Математика
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Jao C.S. (ed.) Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains
Издательство InTech, 2011, -490 pp.

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues.
This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped by the decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers. This book series is dedicated to support professionals and series readers in the emerging field of DSS.
Clinical decision support systems (CDSSs) are computer-based applications that can effectively assist clinical practitioners and healthcare providers in decision making to improve their clinical practice skills and reduce preventable medical errors. A popular example of CDSSs is computerized physician order entry (CPOE) systems that provide patient-specific recommendations, collaborate active problems on the problem list with prescribed medications on the medication list, attach care reminders and alerts to the charts of patients in electronic health records, link laboratory test data to alert physicians while atypical values are detected.
Book Volume 2 extends the applications of decision support systems (DSSs) to regulate various resources in dealing with business, water resource, agriculture, space, risks/crisis, and other interdisciplinary issues. Design and development of such hybrid types of DSSs need to integrate interdisciplinary knowledge, resource data, as well as a variety of surrounding interdisciplinary parameters (for example behavioral-, economic-, environmental-, and social-related factors) and to effectively improve resource management. This book can be used in case-study courses related to decision support systems (DSSs). It may be used by both undergraduate senior and graduate students from diverse computer-related fields. After reading this book, the readers should be able to draw a clear picture about how to apply DSSs in multidisciplinary fields. It will also assist professionals in business, spatial, agricultural, aviation and other non-biomedical fields for self-study or reference.

Part 1 Applications in Business
Application of Decision Support System in Improving Customer Loyalty: From the Banking Perspectives
Intelligent Agent Technology in Mode Production and Trade Management
Modeling Stock Analysts Decision Making: An Intelligent Decision Support System
Business Intelligence – CDMB – Implementing BI-CMDB to Lower Operation Cost Expenses and Satisfy Increasing User Expectations
Decision Support Systems Application to Business Processes at Enterprises in Russia
Intelligence Decision Support Systems in E-commerce
Quick Response in a Continuous-Replenishment-Programme Based Manufacturer Retailer Supply Chain
Collaboration in Decision Making: A Semi-Automated Support for Managing the Evolution of Virtual Enterprises
A Lean Balanced Scorecard Using the Delphi Process: Enhancements for Decision Making
Part 2 Applications in Water Resource Management
Linking a Developed Decision Support System with Advanced Methodologies for Optimized Agricultural Water Delivery
Estimating the Impact on Water Quality under Alteate Land Use Scenarios: A Watershed Level BASINS-SWAT Modeling in West Georgia, United States 2
Flood Progression Modelling and Impact Analysis
Providing Efficient Decision Support for Green Operations Management: An Integrated Perspective
Part 3 Applications in Agriculture
Uncertainty Analysis Using Fuzzy Sets for Decision Support System
A Web-Based Decision Support System for Surface Irrigation Design
Part 4 Applications in Spatial Management
A Decision Support System (FMOTS) for Location Decision of Taxicab Stands
ensor Network and GeoSimulation: Keystones for Spatial Decision Support Systems
Part 5 Applications in Risk and Crisis Management
merging Applications of Decision Support Systems (DSS) in Crisis Management
Risk Analysis and Crisis Scenario Evaluation in Critical Infrastructures Protection
Part 6 Miscellaneous Case Studies
Applications of Decision Support System in Aviation Maintenance
Evaluating the Power Consumption in Carbonate Rock Sawing Process
by Using FDAHP and TOPSIS Techniques
A Supporting Decisions Platform for the Design and Optimization of a Storage Industrial System
Challenges in Climate-Driven Decision Support Systems in Forestry
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