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Efficient Decision Support Systems: Challenges From Current to Future, 542 Pages

http://www.thuvienso.info 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 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 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. Section 1, including Chapter 1 through 7, presents the concept of knowledge representations and emerging methodology to develop useful DSS. Chapter 1 first reviews the DSS development methodologies that are classified as three categories based on their conceptual, technical and human factors. Following systematic analysis of comparative studies of nine DSS development processes, the readers can effectively identify the required characteristics of software development methodologies in order to build a state-of-art DSS.
Chapter 2 aims at the issue of soft data fusion and focuses on one possible approach that allows taking into account the discrepancies observed among different pieces of data. With an overview of “soft data” characteristics in DSS, also soft data representation and fusion are outlined as several semantic   representation formalisms such as semantic nets, ontologies and conceptual graphs. A case study is presented to validate the validity and usefulness of this empirical approach. Chapter 3 deals with the issue of representing and validating the knowledge objects in a DSS in order to facilitate knowledge management tasks. Variability knowledge representation can allow the construction of decision repository with decision points and choices, and the validation of decision repository and decision making process. It provides automatic support for five operations needed in knowledge validation.

Nguồn : Internet
Tác giả : Chiang Jao
Kiểu tập tin : PDF
Độ lớn tập tin : 27MB
Đăng bởi : Blue Dragon
Cập nhật : 22.10.2011
Số lượt xem : 390
Số lượt tải : 2


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