Interval type-2 fuzzy linear programming problem with vagueness in the resources vector [PDF]
Journal of Mahani Mathematical ResearchOne of the special cases of type-2 fuzzy sets are the interval type-2 fuzzy sets, which are less complicated and easier to understand than T2FSs. In this study, we explore the interval type-2 fuzzy linear programming problem with the resources vector ...
Shokouh Sargolzaei, Hassan Mishmast Nehi
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Comparative Evaluation of the Performance of Spans of Control Designs in Grain Supply Chains [PDF]
A fuzzy multi-objective linear programming model is used to analyze the performances of three spans of control designs that are observed in the U.S grain industry. Performance of the grain supply chain increases with amount of control and compromise.Crop
Baiyee-Mbi, Agbor-Baiyee +1 more
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From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems
Ibn Al-Haitham Journal for Pure and Applied SciencesIdentifying the optimum solution that satisfies the restrictions and maximizes or minimizes the objective function is the aim of fully fuzzy fractional programming (FFFLP). Due to the inclusion of both fuzzy parameters and fractional variables, this
Israa Hadi, Iden H. Al Kanani
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Solving Fuzzy Linear Programming Problems with Fuzzy Decision Variables
Mathematics, 2019 The numerical method for solving the fuzzy linear programming problems with fuzzy decision variables is proposed in this paper. The difficulty for solving this kind of problem is that the decision variables are assumed to be nonnegative fuzzy numbers ...
Hsien-Chung Wu
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Metode Kumar Untuk Menyelesaikan Program Linier Fuzzy Penuh Pada Masalah Transportasi Fuzzy [PDF]
, 2016 In this paper, we discusses fully fuzzy linear programming in transportation problem. To find the fuzzy optimal solution of the problem with equality constraints, we use Kumar's Method. The value of the fuzzy optimal solution obtained is used to find the
Irawanto, B. (Bambang) +1 more
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Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics
Advanced Robotics Research, EarlyView.Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod +14 more
wiley +1 more source
On solving fully fuzzy multi-criteria De Novo programming via fuzzy goal programming approach
Journal of Applied Research on Industrial Engineering, 2018 In this paper, a Multi-Criteria De Novo Linear Programming (F- MDNLP) problem has been developed under consideration of the ambiguity of parameters. These fuzzy parameters are characterized by fuzzy numbers.
Hamiden Abdelwahed Khalifa
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Fuzzy integer linear programming problems
International Journal of Contemporary Mathematical Sciences, 2007 Summary: The fuzzy integer linear programming problem (FILP) is considered. This problem is reduced to crisp integer linear programming problem. This transformation is performed by the related theorems and lemmas. The solution of FILP is obtained by the solutions of ILP's. Finally the method is illustrated by two numerical examples.
Allahviranloo, T. +3 more
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Interactive Fuzzy Programming for Stochastic Two-level Linear Programming Problems through Probability Maximization [PDF]
, 2009 This paper considers stochastic two-level linear programming problems. Using the concept of chance constraints and probability maximization, original problems are transformed into deterministic ones.
Kato, K., Sakawa, M.
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