Results 11 to 20 of about 910,379 (294)
Solving fully fuzzy linear programming problems by controlling the variation range of variables
Қарағанды университетінің хабаршысы. Математика сериясы, 2021 This paper deals with a fully fuzzy linear programming problem (FFLP) in which the coefficients of decision variables, the right-hand coefficients and variables are characterized by fuzzy numbers.
S.M. Davoodi, N.A. Abdul Rahman
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Ranking intersecting distribution functions [PDF]
Journal of Applied Econometrics, 2021 SummarySecond‐degree dominance has become a widely accepted criterion for ordering distribution functions according to social welfare. However, it provides only a partial ordering, and it may fail to rank distributions that intersect. To rank intersecting distribution functions, we propose a general approach based on rank‐dependent theory.
Aaberge, Rolf +2 more
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Eventual linear ranking functions [PDF]
Proceedings of the 15th Symposium on Principles and Practice of Declarative Programming, 2013 Program termination is a hot research topic in program analysis. The last few years have witnessed the development of termination analyzers for programming languages such as C and Java with remarkable precision and performance. These systems are largely based on techniques and tools coming from the field of declarative constraint programming.
Bagnara, Roberto, Mesnard, Frédéric
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An Intelligent Dual Simplex Method to Solve Triangular Neutrosophic Linear Fractional Programming Problem [PDF]
Neutrosophic Sets and Systems, 2020 This paper develops a general form of neutrosophic linear fractional programming (NLFP) problem and proposed a novel model to solve it. In this method the NLFP problem is decomposed into two neutrosophic linear programming (NLP) problem. Furthermore, the
Sapan Kumar Das +2 more
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Information, 2021 Stationary memoryless sources produce two correlated random sequences Xn and Yn. A guesser seeks to recover Xn in two stages, by first guessing Yn and then Xn.
Robert Graczyk, Igal Sason
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Diversity Balancing for Two-Stage Collaborative Filtering in Recommender Systems
Applied Sciences, 2020 Conventional recommender systems are designed to achieve high prediction accuracy by recommending items expected to be the most relevant and interesting to users. Therefore, they tend to recommend only the most popular items. Studies agree that diversity
Liang Zhang +4 more
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Termination Analysis of Single Path Loop Programs Based on Iterative Trajectory Division [PDF]
Jisuanji kexue, 2023 The ranking function has been extensively studied as an important method of program termination analysis.In this paper,we focus on the termination of single-path loops.Firstly,the concept of two-way iterative loops is proposed,and the single-path loops ...
WANG Yao, LI Yi
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Solving the fully fuzzy multi-choice linear programming model [PDF]
تصمیم گیری و تحقیق در عملیاتPurpose: Fuzzy multi-choice problems are widely used in the real world in the fields of industry, agriculture, science, technology, etc. Therefore, studying and solving such problems is essential.
Zahra Arami +2 more
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Mathematics, 2023 In this work, we propose a 3D dynamic optimization model that enables the design of an underground mine ore pass system with uncertainties. Ore transportation costs and ore pass development costs are quantified by triangular fuzzy numbers. Transportation
Dževdet Halilović +3 more
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An Alternative Cross Entropy Loss for Learning-to-Rank
, 2021 Listwise learning-to-rank methods form a powerful class of ranking algorithms that are widely adopted in applications such as information retrieval. These algorithms learn to rank a set of items by optimizing a loss that is a function of the entire set --
Bruch, Sebastian
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