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Robust neutrosophic programming approach for solving intuitionistic fuzzy multiobjective optimization problems
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DOI：10.1007/s40747-021-00299-9.png)
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摘要
En 中文
This study presents the modeling of the multiobjective optimization problem in an intuitionistic fuzzy environment. The uncertain parameters are depicted as intuitionistic fuzzy numbers, and the crisp version is obtained using the ranking function method. Also, we have developed a novel interactive neutrosophic programming approach to solve multiobjective optimization problems. The proposed method involves neutral thoughts while making decisions. Furthermore, various sorts of membership functions are also depicted for the marginal evaluation of each objective simultaneously. The different numerical examples are presented to show the performances of the proposed solution approach. A case study of the cloud computing pricing problem is also addressed to reveal the real-life applications. The practical implication of the current study is also discussed efficiently. Finally, conclusions and future research scope are suggested based on the proposed work.
Keyword:
Intuitionistic fuzzy parameters
Robust neutrosophic programming approach
Multiobjective optimization problem
Cloud computing pricing problem
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4.6
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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
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分享收藏Neutrosophic number linear programming method and its application under neutrosophic number environments.png)
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