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A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings. [PDF]
Agarwal N +7 more
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Integrating artificial intelligence and conventional approaches in sugarcane bagasse biorefineries: a review towards a circular bioeconomy. [PDF]
Abu-Ellail FFB +11 more
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A new approach for solving fully fuzzy linear programming problem
International Journal of Mathematics in Operational Research, 2019This paper presents the limitations of citeku for solving a fully fuzzy linear programming (FFLP) problem. And accordingly to overcome these limitations a new method has been proposed by using the ranking function. We have considered a FFLP problem with mixed constraints where decision variables are represented by non-negative fuzzy numbers. Triangular
Diptiranjan Behera, Sapan Das
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Nondominated solutions in a fully fuzzy linear programming problem
Mathematical Methods in the Applied Sciences, 2018In this work, a new method is presented for locating fuzzy optimal (nondominated) solutions of a fully fuzzy linear programming problem with inequality constraints and triangular fuzzy numbers, not necessarily symmetric, without ranking functions, by means of solving a multiobjective linear problem.
Manuel Arana Jiménez
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Interactive programming approach for solving the fully fuzzy bilevel linear programming problem
Knowledge-Based Systems, 2016In this paper, a fully fuzzy bilevel linear programming problem in which all the coefficients and decision variables of both objective functions and the constraints are expressed as fuzzy numbers is addressed. The purpose of this paper is to develop an interactive programming approach to obtain a balanced solution of the fully fuzzy bilevel programming
Yuping Wang, Aihong Ren, Xingsi Xue
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Fully hesitant fuzzy linear programming with hesitant fuzzy numbers
Engineering Applications of Artificial Intelligence, 2022Sohrab Effati, Seyed Mohsen Miri
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Applied Intelligence, 2016
In this paper, an efficient method is introduced to solve fully fuzzy linear programming problems. The proposed method is derived from the multi-objective linear programming problem and lexicographic ordering method. Theoretical analysis for the proposed method has been provided.
S A Edalatpanah, Sapan Das
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In this paper, an efficient method is introduced to solve fully fuzzy linear programming problems. The proposed method is derived from the multi-objective linear programming problem and lexicographic ordering method. Theoretical analysis for the proposed method has been provided.
S A Edalatpanah, Sapan Das
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A Simplified Novel Technique for Solving Fully Fuzzy Linear Programming Problems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Izaz Ullah Khan +2 more
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Fully Fuzzy Linear Programming Problem with Triangular Fuzzy Numbers
Journal of Computational and Theoretical Nanoscience, 2016Qiumei Liu
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Type 2 Fully Fuzzy Linear Programming
International Journal of Fuzzy System Applications, 2021Since its inception, fuzzy linear programming (FLP) has proved to be a more powerful tool than classical linear programming to optimize real-life problems dealing with uncertainty. However, the proposed models are partially fuzzy; in other words, they suppose that only some aspects can be uncertain, while others have to be crisp.
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