Kin-hong Wong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1992. / Includes bibliographical references (leaves 67-70). / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Literature Review --- p.4 / Chapter 2.1 --- Modelling --- p.4 / Chapter 2.1.1 --- Integer Programming Model --- p.4 / Chapter 2.1.2 --- Network Flow Model --- p.6 / Chapter 2.1.3 --- Graph Colouring Model --- p.8 / Chapter 2.2 --- Heuristic Approach --- p.10 / Chapter 2.2.1 --- Lesson Selection Strategy --- p.11 / Chapter 2.2.2 --- Time Slot Selection Strategy --- p.12 / Chapter 2.2.3 --- Conflict handling Strategy --- p.13 / Chapter 2.3 --- Remarks --- p.15 / Chapter Chapter 3 --- Project Overview --- p.16 / Chapter 3.1 --- The Work Flow --- p.16 / Chapter 3.2 --- System Objectives --- p.17 / Chapter 3.3 --- An Incremental Construction Approach --- p.18 / Chapter 3.4 --- A Decision Support System --- p.19 / Chapter Chapter 4 --- Task Analysis --- p.21 / Chapter 4.1 --- Three-Stage Task Model --- p.21 / Chapter 4.1.1 --- Conflict Free (CF) Stage --- p.22 / Chapter 4.1.2 --- Conflict Avoidance (CA) Stage --- p.23 / Chapter 4.1.3 --- Conflict Resolution (CR) Stage --- p.24 / Chapter 4.2 --- System Supports --- p.24 / Chapter 4.2.1 --- Supports for CF Stage --- p.24 / Chapter 4.2.2 --- Supports for CA Stage --- p.25 / Chapter 4.2.3 --- Supports for CR Stage --- p.25 / Chapter Chapter 5 --- System Design --- p.27 / Chapter 5.1 --- User Interface --- p.28 / Chapter 5.2 --- Data Model --- p.28 / Chapter 5.2.1 --- Timetable Structure --- p.30 / Chapter 5.2.2 --- Resource Lists --- p.31 / Chapter 5.2.3 --- Lesson List --- p.33 / Chapter 5.2.4 --- History Log --- p.34 / Chapter 5.3 --- Operational Tools --- p.35 / Chapter 5.3.1 --- Elementary Scheduling Functions --- p.35 / Chapter 5.3.2 --- AUTO Function --- p.36 / Chapter 5.3.3 --- FLAG/COMMIT/ABORT --- p.37 / Chapter 5.4 --- Analytical Tools --- p.39 / Chapter 5.4.1 --- Availability Table --- p.39 / Chapter 5.4.2 --- Operation History --- p.39 / Chapter 5.4.3 --- Slot Finder --- p.40 / Chapter 5.4.4 --- Scheduling Priority --- p.42 / Chapter 5.5 --- Remarks --- p.43 / Chapter Chapter 6 --- System Evaluation --- p.45 / Chapter 6.1 --- Case 1 --- p.46 / Chapter 6.2 --- Case 2 --- p.46 / Chapter 6.3 --- Case 3 --- p.47 / Chapter 6.4 --- Remarks --- p.48 / Chapter Chapter 7 --- Further Works --- p.50 / Chapter 7.1 --- Algorithmic Tools --- p.50 / Chapter 7.2 --- Post-Scheduling Room Assignment --- p.52 / Chapter 7.3 --- Input and Output Processors --- p.53 / Chapter 7.4 --- Electronic Tutorial Subsystem --- p.54 / Chapter 7.5 --- Task-Model-Based Help Subsystem --- p.54 / Chapter Chapter 8 --- Conclusions --- p.56 / Chapter Appendix A --- Database Definition --- p.58 / Chapter Appendix B --- Conflict Resolution Algorithm --- p.61 / Chapter Appendix C --- System Specification --- p.63 / References --- p.67

Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 134-140). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 134-140). Also available on the Internet.

Thesis (M. Sc.)--University of Hong Kong, 1995. / Includes bibliographical references.

Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Daniel R. Dolk, Glenn Cook. Includes bibliographical references (p. 113-114). Also available online.

Neuromuscular diseases are difficult to diagnose, requiring specialized equipment and training. A decision support system facilitates this by visualizing the data produced by a classification system, allowing users to make a diagnosis. This thesis explores the development of a specific component of the decision support system; a comparison tool which allows the user to explore the visualization by making comparisons between assertions derived from the underlying classification system. After studying the impact of the comparison tool upon the performance of volunteer users, we provide recommendations on the utility of a particular decision exploration strategy and give guidance for the correct course for the future development of this system. This document illustrates some of the unique challenges associated with the evaluation of a decision support system which relies not only upon the computational power of the computer, but also upon a human’s innate ability to solve problems.

No description available.

No description available.

No description available.

No description available.