EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book Modeling for Decision Support in Network Based Services

Download or read book Modeling for Decision Support in Network Based Services written by Daniel Dolk and published by Springer Science & Business Media. This book was released on 2012-01-16 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book originated from several recent workshops and related activities conducted by the IFIP Working Group 7.6 on "Optimization-Based Computer Aided Modeling and Design." This group has been active for 20 years with the stated objective of developing ”high-performance computer-aided systems to support modeling, decision analysis, optimization and multi-criteria decision making.” Recently, the group has turned its attention to the application of modeling and optimization to service science, management and engineering (SSME). SSME is still a young research field searching for its theoretical underpinnings, and one which offers many opportunities for analytical modeling to not only advance the understanding, but also to help form the foundation of a new discipline. This book is the result of the group's introductory foray into the application of quantitative modeling to the nascent field of service science with special emphasis on the network aspects of services. The 11 papers presented are grouped into sections on Network Science, Comptational and Analytical Modeling, and Knowledge Science. They showcase the value of modeling in a new and timely context and provide many seeds for further exciting research.

Book Modeling for Decision Support in Network Based Services

Download or read book Modeling for Decision Support in Network Based Services written by Daniel Dolk and published by Springer. This book was released on 2012-01-11 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book originated from several recent workshops and related activities conducted by the IFIP Working Group 7.6 on "Optimization-Based Computer Aided Modeling and Design." This group has been active for 20 years with the stated objective of developing ”high-performance computer-aided systems to support modeling, decision analysis, optimization and multi-criteria decision making.” Recently, the group has turned its attention to the application of modeling and optimization to service science, management and engineering (SSME). SSME is still a young research field searching for its theoretical underpinnings, and one which offers many opportunities for analytical modeling to not only advance the understanding, but also to help form the foundation of a new discipline. This book is the result of the group's introductory foray into the application of quantitative modeling to the nascent field of service science with special emphasis on the network aspects of services. The 11 papers presented are grouped into sections on Network Science, Comptational and Analytical Modeling, and Knowledge Science. They showcase the value of modeling in a new and timely context and provide many seeds for further exciting research.

Book Research Anthology on Decision Support Systems and Decision Management in Healthcare  Business  and Engineering

Download or read book Research Anthology on Decision Support Systems and Decision Management in Healthcare Business and Engineering written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-05-28 with total page 1538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.

Book Handbook on Decision Support Systems 1

Download or read book Handbook on Decision Support Systems 1 written by Frada Burstein and published by Springer Science & Business Media. This book was released on 2008-01-22 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision support systems have experienced a marked increase in attention and importance over the past 25 years. The aim of this book is to survey the decision support system (DSS) field – covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues. It will serve as a basic reference work for DSS research, practice, and instruction. To achieve these goals, the book has been designed according to a ten-part structure, divided in two volumes with chapters authored by well-known, well-versed scholars and practitioners from the DSS community.

Book A Framework for a Distributed Decision Support Network

Download or read book A Framework for a Distributed Decision Support Network written by Dan S. McQuay and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis develops a concept for integrating decision support technologies with global computer networks. It introduces a new paradigm for the distribution and use of algorithms, decision support applications, models, and simulations. Under this paradigm, all mechanisms to allow for interactions between providers of technologies and consumers who wish to use them are facilitated by a distributed decision support server. Additionally, this thesis analyzes the concept of distributing decision technologies as a service vice a software product. It develops the initial framework architecture and proposes an infrastructure for a distributed decision support network. Decision support systems have traditionally been developed as stand alone applications which conform to a specific users hardware and software requirements. This leads to reduced sharing and reuse of the application as well as the data, models, and algorithms incorporated within the application. The Internet, WwW, and enabling technologies allow for the dissemination of multimedia information to support diverse groups of remote users. This thesis demonstrates that decision support technologies can also be made available to users of a heterogeneous network in a similar manner.

