Results 41 to 50 of about 5,894,063 (275)
Solving fully neutrosophic linear programming problem with application to stock portfolio selection
Croatian Operational Research Review, 2020 Neutrosophic set is considered as a generalized of crisp set, fuzzy set, and intuitionistic fuzzy set for representing the uncertainty, inconsistency, and incomplete knowledge about the real world problems.
Hamiden Abd El-Wahed Khalifa +1 more
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A MOLP Method for Solving Fully Fuzzy Linear Programming withLRFuzzy Parameters [PDF]
Mathematical Problems in Engineering, 2014 Kaur and Kumar, 2013, use Mehar’s method to solve a kind of fully fuzzy linear programming (FFLP) problems withLRfuzzy parameters. In this paper, a new kind of FFLP problems is introduced with a solution method proposed. The FFLP is converted into a multiobjective linear programming (MOLP) according to the order relation for comparing theLRflat fuzzy ...
Xiao-Peng Yang +3 more
openaire +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Employing Novel Ranking Function for Solving Fully Fuzzy Fractional Linear Programming Problems
مجلة بغداد للعلومFuzzy programming is especially useful in cases where the coefficients are ambiguous. Because of this feature, in recent years, numerous techniques have emerged for addressing uncertainty.
Israa H. Hasan, Iden H. Al Kanani
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Solving Trapezoidal Fuzzy Linear Programming Problem using Modified Big-M
, 2023 <p><i>The fuzzy logic and fuzzy numbers have been applied in many areas of Mathematical Programming. Optimization under uncertainty is one of the most important problem in Mathematical Programming. This paper proposes a Modified Big M ...
Jyoti Arora, Surbhi Sharma
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Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
Advanced Functional Materials, EarlyView.This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source
Zanco Journal of Pure and Applied SciencesThe revised harmonious fuzzy technique (RHFT) is a method used to solve fuzzy optimization problems. It was capitalized as an extension of the classical linear programming technique to handle constraints and objectives that are fuzzy. The harmonious
Maher A. Nawkhass
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Strict Solution Method for Linear Programming Problem with Ellipsoidal Distributions under Fuzziness [PDF]
, 2009 This paper considers a linear programming problem with ellipsoidal distributions including fuzziness. Since this problem is not well-defined due to randomness and fuzziness, it is hard to solve it directly.
Hasuike, Takashi, Katagiri, Hideki
core
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Advanced Functional Materials, EarlyView.Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
A new method for solving fuzzy linear fractional programming problem with new ranking function [PDF]
International Journal of Research in Industrial Engineering, 2019 Because of uncertainty in the real life applications, reaching to the optimal solution is always time consuming and even sometimes impossible. In order to overcome these limitations the fuzzy set theory is introduced to handle it but not only incomplete ...
S. Kumar-Das
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