Results 21 to 30 of about 1,054,579 (292)
PLoS ONE, 2023 This study investigates the compromise allocation of multivariate stratified sampling with complete response and nonresponse. We have formulated a multivariate stratified sampling problem as a mathematical programming problem to estimate p-population ...
Yashpal Singh Raghav +2 more
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A Neutrosophic Compromise Programming Technique to Solve Multi-Objective Assignment Problem with T2TpFNs [PDF]
Neutrosophic Sets and Systems, 2022 Multi-objective assignment problems (MOAPs) emerge in a wide range of real-world scenarios, from everyday activities to large-scale industrial operations.
Murshid Kamal +3 more
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Economía Agraria y Recursos Naturales, 2015 This research analyses the subjective crop yield-water relationship and proposes a method to determine water supply in irrigated olives. The probability density for water response functions (PDF) is elicited from a series of interviews carried out on a ...
Julio Berbel, Carlos Gutiérrez-Martín
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Journal of Mathematics, 2021 Aiming at the problem of multiobjective transportation decision-making, a fuzzy compromise method with an improved S-type membership function is proposed.
Xiang Ziquan +3 more
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A compromise solution for the neutrosophic multi-objective linear programming problem and its application in transportation problem [PDF]
Journal of Applied Research on Industrial Engineering, 2023 Neutrosophic set theory plays an important role in dealing with the impreciseness and inconsistency in data encountered in solving real-life problems. The current paper focuses on the neutrosophic fuzzy multiobjective linear programming problem (NFMOLPP),
Elham Hosseinzadeh, Javad Tayyebi
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Selection of CMIP5 general circulation model outputs of precipitation for peninsular Malaysia
Hydrology Research, 2020 Reduction of uncertainty in climate change projections is a major challenge in impact assessment and adaptation planning. General circulation models (GCMs) along with projection scenarios are the major sources of uncertainty in climate change projections.
Saleem A. Salman +3 more
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A Compromise Decision-making Model for Multi-objective Large-scale Programming Problems with a Block Angular Structure under Uncertainty [PDF]
Journal of Optimization in Industrial Engineering, 2016 This paper proposes a compromise model, based on the technique for order preference through similarity ideal solution (TOPSIS) methodology, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure ...
behnam vahdani +2 more
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Meta-Heuristic Algorithms for Learning Path Recommender at MOOC
IEEE Access, 2021 Online learning platforms, such as Coursera, Edx, Udemy, etc., offer thousands of courses with different content. These courses are often of discrete content.
Ngo Tung Son +3 more
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Domain-independent programming by demonstration in existing applications [PDF]
, 2001 This paper describes Familiar, a domain- independent programming by demonstration system for automating iterative tasks in existing, unmodified applications on a popular commercial platform.
Paynter, Gordon W. +3 more
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A fuzzy compromise programming approach for the Black-Litterman portfolio selection model [PDF]
Decision Science Letters, 2013 In this paper, we examine advanced optimization approach for portfolio problem introduced by Black and Litterman to consider the shortcomings of Markowitz standard Mean-Variance optimization.
Mohsen Gharakhani, Seyed Jafar Sadjadi
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