Search results for "Decision"
showing 10 items of 2091 documents
Cell state prediction through distributed estimation of transmit power
2019
Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…
An Interactive Framework for Offline Data-Driven Multiobjective Optimization
2020
We propose a framework for solving offline data-driven multiobjective optimization problems in an interactive manner. No new data becomes available when solving offline problems. We fit surrogate models to the data to enable optimization, which introduces uncertainty. The framework incorporates preference information from a decision maker in two aspects to direct the solution process. Firstly, the decision maker can guide the optimization by providing preferences for objectives. Secondly, the framework features a novel technique for the decision maker to also express preferences related to maximum acceptable uncertainty in the solutions as preferred ranges of uncertainty. In this way, the d…
A New Paradigm in Interactive Evolutionary Multiobjective Optimization
2020
Over the years, scalarization functions have been used to solve multiobjective optimization problems by converting them to one or more single objective optimization problem(s). This study proposes a novel idea of solving multiobjective optimization problems in an interactive manner by using multiple scalarization functions to map vectors in the objective space to a new, so-called preference incorporated space (PIS). In this way, the original problem is converted into a new multiobjective optimization problem with typically fewer objectives in the PIS. This mapping enables a modular incorporation of decision maker’s preferences to convert any evolutionary algorithm to an interactive one, whe…
A computational approach for the assessment of executive functions in patients with obsessive-compulsive disorder
2019
Previous studies on obsessive–compulsive disorder (OCD) showed impairments in executive domains, particularly in cognitive inhibition. In this perspective, the use of virtual reality showed huge potential in the assessment of executive functions; however, unfortunately, to date, no study on the assessment of these patients took advantage of the use of virtual environments. One of the main problems faced within assessment protocols is the use of a limited number of variables and tools when tailoring a personalized program. The main aim of this study was to provide a heuristic decision tree for the future development of tailored assessment protocols. To this purpose, we conducted a study that…
Behavioral and Electrophysiological Arguments in Favor of a Relationship between Impulsivity, Risk-Taking, and Success on the Iowa Gambling Task
2019
The aim of the present study was to investigate the relationship between trait impulsivity, risk-taking, and decision-making performance. We recruited 20 healthy participants who performed the Iowa Gambling Task (IGT) and the Balloon Analog Risk Task (BART) to measure decision-making and risk-taking. The impulsivity was measured by the Barratt Impulsiveness Scale. Resting-state neural activity was recorded to explore whether brain oscillatory rhythms provide important information about the dispositional trait of impulsivity. We found a significant correlation between the ability to develop a successful strategy and the propensity to take more risks in the first trials of the BART. Risk-taki…
The Psychological Foundations of Management in Family Firms: Emotions, Memories, and Experiences
2021
Exploring the psychological foundations of management in family firms is necessary to understand why they formulate and implement strategies differently from nonfamily firms, and why and how family firm behavior varies across different family firms. Picone et al. (2021. The psychological foundations of management in family firms: Values, biases, and heuristics. Family Business Review, 34(1), 12-32) have proposed a conceptual framework for the psychological foundations of management in family business, examining how the values, biases, and heuristics of family firm members affect strategic decision-making and family firm outcomes. Drawing on this framework, we examine emotions, memories, an…
Early warning of systemic risk in global banking: eigen-pair R number for financial contagion and market price-based methods
2021
AbstractWe analyse systemic risk in the core global banking system using a new network-based spectral eigen-pair method, which treats network failure as a dynamical system stability problem. This is compared with market price-based Systemic Risk Indexes (SRIs), viz. Marginal Expected Shortfall (MES), Delta Conditional Value-at-Risk (Delta-CoVaR), and Conditional Capital Shortfall Measure of Systemic Risk (SRISK) in a cross-border setting. Unlike paradoxical market price based risk measures, which underestimate risk during periods of asset price booms, the eigen-pair method based on bilateral balance sheet data gives early-warning of instability in terms of the tipping point that is analogou…
The Value Relevance of Risk Disclosure: An Analysis of the Banking Sector
2020
The aim of this study is to test whether financial risk disclosures required by IFRS 7 and Pillar 3 are value relevant for investors to support them in their investment decisions. The sample in the...
Banks’ business strategies on the edge of distress
2019
AbstractThe paper investigates the importance of banks’ business classification in shaping the risk profile of financial institutions on a global scale. We employ a rare-event logit model based on a state-of-the-art list of major global distress events from the global financial crisis. When clustering banks by their business strategies using a community detection approach, we show that (i) capital enhanced resilience only for traditional banks that were on average less capitalized than other banks; (ii) boosting ROE, usually associated with riskier exposures, improved resilience for stable funded and asset diversified banks; (iii) conversely, higher levels of ROA exacerbated banks’ vulnerab…
Decision support system to design feasible high-frequency Motorways of the Sea: A new perspective for public commitment
2016
ABSTRACTThe implementation of Motorways of the Sea (MoS) within the framework of European Union aid programs experiences a period of relative stagnation. This article analyzes the suitability of current short-term nonrepayable subsidy policy and develops a decision support system (DSS) that allows a medium- and long-term feasibility analysis of MoS proposals. One significant conclusion drawn from the application of the proposed DSS to a prototypical high-frequency MoS provides that the period of initial losses prior to achievement of both modal shift and accounting profits might last 10 years. Moreover, the entire duration of the period that includes prior objectives as well as the recoveri…