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.

What is Decision Support System A decision support system, often known as a DSS, is an information system that assists with the tasks involved in decision-making inside an organization or a business. DSSs are used to service the management, operations, and planning levels of an organization. They assist individuals in making decisions regarding problems that may be subject to rapid change and cannot be easily stated in advance. These types of challenges are known as unstructured and semi-structured decision problems. Decision support systems can either be run entirely by computers, run entirely by humans, or run using a combination of the two. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Decision support system Chapter 2: Knapsack problem Chapter 3: Argument map Chapter 4: Expert system Chapter 5: Predictive analytics Chapter 6: Judge–advisor system Chapter 7: Decision theory Chapter 8: Self-service Chapter 9: Public participation (decision making) Chapter 10: Project management software (II) Answering the public top questions about decision support system. (III) Real world examples for the usage of decision support system in many fields. Who This Book is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of decision support system.

This Book Provides A Systematic Introduction To The Principles Of Decision Support Systems And Data Warehouses.It Covers The Entire Range Of Tools, From Decision Trees To Expert Systems Which Are Now Available For Managerial Decision Making Under Stress And Severe Time Constraints. The Chapters On Data Warehousing And Knowledge Retrieval Cover The Recent Trends In Developing Customer Profiles And Other Useful Information From The Data Available In Enterprises. The Last Chapter, Computer Networks, Provides The Required Information To Managers And Executives For Getting Familiar With The Delivery System Which Has Become Indispensable For Computer Based Information Systems.This Book Will Be Useful To Undergraduate Students Of Computer Science & Information Technology. Managers And Executives Will Also Find This Book A Useful Reference Source.

Plymouth, UK, 23-25 May 2016

This book presents different tools and techniques used for Decision Support Systems (DSS), including decision tree and table, and their modifications, multi-criteria decision analysis techniques, network tools of decision support, and various case-based reasoning methods supported by examples and case studies. Latest developments for each of the techniques have been discussed separately, and possible future research areas are duly identified as intelligent and spatial DSS. Features: Discusses all the major tools and techniques for Decision Support System supported by examples. Explains techniques considering their deterministic and stochastic aspects. Covers network tools including GERT and Q-GERT. Explains the application of both probability and fuzzy orientation in the pertinent techniques. Includes a number of relevant case studies along with a dedicated chapter on software. This book is aimed at researchers and graduate students in information systems, data analytics, operation research, including management and computer science areas.

This book provides an extensive review of three interrelated issues: land fragmentation, land consolidation, and land reallocation, and it presents in detail the theoretical background, design, development and application of a prototype integrated planning and decision support system for land consolidation. The system integrates geographic information systems (GIS) and artificial intelligence techniques including expert systems (ES) and genetic algorithms (GAs) with multi-criteria decision methods (MCDM), both multi-attribute (MADM) and multi-objective (MODM). The system is based on four modules for measuring land fragmentation; automatically generating alternative land redistribution plans; evaluating those plans; and automatically designing the land partitioning plan. The presented research provides a new scientific framework for land-consolidation planning both in terms of theory and practice, by presenting new findings and by developing better tools and methods embedded in an integrated GIS environment. It also makes a valuable contribution to the fields of GIS and spatial planning, as it provides new methods and ideas that could be applied to improve the former for the benefit of the latter in the context of planning support systems. “From the 1960s, ambitious research activities set out to observe regarding IT-support of the complex and time consuming redistribution processes within land consolidation – without any practically relevant results, until now. This scientific work is likely to close that gap. This distinguished publication is highly recommended to land consolidation planning experts, researchers and academics alike.” – Prof. Dr.-Ing. Joachim Thomas, Münster/ Germany "Planning support systems take new scientific tools based on GIS, optimisation and simulation and use these to inform the process of plan-making and policy. This book is one of the first to show how this can be consistently done and it is a triumph of demonstrating how such systems can be made operational. Essential reading for planners, analysts and GI scientists." – Prof. Michael Batty, University College London