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An interactive satisficing approach for solving fuzzy multiobjective Linear optimization problems based on the Attainable Reference Point Method

机译：一种基于可达到的参考点法解决模糊多目标线性优化问题的交互式令人满意方法

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Taghreed Hassan; A. Mousa;
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1. An Interactive Fuzzy Satisficing Method Based on the Fractile Optimization Model Using Possibility and Necessity Measures for a Fuzzy Random Multiobjective Linear Programming Problem [J] . Hideki Katagiri, Masatoshi Sakawa, Kosuke Kato, Electronics and Communications in Japan. Part 3, Fundamental Electronic Science . 2005,第5期

机译：基于分形优化模型的交互式模糊满足方法，基于可能和必要性，用于模糊随机多目标线性规划问题
2. An Interactive Fuzzy Satisficing Method for Multiobjective Linear Programming Problems with Random Fuzzy Variables Using Possibility-based Probability Model [J] . Masatoshi Sakawa, Takeshi Matsui, Hideki Katagiri Computational Research . 2014,第1期

机译：基于可能性模型的随机模糊变量多目标线性规划问题的交互式模糊满足方法
3. An interactive fuzzy satisficing method for general multiobjective 0-1 programming problems through genetic algorithms with double strings based on a reference solution [J] . Masatoshi Sakawa, Kosuke Kato Fuzzy sets and systems . 2002,第3期

机译：基于参考解的双字符串遗传算法求解通用多目标0-1规划问题的交互式模糊满足方法
4. An interactive fuzzy satisficing method through particle swarm optimization for multiobjective nonlinear programming problems [C] . Matsui, T., Sakawa, . 2007

机译：多目标非线性规划问题的粒子群交互式模糊满足方法
5. INTERACTIVE DECISION MAKING FOR MULTIOBJECTIVE LINEAR AIND NONLINEAR PROGRAMMING PROBLEMS WITH FUZZY PARAMETERS [D] . 矢野, 均 1988

机译：带有模糊参数的多目标线性规划非线性规划的交互式决策
6. Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA [O] . Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha -1

机译：多目标动态模糊遗传算法的模糊混合装配线排序与调度优化模型
7. An Interactive Fuzzy Satisficing Method Based on M-α-Pareto Optimality and a Fractile Criterion Optimization Model for a Fuzzy Random Multiobjective Linear Programming Problem [O] . Hideki KATAGIRI, Masatoshi SAKAWA, Kosuke KATO, 2005

机译：一种基于M-α-areto最优性的交互式模糊令人满意和模糊随机多目标线性编程问题的散发性标准优化模型

An interactive satisficing approach for solving fuzzy multiobjective Linear optimization problems based on the Attainable Reference Point Method

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