Book Building Decision Support Systems

Download or read book Building Decision Support Systems written by John L. Bennett and published by Addison Wesley Publishing Company. This book was released on 1983 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Decision Support Systems

Download or read book Decision Support Systems written by Daniel Power and published by iUniverse. This book was released on 2004-12-21 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Support Systems: Frequently Asked Questions is the authoritative reference guide to computerized Decision Support Systems. Author Dan Power has spent almost 30 years building, studying and teaching others about computerized Decision Support Systems. Dr. Power is first and foremost a Decision Support evangelist and generalist. From his vantage point as editor of DSSResources.COM, he tracks a broad range of contemporary DSS topics. In this DSS FAQ, Dr. Power answers 83 frequently asked questions about computerized decision support systems. The FAQ covers a broad range of contemporary topics and the questions are organized into 8 chapters. DSS FAQ helps readers understand questions like: What is a DSS? What kind of DSS does Mr. X need? Does data modeling differ for a Data-Driven DSS? Is a Data Warehouse a DSS? Is tax preparation software an example of a DSS? What do I need to know about Data Warehousing/OLAP? What is a cost estimation DSS? What is a Spreadsheet-based DSS? Decision Support Systems: Frequently Asked Questions is a useful resource for IT specialists, students, professors and managers. It organizes important Ask Dan! questions (with answers) published in DSS News from 2000 through 2004.

Book Decision Making Using Social Network Analysis and Topic Modeling in Service Firms

Download or read book Decision Making Using Social Network Analysis and Topic Modeling in Service Firms written by Jin Fang and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A service firm is a business that makes its facilities available to others for a fee. Nowadays, many of the management tools and techniques that people use cannot meet the challenges of complex decision-making problems in service firms. This dissertation, therefore, explores two research streams, service firm selection, and service technology planning. The first research stream, the service firm selection problem, is to identify the optimal service firm, which satisfies several predefined selection factors. This selection process typically includes two major stages. During the first stage, the selection criteria identify a limited number of candidate service firms. The second stage involves a detailed examination of candidate service firms to find the most appropriate one. Understanding how to optimize decisions in each of these two selection stages motivates this dissertation's first and second parts. The first part of the dissertation focuses on the first stage of service firm selection, "how to determine the selection criteria in the decision-making problems." The model is developed based on latent Dirichlet allocation (LDA) and the analytic hierarchy process (AHP). We validate our model by comparing the ranking results with reviews in TripAdvisor.com. The second part of the dissertation is relevant to the second stage, "how to select the optimal service firm." We build a network model based on data envelopment analysis (DEA) and the weighted hyperlink-induced topic search (HITS) algorithm and demonstrate its applicability by case analysis. The second research stream, the service technology planning problem, strategically selects technologies to invest in the service firm, which is discussed in the third part of this dissertation. We construct a network model based on HITS and PageRank algorithms and then present its application with a numerical example.

Book A Framework for a Distributed Decision Support Network

Download or read book A Framework for a Distributed Decision Support Network written by Dan S. McQuay and published by . This book was released on 1995 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis develops a concept for integrating decision support technologies with global computer networks. It introduces a new paradigm for the distribution and use of algorithms, decision support applications, models, and simulations. Under this paradigm, all mechanisms to allow for interactions between providers of technologies and consumers who wish to use them are facilitated by a distributed decision support server. Additionally, this thesis analyzes the concept of distributing decision technologies as a service vice a software product. It develops the initial framework architecture and proposes an infrastructure for a distributed decision support network. Decision support systems have traditionally been developed as stand alone applications which conform to a specific users hardware and software requirements. This leads to reduced sharing and reuse of the application as well as the data, models, and algorithms incorporated within the application. The Internet, WwW, and enabling technologies allow for the dissemination of multimedia information to support diverse groups of remote users. This thesis demonstrates that decision support technologies can also be made available to users of a heterogeneous network in a similar manner.

Book Agent Based Modelling of Socio Technical Systems

Download or read book Agent Based Modelling of Socio Technical Systems written by Koen H. van Dam and published by Springer Science & Business Media. This book was released on 2012-10-09 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.

Book Decision Support Systems The International Journal

Download or read book Decision Support Systems The International Journal written by and published by . This book was released on 1997 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Slam II

    Book Details:
  • Author : A. Alan B. Pritsker
  • Publisher : Thomson South-Western
  • Release : 1994
  • ISBN : 9780894262487
  • Pages : 582 pages

Download or read book Slam II written by A. Alan B. Pritsker and published by Thomson South-Western. This book was released on 1994 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Decision Support Systems

Download or read book Decision Support Systems written by Chiang Jao and published by BoD – Books on Demand. This book was released on 2010-01-01 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate 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.

