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Articles 331 - 339 of 339
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Classification Models In Clinical Decision Making, Eleazar Gil-Herrera
Classification Models In Clinical Decision Making, Eleazar Gil-Herrera
USF Tampa Graduate Theses and Dissertations
In this dissertation, we present a collection of manuscripts describing the development of prognostic models designed to assist clinical decision making. This work is motivated by limitations of commonly used techniques to produce accessible prognostic models with easily interpretable and clinically credible results. Such limitations hinder prognostic model widespread utilization in medical practice.
Our methodology is based on Rough Set Theory (RST) as a mathematical tool for clinical data anal- ysis. We focus on developing rule-based prognostic models for end-of life care decision making in an effort to improve the hospice referral process. The development of the prognostic models is …
Decision Support For Assorted Populations In Uncertain And Congested Environments, Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng
Decision Support For Assorted Populations In Uncertain And Congested Environments, Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng
Research Collection School Of Computing and Information Systems
This research is motivated by large scale problems in urban transportation and labor mobility where there is congestion for resources and uncertainty in movement. In such domains, even though the individual agents do not have an identity of their own and do not explicitly interact with other agents, they effect other agents. While there has been much research in handling such implicit effects, it has primarily assumed deterministic movements of agents. We address the issue of decision support for individual agents that are identical and have involuntary movements in dynamic environments. For instance, in a taxi fleet serving a city, …
Automated Parameter Tuning Framework For Heterogeneous And Large Instances: Case Study In Quadratic Assignment Problem, Linda Lindawati, Zhi Yuan, Hoong Chuin Lau, Feida Zhu
Automated Parameter Tuning Framework For Heterogeneous And Large Instances: Case Study In Quadratic Assignment Problem, Linda Lindawati, Zhi Yuan, Hoong Chuin Lau, Feida Zhu
Research Collection School Of Computing and Information Systems
This paper is concerned with automated tuning of parameters of algorithms to handle heterogeneous and large instances. We propose an automated parameter tuning framework with the capability to provide instance-specific parameter configurations. We report preliminary results on the Quadratic Assignment Problem (QAP) and show that our framework provides a significant improvement on solutions qualities with much smaller tuning computational time.
Regret Based Robust Solutions For Uncertain Markov Decision Processes, Asrar Ahmed, Pradeep Reddy Varakantham, Yossiri Adulyasak, Patrick Jaillet
Regret Based Robust Solutions For Uncertain Markov Decision Processes, Asrar Ahmed, Pradeep Reddy Varakantham, Yossiri Adulyasak, Patrick Jaillet
Research Collection School Of Computing and Information Systems
In this paper, we seek robust policies for uncertain Markov Decision Processes (MDPs). Most robust optimization approaches for these problems have focussed on the computation of maximin policies which maximize the value corresponding to the worst realization of the uncertainty. Recent work has proposed minimax regret as a suitable alternative to the maximin objective for robust optimization. However, existing algorithms for handling minimax regret are restricted to models with uncertainty over rewards only. We provide algorithms that employ sampling to improve across multiple dimensions: (a) Handle uncertainties over both transition and reward models; (b) Dependence of model uncertainties across state, …
Uncertain Congestion Games With Assorted Human Agent Populations , Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng
Uncertain Congestion Games With Assorted Human Agent Populations , Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng
Research Collection School Of Computing and Information Systems
Congestion games model a wide variety of real-world resource congestion problems, such as selfish network routing, traffic route guidance in congested areas, taxi fleet optimization and crowd movement in busy areas. However, existing research in congestion games assumes: (a) deterministic movement of agents between resources; and (b) perfect rationality (i.e. maximizing their own expected value) of all agents. Such assumptions are not reasonable in dynamic domains where decision support has to be provided to humans. For instance, in optimizing the performance of a taxi fleet serving a city, movement of taxis can be involuntary or nondeterministic (decided by the specific …
Naval Surface Warfare Center Dahlgren Division Engagement Systems (G) Department Development Of A Plan To Maintain, Expand, And Create Corporate Knowledge, Luis J. Rodriguez
Naval Surface Warfare Center Dahlgren Division Engagement Systems (G) Department Development Of A Plan To Maintain, Expand, And Create Corporate Knowledge, Luis J. Rodriguez
Engineering Management & Systems Engineering Theses & Dissertations
This dissertation presents the implementation of an organizational study in a technical organization that provides basic information for proper decision making to establish, continue, nurture, modify, transfer or terminate a Knowledge Management (KM) practice. Different aspects of an organization influence the capability to create and retain knowledge. Understanding the factors and the environment of the KM problem in an organization is essential for a successful plan and execution of knowledge creation, transfer and retention. The study purpose was to describe the contextual situation of the organization in terms of Human, Structural and Relational Capital; identify critical knowledge for the organization …
Effects Of Signal Ambiguity And Signal Location On Target Detection Under Varying Degrees Of Time Constraint, Kimberly E. Culley
Effects Of Signal Ambiguity And Signal Location On Target Detection Under Varying Degrees Of Time Constraint, Kimberly E. Culley
Psychology Theses & Dissertations
The purpose of the current study was to investigate the effects of decision-making strategies and tendencies, time constraint, and signal characteristics on decision-making performance utilizing the fuzzy signal detection theory framework. Participants were tasked with deciding whether x-ray images of passenger luggage contained hazardous objects.
The first objective of the study was to develop a methodology for quantifying optimizing versus satisficing tendencies in decision making through direct measurement and observation.
The second objective of the study was to examine how time constraint and specific signal characteristics contribute to decision making. Interestingly, despite having more time available to conduct a comprehensive …
Shared Leadership In Six Sigma Teams From The North Shore-Lij Health System, Brian J. Galli
Shared Leadership In Six Sigma Teams From The North Shore-Lij Health System, Brian J. Galli
Engineering Management & Systems Engineering Theses & Dissertations
The main goal of the research was to identify the relationships that the internal research team environment and external coaching variables had with the degree of shared leadership in the context of Six Sigma teams from the North Shore LIJ Health System. Furthermore, the research ascertained the relationships that these variables had with two performance metrics: a team's ability to complete project deliverables and satisfy customer's requirements. This research also sought to understand additional factors that affected the five variables.
The research found that while shared leadership did not positively change as a team progressed through the phases of the …
System Governance Analysis Of Complex Systems, Behnido Y. Calida
System Governance Analysis Of Complex Systems, Behnido Y. Calida
Engineering Management & Systems Engineering Theses & Dissertations
The purpose of this research was to develop and deploy a systems-based framework for analysis of complex governance systems using a multimethodology research design. Two research gaps motivated this research: (1) lack of an integrated conceptualization of a system governance construct, (2) an absence of studies that consider both the governed and governing systems as well as the emergent interactions that arise from within complex governance systems.
The research focused on three primary questions: (1) What are the distinctive characteristics of governance?; (2) What system-based framework can be developed for analysis of governance in complex systems?, and (3) What results …