Correctly functioning evaluation systems directly influence the efficient and effective planning and implementation of projects and the achievement of organisational objectives. This book critically analyses the results of research dedicated to mixed intelligent systems for project evaluation, taking into account the current state of knowledge in the field of project management. It argues for the need to move away from classical concepts and deploy interdisciplinary research methods in the development of comprehensive project evaluation systems. Considering contemporary issues relating to project evaluation, the author deals with both quantitative and qualitative evaluation methods and the problems surrounding systems that integrate them, before discussing the process of modelling mixed intelligent systems. Mixed Intelligent Systems makes a thought-provoking case for harnessing interdisciplinary methods and new ideas in project management research when developing evaluation systems.
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1 | (4) |
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4 | (1) |
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2 Basic Aspects Related to Project Evaluation |
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5 | (22) |
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6 | (4) |
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2.2 Project Evaluation Criteria |
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10 | (3) |
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2.3 Systems, Methods, Techniques and Tools in Project Evaluation |
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13 | (4) |
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2.4 Comprehensive and Complex Evaluation Systems |
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17 | (3) |
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2.5 AI Systems for Evaluation |
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20 | (2) |
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2.6 Quantitative Versus Qualitative Methods |
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22 | (5) |
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23 | (4) |
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3 Quantitative Evaluation Methods |
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27 | (14) |
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3.1 Primary and Secondary Data |
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28 | (1) |
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29 | (1) |
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30 | (5) |
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3.4 Quantitative Evaluation Based on AI |
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35 | (6) |
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39 | (2) |
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4 Qualitative Evaluation Methods |
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41 | (26) |
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42 | (5) |
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4.2 Fieldwork Observation |
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47 | (3) |
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50 | (6) |
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4.4 New Qualitative Intelligent Systems |
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56 | (11) |
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65 | (2) |
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5 Principles of Integrated Evaluation Systems |
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67 | (24) |
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5.1 Philosophical Considerations |
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68 | (4) |
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5.2 The Need for New Paradigms in Evaluation |
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72 | (3) |
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5.3 Systems Approaches in Project Management and Evaluation |
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75 | (6) |
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5.4 Integral Theory and Evaluation Systems |
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81 | (5) |
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5.5 Mixed Systems Studies Introduction |
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86 | (5) |
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88 | (3) |
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6 Modeling Mixed Intelligent Systems |
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91 | (22) |
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92 | (1) |
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93 | (2) |
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6.3 Building Integral Multi-Level Evaluation Model |
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95 | (6) |
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6.4 Designs and Selection of Mixed Intelligent Systems |
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101 | (6) |
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6.5 Development of Evaluation Systems |
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107 | (6) |
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111 | (2) |
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113 | (4) |
| Index |
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117 | |
Tadeusz A. Grzeszczyk is Associate Professor in the Faculty of Management, Warsaw University of Technology, Poland. His research interests include project management, program evaluation, sustainability in management and evaluation, knowledge management systems and artificial intelligence. He has published over a hundred papers on management and economic sciences and several books. He is a member of the Scientific Council of the Polish Economic Society.
Biežāk uzdotie jautājumi par e-grāmatām