Browsing by Keywords "Decision making"
Now showing items 21-40 of 58
-
A game theoretical modeling and simulation framework for the integration of unmanned aircraft systems in to the national airspace
(AIAA, 2016)The focus of this paper is to present a game theoretical modeling and simulation frame- work for the integration of Unmanned Aircraft Systems (UAS) into the National Airspace system (NAS). The problem of predicting the ... -
Game-theoretic modeling of traffic in unsignalized intersection network for autonomous vehicle control verification and validation
(IEEE, 2020)For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with human-driven vehicles. Their planning and control systems need extensive testing, including early-stage testing in simulations where ... -
Generating robust and stable schedules in a single machine environment
(IIE, 2004)Scheduling is a decision making process that concerns with allocation of limited resources (machines, material handling equipment, operators, tools, etc.) to competing tasks (operations of jobs) over time with the goal of ... -
A goal programming approach to mixed-model assembly line balancing problem
(Elsevier, 1997)In this paper, a binary goal programming model for the mixed-model assembly line balancing (ALB) problem is developed. The model is based on the concepts developed by Patterson and Albracht [1] and the model of Deckro and ... -
How elephants learn the new dance when headquarters changes the music: three case studies on innovation strategy change
(Wiley-Blackwell Publishing, 2008)Does a product innovation strategy change at company headquarters resonate the same way at different strategic business units (SBUs)? What factors play a role in differing implementation of new innovation strategies? A ... -
Hub location under competition
(Elsevier, 2016)Hubs are consolidation and dissemination points in many-to-many flow networks. Hub location problem is to locate hubs among available nodes and allocate non-hub nodes to these hubs. The mainstream hub location studies ... -
Human activity recognition using inertial/magnetic sensor units
(Springer, Berlin, Heidelberg, 2010)This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ... -
I have, therefore i love: status quo preference in mate choice
(Sage Publications, Inc., 2018)Decades of research indicate that individuals adhere to existing states (“status quo bias”) and value them more (“endowment effect”). The present work is the first to investigate status quo preference within the context ... -
Identification of target primitives with multiple decision-making sonars using evidential reasoning
(Sage Publications Ltd., 1998-06)In this study, physical models are used to model reflections from target primitives commonly encountered in a mobile robot's environment. These targets are differentiated by employing a multitransducer pulse/echo system ... -
Inequity averse optimization in operational research
(Elsevier, 2015)There are many applications across a broad range of business problem domains in which equity is a concern and many well-known operational research (OR) problems such as knapsack, scheduling or assignment problems have been ... -
Integration of reasoning systems in architectural modeling activities
(Elsevier Science, 1998)In the first phase of a design process, the designer understands the problem and assimilates it to a conceptual framework that is already known to him. Due to the nature of design problems, the reasoning methods and ... -
Investing in quality under autonomous and induced learning
(Taylor & Francis, 2003)The reduction of variability in product performance characteristics is an important focus of quality improvement programs. Learning is intrinsically linked to process improvement and can assume two forms: (i) autonomous ... -
Investments viewed as growth processes
(Taylor & Francis, 1995)For modeling investment decision situations, we present a mathematical basis that views the cash flow sequences as growth processes. We first emphasize the pedagogical value of the basic model by showing that all traditionally ... -
Localization of diagnostically relevant regions of interest in whole slide images: a comparative study
(Springer New York LLC, 2016-08)Whole slide digital imaging technology enables researchers to study pathologists’ interpretive behavior as they view digital slides and gain new understanding of the diagnostic medical decision-making process. In this ... -
Managerial motivation dynamics and incentives
(2007)Firms can increase profitability by appropriately motivating managers. We investigate drivers of managerial motivation, and propose how firms can use performance pay to alter motivational patterns. We focus on the agent's ... -
Market entry decisions: effects of absolute and relative confidence
(Hogrefe Publishing, 2008)In a market entry game, the number of entrants usually approaches game-theoretic equilibrium quickly, but in real-world markets business start-ups typically exceed market capacity, resulting in chronically high failure ... -
Match-up scheduling under a machine breakdown
(Elsevier, 1999)When a machine breakdown forces a modified flow shop (MFS) out of the prescribed state, the proposed strategy reschedules part of the initial schedule to match up with the preschedule at some point. The objective is to ... -
Multi-criteria analysis using latent class cluster ranking: An investigation into corporate resiliency
(Elsevier, 2014)In this paper, we introduce a multi-stage multiple criteria latent class model within a Bayesian framework that can be used to evaluate and rank-order objects based on multiple performance criteria. The latent variable ... -
Non-identical parallel CNC machine scheduling
(Taylor & Francis, 2003)In this study, we solve the non-identical parallel CNC machine scheduling problem. We have two objectives: minimizing the manufacturing cost (comprising machining, non-machining and tooling costs) and minimizing the total ... -
The performance comparison of different training strategies for reinforcement learning on DeepRTS
(IEEE, 2022-08-29)In this paper, we train reinforcement learning agents on the game of DeepRTS under different training strategies, which are i) training against rule based agents, ii) self-training and iii) training by adversarial attack ...
