Mixed Intelligent Systems Developing Models for Project Management a
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 inte
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Tadeusz A. Grzeszczyk
Mixed Intelligent Systems
Tadeusz A. Grzeszczyk
Mixed Intelligent Systems Developing Models for Project Management and Evaluation
Tadeusz A. Grzeszczyk Warsaw University of Technology Warsaw, Poland
ISBN 978-3-319-91157-1 ISBN 978-3-319-91158-8 (eBook) https://doi.org/10.1007/978-3-319-91158-8 Library of Congress Control Number: 2018942134 © The Editor(s) (if applicable) and The Author(s) 2018 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Cover illustration: Modern building window © saulgranda/Getty Printed on acid-free paper This Palgrave Pivot imprint is published by the registered company Springer International Publishing AG part of Springer Nature. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Contents
1 Introduction 1 References 4 2 Basic Aspects Related to Project Evaluation 5 2.1 Terminology Issues 6 2.2 Project Evaluation Criteria 10 2.3 Systems, Methods, Techniques and Tools in Project Evaluation 13 2.4 Comprehensive and Complex Evaluation Systems 17 2.5 AI Systems for Evaluation 20 2.6 Quantitative Versus Qualitative Methods 22 References 23 3 Quantitative Evaluation Methods 27 3.1 Primary and Secondary Data 28 3.2 Surveys 29 3.3 Statistical Analysis 30 3.4 Quantitative Evaluation Based on AI 35 References 39 4 Qualitative Evaluation Methods 41 4.1 Qualitative Research 42 4.2 Fieldwork Observation 47 v
vi
Contents
4.3 Logic Models 50 4.4 New Qualitative Intelligent Systems 56 References 65 5 Principles of Integrated Evaluation Systems 67 5.1 Philosophical Considerations 68 5.2 The Need for New Paradigms in Evaluation 72 5.3 Systems Approaches in Project Management and Evaluation 75 5.4 Integral Theory and Evaluation Systems 81 5.5 Mixed Systems Studies Introduction 86 R
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