Optimization Model of Hirmand River Basin Water Resources in the Agricultural Sector Using Stochastic Dynamic Programming under Uncertainty Conditions [PDF]
International Journal of Agricultural Management and Development, 2016 I n this study, water management allocated to the agricultural sector’was analyzed using stochastic dynamic programming under uncertainty conditions. The technical coefficients used in the study referred to the agricultural years, 2013-2014.
Mahmoud Mohammadghasemi +2 more
doaj
Finding efficient solutions in the interval multi-objective linear programming models [PDF]
Yugoslav Journal of Operations Research, 2021 The aim of our paper is to obtain efficient solutions to the interval multi-objective linear programming (IMOLP) models. In this paper, we propose a new method to determine the efficient solutions in the IMOLP models by using the expected value and ...
Batamiz Aida, Allahdadi Mehdi
doaj +1 more source
Maintaining Stability for a Matching Problem Under Dynamic Preference
IEEE Access, 2023 This study investigates two-sided matching and considers dynamic preference. In a stable matching problem, dynamic preference is a situation that often happens in real-world situations where the agent cannot express their preference with certainty.
Akhmad Alimudin +2 more
doaj +1 more source
Bounds for the expected value of one-step processes [PDF]
, 2015 Mean-field models are often used to approximate Markov processes with large state-spaces. One-step processes, also known as birth-death processes, are an important class of such processes and are processes with state space $\{0,1,\ldots,N\}$ and where ...
Armbruster, Benjamin +2 more
core +2 more sources
Cognitive abilities and superior decision making under risk [PDF]
Judgment and Decision Making, 2009 Individual differences in cognitive abilities and skills can predict normatively superior and logically consistent judgments and decisions. The current experiment investigates the processes that mediate individual differences in risky choices.
Edward T. Cokely, Colleen M. Kelley
doaj
Uncertainty Cost Functions in Climate-Dependent Controllable Loads in Commercial Environments
Energies, 2021 This article presents the development, simulation and validation of the uncertainty cost functions for a commercial building with climate-dependent controllable loads, located in Florida, USA.
Daniel Losada +2 more
doaj +1 more source
Calculating partial expected value of perfect information via Monte Carlo sampling algorithms [PDF]
, 2007 Partial expected value of perfect information (EVPI) calculations can quantify the value of learning about particular subsets of uncertain parameters in decision models. Published case studies have used different computational approaches.
Alan Brennan +18 more
core +2 more sources
Growth rate for the expected value of a generalized random Fibonacci sequence [PDF]
, 2008 A random Fibonacci sequence is defined by the relation g_n = | g_{n-1} +/- g_{n-2} |, where the +/- sign is chosen by tossing a balanced coin for each n. We generalize these sequences to the case when the coin is unbalanced (denoting by p the probability
Benoît Rittaud +7 more
core +4 more sources
Credibility Measure for Intuitionistic Fuzzy Variables
Mathematics, 2018 Credibility measures in vague environments are to quantify the approximate chance of occurrence of fuzzy events. This paper presents a novel definition about credibility for intuitionistic fuzzy variables.
Mohamadtaghi Rahimi +2 more
doaj +1 more source
Two Manifestations of Market Premium in the Capitalization of Carbon Forest Estates
Energies, 2022 In this study, the effect of capitalization premium in forest estate markets on forest management and climate change mitigation economics is investigated.
Petri P. Kärenlampi
doaj +1 more source