Suchergebnisse - fuzzy programming method and integral solution

Computation of a multi-objective production planning model with probabilistic constraints von Sahoo, N. P., Biswal, M. P.

“… The deterministic problem has been computed with two different methods, namely weighting method and fuzzy programming method …”
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A novel intuitionistic fuzzy goal programming method for heterogeneous MADM with application to regional green manufacturing level evaluation under multi-source information von Yu, Gao-Feng, Li, Deng-Feng

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Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making von Wan, Shu-Ping, Yan, Jia, Zou, Wen-Chang, Dong, Jiu-Ying

“… This paper develops a new method based on generalized hybrid Shapley Choquet integral for interval-valued hesitant fuzzy uncertain linguistic multi-criteria group decision making (MCGDM …”
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Learning k-maxitive fuzzy measures from data by mixed integer programming von Beliakov, Gleb, Wu, Jian-Zhang

“… Fuzzy measures model interactions between the inputs in aggregation problems. Their complexity grows exponentially with the dimensionality of the problem …”
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Value Iteration-Based Adaptive Fuzzy Backstepping Optimal Control of Modular Robot Manipulators via Integral Reinforcement Learning von Dong, Bo, Jiang, Hucheng, Cui, Yiming, Zhu, Xinye, An, Tianjiao

“… An adaptive fuzzy backstepping optimal control method is developed for modular robot manipulators (MRMs …”
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Advances in Fuzzy MCDM, Hybrid Methods, Fuzzy Number Ranking and Their Applications

“… This Special Issue of Axioms entitled "Advances in Fuzzy MCDM, Hybrid Methods, Fuzzy Number Ranking, and Their Applications" consists of a collection of ten papers written by eminent mathematicians …”
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Advances in Optimization and Nonlinear Analysis

“… The present book focuses on that part of calculus of variations, optimization, nonlinear analysis and related applications which combines tools and methods from partial differential equations with geometrical techniques …”
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10th Anniversary of Axioms: Mathematical Analysis

“… The journal Axioms has achieved a remarkable increase in the number of papers published, as well as a significant growth in citations over the past decade. In …”
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An Improved ACO Algorithm Optimized Fuzzy PID Controller for Load Frequency Control in Multi Area Interconnected Power Systems von Chen, Gonggui, Li, Zhijun, Zhang, Zhizhong, Li, Shuaiyong

“… In this paper, an Improved Ant Colony Optimization (IACO) algorithm optimized fuzzy PID (FPID …”
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Tracking control optimization scheme for a class of partially unknown fuzzy systems by using integral reinforcement learning architecture von Zhang, Kun, Zhang, Huaguang, Mu, Yunfei, Sun, Shaoxin

“… Secondly, to overcome the requirements of exact original system information, the integral RL technique is utilized to learn the fuzzy control solution, which relaxes the repeatedly transmissions …”
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Solution of intuitionistic fuzzy linear programming problem by dual simplex algorithm and sensitivity analysis von Mohan, Suresh, Kannusamy, Arun Prakash, Sidhu, Sukhpreet Kaur

“… This analysis is known to be an integral part of any real‐life problem solving. This gives a system a dynamic function that enables a researcher to analyze the behavior of the optimal solution as a result of changing the parameters of the model …”
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Knapsack problems with dependencies through non-additive measures and Choquet integral von Beliakov, Gleb

“… We also study scalability of the solution methods and compare large problems defined with respect to 2-additive capacities which model pairwise interactions, and linear knapsack with respect …”
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A PSO-based adaptive fuzzy PID-controllers von Chiou, Juing-Shian, Tsai, Shun-Hung, Liu, Ming-Tang

“… In order to avoid obtaining the local optimum solution, we adopted a pure PSO global exploration method to search fuzzy-PID parameter …”
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Optimizing fuzzy portfolio selection problems by parametric quadratic programming von Wu, Xiao-Li, Liu, Yan-Kui

“… This paper develops a robust method to describe fuzzy returns by employing parametric possibility distributions …”
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Numerical solution for solving fuzzy volterra integral 2nd –kind by using modified decomposition technique von Jazzaa, Dakhaa Fadil, Abdulqader, Alan Jalal

“… The modified decomposition method is utilized to investigate convergence in the solution of the second class of fuzzy nonlinear Volterra integral formula …”
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Preference-Based Solution Selection Algorithm for Evolutionary Multiobjective Optimization von Kim, Jong-Hwan, Han, Ji-Hyeong, Kim, Ye-Hoon, Choi, Seung-Hwan, Kim, Eun-Soo

“… of consideration by fuzzy measure and globally evaluates obtained solutions by fuzzy integral. The PSSA …”
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On a pair of fuzzy dominated mappings on closed ball in the multiplicative metric space with applications von Rasham, Tahair, Shabbir, Muhammad Sajjad, Agarwal, Praveen, Momani, Shaher

“… Furthermore, we find a unique common solution for a system of non linear Voltera type integral equations and lastly we give an application to ensure the existence of common bounded solution …”
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Capacities satisfying the buoyancy property on average: Capacities satisfying the buoyancy property on average von Beliakov, Gleb, James, Simon, Wu, Jian-Zhang

“… As well as this property having useful interpretations for measures of welfare and species diversity, it also allows for efficient solutions when the Choquet integral is used as an objective function in optimisation …”
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Forming a Hierarchical Choquet Integral with a GA-Based Heuristic Least Square Method von Chen, Chin-Yi, Huang, Jih-Jeng

“… : Identifying the fuzzy measures of the Choquet integral model is an important component in resolving complicated multi-criteria decision-making (MCDM) problems …”
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Safety-Critical Cooperative Target Enclosing Control of Autonomous Surface Vehicles Based on Finite-Time Fuzzy Predictors and Input-to-State Safe High Order Control Barrier Functions von Jiang, Yue, Peng, Zhouhua, Liu, Lu, Wang, Dan, Zhang, Fumin

“… Specifically, a finite-time fuzzy predictor is presented to learn the unknown kinetics with the integral of historical vehicle data …”
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