DECISION SUPPORT SYSTEMS Edited by Chiang Jao Decision Support Systems http://dx.doi.org/10.5772/3371 Edited by Chiang Jao Contributors Thomas M Hemmerling, Kaya Kuru, Yusuf Tunca, Ramdane Hedjar, Victor E Cabrera, Po-Hsun Cheng, Heng-Shuen Chen, Hsin-Ciang Chang, Wen-Chen Chiang, Gabriela Prelipcean, Mircea Boscoianu, María Teresa Lamelas, Oswald Marinoni, Juan de la Riva, Andreas Hoppe, Edward Lusk, Monica Adya, Luciene Delazari, Leo Van Raamsdonk, Christine Chan Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. 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Publishing Process Manager Dragana Manestar Technical Editor InTech DTP team Cover InTech Design team First published October, 2012 Printed in Croatia A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechopen.com Decision Support Systems, Edited by Chiang Jao p. cm. ISBN 978-953-51-0799-6 free online editions of InTech Books and Journals can be found at www.intechopen.com Contents Preface VII Section 1 Biomedical Applications 1 Chapter 1 Whether Moving Suicide Prevention Toward Social Networking: A Decision Support Process with XREAP Tool 3 Po-Hsun Cheng, Heng-Shuen Chen, Wen-Chen Chiang and Hsin- Ciang Chang Chapter 2 Decision Support Systems in Medicine - Anesthesia, Critical Care and Intensive Care Medicine 17 Thomas M. Hemmerling, Fabrizio Cirillo and Shantale Cyr Chapter 3 Reliability and Evaluation of Identification Models Exemplified by a Histological Diagnosis Model 51 L.W.D. van Raamsdonk, S. van der Vange, M. Uiterwijk and M. J. Groot Chapter 4 Diagnostic Decision Support System in Dysmorphology 67 Kaya Kuru and Yusuf Tunca Section 2 Business Applications 89 Chapter 5 Emerging Applications of the New Paradigm of Intelligent Decision Making Process: Hybrid Decision Support Systems for Virtual Enterprise (DSS-VE) 91 Gabriela Prelipcean and Mircea Boscoianu Chapter 6 Optimal Control of Integrated Production – Forecasting System 117 R. Hedjar, L. Tadj and C. Abid Section 3 Technological Applications in Management and Forecast 141 Chapter 7 DairyMGT: A Suite of Decision Support Systems in Dairy Farm Management 143 Victor E. Cabrera Chapter 8 Designing Effective Forecasting Decision Support Systems: Aligning Task Complexity and Technology Support 173 Monica Adya and Edward J. Lusk Chapter 9 Comparison of Multicriteria Analysis Techniques for Environmental Decision Making on Industrial Location 197 M.T. Lamelas, O. Marinoni, J. de la Riva and A. Hoppe Chapter 10 Semi-Automatic Semantic Data Classification Expert System to Produce Thematic Maps 223 Luciene Stamato Delazari, André Luiz Alencar de Mendonça, João Vitor Meza Bravo, Mônica Cristina de Castro, Pâmela Andressa Lunelli, Marcio Augusto Reolon Schmidt and Maria Engracinda dos Santos Ferreira Chapter 11 Towards Developing a Decision Support System for Electricity Load Forecast 247 Connor Wright, Christine W. Chan and Paul Laforge ContentsVI Preface Pacing through second decade of the 21th century, more computer users are widely adopting technology-based tools and information-enriched databases to focus on supporting managerial decision making, reducing preventable faults and improving outcome forecasting. The goal of decision support systems (DSS) is to develop and deploy information technology-based systems in supporting efficient practice in multidiscipline domains. This book aims to portray a pragmatic perspective of applying DSS in the 21th century. It covers diverse applications of DSS, primarily focusing on the resource management and outcome forecast. Our goal was to provide the broad understanding of DSS and illustrate their practical applications in a variety of fields related to real life. Chiang Jao Chief Biomedical Informaticist, Tranformation Inc, USA Section 1 Biomedical Applications [...]