多内容