Mixed intelligent systems : developing models for project management and evaluation /
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Palgrave Macmillan,
[2018]
|
| Series: | Palgrave pivot.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Intro; Contents; List of Figures; List of Tables; Chapter 1: Introduction; References; Chapter 2: Basic Aspects Related to Project Evaluation; 2.1 Terminology Issues; 2.2 Project Evaluation Criteria; 2.3 Systems, Methods, Techniques and Tools in Project Evaluation; 2.4 Comprehensive and Complex Evaluation Systems; 2.5 AI Systems for Evaluation; 2.6 Quantitative Versus Qualitative Methods; References; Chapter 3: Quantitative Evaluation Methods; 3.1 Primary and Secondary Data; 3.2 Surveys; 3.3 Statistical Analysis; 3.4 Quantitative Evaluation Based on AI; References
- Chapter 4: Qualitative Evaluation Methods4.1 Qualitative Research; 4.2 Fieldwork Observation; 4.3 Logic Models; 4.4 New Qualitative Intelligent Systems; References; Chapter 5: Principles of Integrated Evaluation Systems; 5.1 Philosophical Considerations; 5.2 The Need for New Paradigms in Evaluation; 5.3 Systems Approaches in Project Management and Evaluation; 5.4 Integral Theory and Evaluation Systems; 5.5 Mixed Systems Studies Introduction; References; Chapter 6: Modeling Mixed Intelligent Systems; 6.1 Research Questions; 6.2 Model Assumptions
- 6.3 Building Integral Multi-Level Evaluation Model6.4 Designs and Selection of Mixed Intelligent Systems; 6.5 Development of Evaluation Systems; References; Chapter 7: Summary; Index