... eliciting requirements, it can be‐ come a supplement to improve the decision- making quality for decision- makers Normally, it is necessary for decision- makers to refer the decision- making guidelines that are gathered by other decision- makers As the popularity of the Internet, it is possible for decision- mak‐ ers to share and revise their decision- making guidelines in the cloud Based on the knowl‐ edge... complexity assessment, and decision- making guidelines 11 12 Decision Support Systems 5.1 Limitation of the XREAP tool As the utilization of the XREAP tool to make some decisions for several projects, we found some pros and cons They are listed in Table 3 for the analyst further reference Further‐ more, the XREAP tool owns some limitations For example, the mind brainstorm function supports graphical user... knowledge through the network That is, if the decision- mak‐ ing guidelines are utilized and revised by most decision- makers, then the optimal decisionmaking process will be generated 6 Conclusion It is a smart behaviour for decision- makers to spend more time to realize the whole views of the problems and solutions before they make wise decisions However, an effective decision analysis tool is hard to obtain... Decision Support Systems Supporting Au‐ tomation for End Users In: Qian Z , Cao L , Su W , Wang T , and Yang H (ed ) Environmental Software Systems, Frameworks of Environment, IFIP Advances in In‐ formation and Communication Technology, Vol 359 New York: Springer;2011 p 51-63 [14] Shafiei F , Sundaram D and Piramuthu S Multi-enterprise Collaborative Decision Support System Expert Systems with Applications... decision- making”[19] Developing information and decision technology support systems for these skills also means to significantly improve the quality, flow, and efficiency of medical performance [20] This chapter will focus on DSSs for anesthesiologists and critical care specialists in different areas: perioperative management, the emergency and intensive care medicine 2 Decision support systems for anesthesia in the... medical-oriented, but also technology-oriented This chapter illustrates an explicit decision support process for management of software re‐ quirements elicitation and analysis As Shi, et al [15] illustrates their research outcomes by utilizing the Unified Modeling Language (UML) as the basis of their decision support sys‐ tem to help decision- makers to distinguish regional environmental risk zones Similarly,... elicitation Fundamentally, the requirements elicitation is the first phase in our decision- making proc‐ ess As most of the decision- makers known, the higher ratio of requirements elicitation is ob‐ tained, the better quality of decision- making will be executed If decision- makers are eager for the highest quality of their decision- making, it is necessary for them to try to focus on the requirements elicitation... reproduction in any medium, provided the original work is properly cited 4 Decision Support Systems (XREAP) [5] , is revised from part of the use case driven approach [7] [9] Therefore, it is nec‐ essary for an analyst to understand the UML [8] visualization knowledge On the other hand, Perini and Susi extend their decision support system research to the en‐ vironmental modelling and software field... his team members develop a mul‐ ti-enterprise collaborative decision support system for supply-chain management and show their idea is feasible This evidence shows that the collaborative knowledge sharing is a pos‐ sible route to promote the quality of the decision- making Further, Cercone and his partners predict that their e-Health decision support system can find and verify evidence from multi‐ ple... Evidencebased Best Practice Recommendations in Health Care: The Initial Decision Support System Design Knowledge and Information Systems 2011; 29(1)159-201 [4] Cheng PH , Chen SJ , LaiJS and Lai F A Collaborative Knowledge Management Process for Implementing Healthcare Enterprise Information Systems IEICE Trans‐ actions on Information and Systems 2008; E91-D(6) 1664-1672 [5] Cheng PH , Chang HC and Chang . Suite of Decision Support Systems in Dairy Farm Management 143 Victor E. Cabrera Chapter 8 Designing Effective Forecasting Decision Support Systems: Aligning Task Complexity and Technology Support. DECISION SUPPORT SYSTEMS Edited by Chiang Jao Decision Support Systems http://dx.doi.org/10.5772/3371 Edited by Chiang Jao Contributors Thomas. Toward Social Networking: A Decision Support Process with XREAP Tool 3 Po-Hsun Cheng, Heng-Shuen Chen, Wen-Chen Chiang and Hsin- Ciang Chang Chapter 2 Decision Support Systems in Medicine - Anesthesia,