Издательство InTech, 2011, -566 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.
As innovative decision support strategies and computer technology keep continuously evolving in the 21st century, more sophisticated applications of decision support systems (DSS) are created and broadly adopted in diverse domains, to assist administrative professionals in improving decision making and problem solving skills. DSS development heavily relies on fine-tuned methodologies, appropriate semantic representations of knowledge data, and a set of well-trained expert rules in generating reliable decisions. The book seeks to explore empirical methodology developed to address current issues, to define feasible knowledge representations to undergo different data constraints, to validate a useful DSS to applicable domains after satisfactory system assessment, and to explore the practice and challenges of DSS implementation from current to predictable future.
This book is edited as a textbook so that it can be adopted in formal courses examining DSSs. It can be used by undergraduate senior and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference. This book is aimed to introduce the general concepts and methodology of developing DSS and to illustrate their use in a variety of professional fields.
Part 1 Knowledge Representations and Methodology
Semantic Knowledge Representations for Soft Data Fusion
Knowledge Representation and Validation in a Decision Support System: Introducing a Variability Modelling Technique
Decision Support Tools for Ontological Engineering
Data Quality Enhancement Technology to Improve Decision Support
Fine-Grained Diagnostics of Ontologies with Assurance
Common Sense Reasoning in Diagnostic Systems
Part 2 Hybrid Methodology for System Development
Using CBR as Design Methodology for Developing Adaptable Decision Support Systems
Identification of Key Drivers of Net Promoter Score Using a Statistical Classification Model
The Declarative Framework Approach to Decision Support for Constrained Search Problems
Generic Model Base Design for Decision Support Systems in Revenue Management: Applications to Hotel and Health Care Sectors
An Efficient Failure-Based Maintenance Decision Support System for Smalland Medium Industries
Arguing over Goals for Negotiation: Adopting an Assumption-Based Argumentation Decision Support System
Academic Orientation Supported by Hybrid Intelligent Decision Support System
GMAA: A DSS Based on the Decision Analysis Methodology - Application Survey and Further Developments
Part 3 Multidisciplinary Case Studies
Decision Support Systems in Agriculture: Some Successes and a Bright Future
Decision Support Systems in Agriculture: Administration of Meteorological Data, Use of Geographic Information Systems(GIS) and Validation Methods in Crop Protection Waing Service
Determination of Effective Policies for Ecological Agriculture Development with System Dynamics and Agent Based Models – Case Study in Slovenia
Web-Based Decision Support for Sustainable Pest Management in Fruit Orchards: Development of the Swiss System SOPRA
The Volatility and Growth Trend of Field Production Mechanization Level in China - A Positive Analysis Based on Hodrick-Prescott Method
Development of Multi-Componential Decision Support System in Dynamically Changing Application Domain of Environment Protection
Decision Support Systems in Water Resources Planning and Management: Stakeholder Participation and the Sustainable Path to Science-Based Decision Making
Decision Support System for Biebrza National Park
Interactive Localisation System for Urban Planning Issues
Design and Development of a Compound DSS for Laboratory Research
Decision Support System for Designing with Polymer Materials – Current Challenges and Future Expectations
Decision Support System for Sustainability Assessment of Power Generation Technologies
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.
As innovative decision support strategies and computer technology keep continuously evolving in the 21st century, more sophisticated applications of decision support systems (DSS) are created and broadly adopted in diverse domains, to assist administrative professionals in improving decision making and problem solving skills. DSS development heavily relies on fine-tuned methodologies, appropriate semantic representations of knowledge data, and a set of well-trained expert rules in generating reliable decisions. The book seeks to explore empirical methodology developed to address current issues, to define feasible knowledge representations to undergo different data constraints, to validate a useful DSS to applicable domains after satisfactory system assessment, and to explore the practice and challenges of DSS implementation from current to predictable future.
This book is edited as a textbook so that it can be adopted in formal courses examining DSSs. It can be used by undergraduate senior and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference. This book is aimed to introduce the general concepts and methodology of developing DSS and to illustrate their use in a variety of professional fields.
Part 1 Knowledge Representations and Methodology
Semantic Knowledge Representations for Soft Data Fusion
Knowledge Representation and Validation in a Decision Support System: Introducing a Variability Modelling Technique
Decision Support Tools for Ontological Engineering
Data Quality Enhancement Technology to Improve Decision Support
Fine-Grained Diagnostics of Ontologies with Assurance
Common Sense Reasoning in Diagnostic Systems
Part 2 Hybrid Methodology for System Development
Using CBR as Design Methodology for Developing Adaptable Decision Support Systems
Identification of Key Drivers of Net Promoter Score Using a Statistical Classification Model
The Declarative Framework Approach to Decision Support for Constrained Search Problems
Generic Model Base Design for Decision Support Systems in Revenue Management: Applications to Hotel and Health Care Sectors
An Efficient Failure-Based Maintenance Decision Support System for Smalland Medium Industries
Arguing over Goals for Negotiation: Adopting an Assumption-Based Argumentation Decision Support System
Academic Orientation Supported by Hybrid Intelligent Decision Support System
GMAA: A DSS Based on the Decision Analysis Methodology - Application Survey and Further Developments
Part 3 Multidisciplinary Case Studies
Decision Support Systems in Agriculture: Some Successes and a Bright Future
Decision Support Systems in Agriculture: Administration of Meteorological Data, Use of Geographic Information Systems(GIS) and Validation Methods in Crop Protection Waing Service
Determination of Effective Policies for Ecological Agriculture Development with System Dynamics and Agent Based Models – Case Study in Slovenia
Web-Based Decision Support for Sustainable Pest Management in Fruit Orchards: Development of the Swiss System SOPRA
The Volatility and Growth Trend of Field Production Mechanization Level in China - A Positive Analysis Based on Hodrick-Prescott Method
Development of Multi-Componential Decision Support System in Dynamically Changing Application Domain of Environment Protection
Decision Support Systems in Water Resources Planning and Management: Stakeholder Participation and the Sustainable Path to Science-Based Decision Making
Decision Support System for Biebrza National Park
Interactive Localisation System for Urban Planning Issues
Design and Development of a Compound DSS for Laboratory Research
Decision Support System for Designing with Polymer Materials – Current Challenges and Future Expectations
Decision Support System for Sustainability Assessment of Power Generation Technologies