Book Fundamentals of Clinical Data Science

Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben and published by Springer. This book was released on 2018-12-21 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Book Model Based Decision Support Methodology with Environmental Applications

Download or read book Model Based Decision Support Methodology with Environmental Applications written by Andrzej P. Wierzbicki and published by Springer. This book was released on 2010-12-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complexity of issues requiring rational decision making grows and thus such decisions are becoming more and more difficult, despite advances in methodology and tools for decision support and in other areas of research. Globalization, interlinks between environmental, industrial, social and political issues, and rapid speed of change all contribute to the increase of this complexity. Specialized knowledge about decision-making processes and their support is increasing, but a large spectrum of approaches presented in the literature is typically illustrated only by simple examples. Moreover, the integration of model-based decision support methodologies and tools with specialized model-based knowledge developed for handling real problems in environmental, engineering, industrial, economical, social and political activities is often not satisfactory. Therefore, there is a need to present the state of art of methodology and tools for development of model-based decision support systems, and illustrate this state by applications to various complex real-world decision problems. The monograph reports many years of experience of many researchers, who have not only contributed to the developments in operations research but also succeeded to integrate knowledge and craft of various disciplines into several modern decision support systems which have been applied to actual complex decision-making processes in various fields of policy making. The experience presented in this book will be of value to researchers and practitioners in various fields. The issues discussed in this book gain in importance with the development of the new era of the information society, where information, knowledge, and ways of processing them become a decisive part of human activities. The examples presented in this book illustrate how how various methods and tools of model-based decision support can actually be used for helping modern decision makers that face complex problems. Overview of the contents: The first part of this three-part book presents the methodological background and characteristics of modern decision-making environment, and the value of model-based decision support thus addressing current challenges of decision support. It also provides the methodology of building and analyzing mathematical models that represent underlying physical and economic processes, and that are useful for modern decision makers at various stages of decision making. These methods support not only the analysis of Pareto-efficient solutions that correspond best to decision maker preferences but also allow the use of other modeling concepts like soft constraints, soft simulation, or inverse simulation. The second part describes various types of tools that are used for the development of decision support systems. These include tools for modeling, simulation, optimization, tools supporting choice and user interfaces. The described tools are both standard, commercially available, and nonstandard, public domain or shareware software, which are robust enough to be used also for complex applications. All four environmental applications (regional water quality management, land use planning, cost-effective policies aimed at improving the European air quality, energy planning with environmental implications) presented in the third part of the book rely on many years of cooperation between the authors of the book with several IIASA's projects, and with many researchers from the wide IIASA network of collaborating institutions. All these applications are characterized by an intensive use of model-based decision support. Finally, the appendix contains a short description of some of the tools described in the book that are available from IIASA, free of charge, for research and educational purposes. The experiences reported in this book indicate that the development of DSSs for strategic environmental decision making should be a joint effort involving experts in the subject area, modelers, and decision support experts. For the other experiences discussed in this book, the authors stress the importance of good data bases, and good libraries of tools. One of the most important requirements is a modular structure of a DSS that enhances the reusability of system modules. In such modular structures, user interfaces play an important role. The book shows how modern achievements in mathematical programming and computer sciences may be exploited for supporting decision making, especially about strategic environmental problems. It presents the methodological background of various methods for model-based decision support and reviews methods and tools for model development and analysis. The methods and tools are amply illustrated with extensive applications. Audience: This book will be of interest to researchers and practitioners in the fields of model development and analysis, model-based decision analysis and support, (particularly in the environment, economics, agriculture, engineering, and negotiations areas) and mathematical programming. For understanding of some parts of the text a background in mathematics and operational research is required but several chapters of the book will be of value also for readers without such a background. The monograph is also suitable for use as a text book for courses on advanced (Master and Ph.D.) levels for programs on Operations Research, decision analysis, decision support and various environmental studies (depending on the program different parts of the book may be emphasized).