Intelligent Decision Support Systems- A Framework

Information technology applications that support decision-making processes and problem- solving activities have thrived and evolved over the past few decades. This evolution led to many different types of Decision Support System (DSS) including Intelligent Decision Support System (IDSS). IDSS include domain knowledge, modeling, and analysis systems to provide users the capability of intelligent assistance which significantly improves the quality of decision making. IDSS includes knowledge management component which stores and manages a new class of emerging AI tools such as machine learning and case-based reasoning and learning. These tools can extract knowledge from previous data and decisions which give DSS capability to support repetitive, complex real-time decision making.  This paper attempts to assess the role of IDSS in decision making. First, it explores the definitions and understanding of DSS and IDSS. Second, this paper illustrates a framework of IDSS along with various tools and technologies that support it. Keywords: Decision Support Systems, Data Warehouse, ETL, Data Mining, OLAP, Groupware, KDD, IDS

A LIFE-CYCLE BENEFIT/COST ANALYSIS FRAMEWORK FOR ITS DEPLOYMENTS

The primary objective of Transportation Systems Management and Operation (TSM&O) strategies, or Intelligent Transportation Systems (ITS) is to optimize the capacity of existing transportation infrastructure by reducing congestion. Over past decades, agencies and researchers investigated the use of various strategies such as deployment of adaptive traffic control systems (ATCS), ramp metering systems (RMS), surveillance through closed circuit TV (CCTV) cameras, and information sharing systems to achieve this objective. Life Cycle Agency Cost Agency Analysis (LCCA) of various alternative intelligent transportation strategies has received particular attention to identify the strategy with the lowest cost. However, increasing concerns over the impacts of transportation systems on nearby communities as well as the environment are urging decision makers to consider the environmental impacts of various TSM&O strategies in addition to user costs. Sustainability refers to a long-term perspective of economic, social and environmental progress, which not only addresses the present conditions but also includes the needs of future generations. In United States, due to its vastness, transportation infrastructure can be considered as “major contributors of sustainability”. The triple bottom line of sustainability (TBL), if incorporated in TSM&O strategies decision-making, can address issues like climate change, environmental protection, funds optimization, and social equity. The work for this dissertation focuses on developing a comprehensive Life Cycle Benefit/Cost (LCB/C) analysis framework to evaluate existing and anticipated intelligent ITS strategies, particularly, adaptive traffic control systems (ATCS) and ramp metering systems (RMS), in terms of the triple bottom line (TBL) of sustainability. The B/C framework for each ITS category was divided into two main categories: Life Cycle Cost Analysis (LCCA) and Life Cycle Benefit Analysis (LCBA). The LCCA of ITS deployment includes initial infrastructure cost, periodical incremental cost, and O&M cost. A typical service life and interest rate are assumed for each ITS. For the benefits analysis, three main research areas are included. Conducted by the triple bottom line principal, the LCBA section is divided into analysis of benefits through travel time savings, reductions in energy consumption, and safety enhancements. ITS are known to have several advantages such as increasing link capacity, accelerating traffic flow, reducing delay and congestion, decreasing safety concerns, and in turn minimizing environmental and socio-economic impacts associated with affected traffic zones. However, it comes with its own share of disadvantages, like higher initial infrastructure cost and periodical incremental cost, design complexity, and challenges lie in operation and maintenance. Meanwhile, it is hard to evaluate the benefit/cost performance of ITS implementation over the service life span. The purpose of this study is to prepare such comprehensive benefit/cost framework, as well as the corresponding decision support tool featuring data obtained from national averages. The tool is spreadsheet based and it is easily customizable. The tool also generates graphical outputs as visual summaries. The framework and tool, will help decision makers to assess the overall performance of ITS from perspectives of long term costs and triple bottom line benefits, then opt for the most suitable alternatives from the life cycle point of view

A Qualitative Method for Assessing the Impact of ICT on the Architectural Design Process

During the last thirty years or so, we have witnessed tremendous developments in information and communication technology (ICT). Computer processing power doubles each 18 months, as Gordon Moore predicted during the mid-1960s. The computer and communications world has been revolutionised by the invention of the Internet. It has changed the way of exchanging, viewing, sharing, manipulating and storing the information. Other technologies such as smartphones, wearable computers, tablets, wireless communications and satellite communications have made the adoption of ICT easier and beneficial to all its users. ICT affects the productivity, performance and the competitive advantage of a business. It also impacts on the shape of the business process and its product. In architectural design, ICT is widely used throughout the design process and its final product. The aim of this research, therefore, is to explore the key implication of using ICT in architectural design and what new changes and forms have occurred on buildings as a result of ICT developments and use by architecture practitioners. To achieve this aim, a qualitative research approach was adopted using a narrative review of ICT usage in the design of buildings. The literature found was subjected to a thematic analysis of how ICT adoption affected the architectural design process. The findings of this research indicate that there is a continuous change in the design process and its final products (buildings) as the technology evolves. The framework proposed provides a foundation for gathering evidence from case studies of the impact of ICT adoption by architectural designers. The research proposes that future empirical work has to be conducted to test and refine the relevance, importance and applicability of each of the components of the framework, in order to detect the impact of ICT on the building design process and its final product

An agent-based approach to assess drivers’ interaction with pre-trip information systems.

This article reports on the practical use of a multi-agent microsimulation framework to address the issue of assessing drivers’ responses to pretrip information systems. The population of drivers is represented as a community of autonomous agents, and travel demand results from the decision-making deliberation performed by each individual of the population as regards route and departure time. A simple simulation scenario was devised, where pretrip information was made available to users on an individual basis so that its effects at the aggregate level could be observed. The simulation results show that the overall performance of the system is very likely affected by exogenous information, and these results are ascribed to demand formation and network topology. The expressiveness offered by cognitive approaches based on predicate logics, such as the one used in this research, appears to be a promising approximation to fostering more complex behavior modelling, allowing us to represent many of the mental aspects involved in the deliberation process

User-centered visual analysis using a hybrid reasoning architecture for intensive care units

One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events). This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems. We present a knowledge- and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods. Its potential benefit to the development of user interfaces for intelligent monitors that can assist with the detection and explanation of new, potentially threatening medical events. The proposed hybrid reasoning architecture provides an interactive graphical user interface to adjust the parameters of the analytical methods based on the users' task at hand. The action sequences performed on the graphical user interface by the user are consolidated in a dynamic knowledge base with specific hybrid reasoning that integrates symbolic and connectionist approaches. These sequences of expert knowledge acquisition can be very efficient for making easier knowledge emergence during a similar experience and positively impact the monitoring of critical situations. The provided graphical user interface incorporating a user-centered visual analysis is exploited to facilitate the natural and effective representation of clinical information for patient care

Layered evaluation of interactive adaptive systems : framework and formative methods

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Supporting public decision making in policy deliberations: An ontological approach

This is the post-print version of the Paper. The official published version can be accessed from the link below - Copyright @ 2011 SpringerSupporting public decision making in policy deliberations has been a key objective of eParticipation which is an emerging area of eGovernment. EParticipation aims to enhance citizen involvement in public governance activities through the use of information and communication technologies. An innovative approach towards this objective is exploiting the potentials of semantic web technologies centred on conceptual knowledge models in the form of ontologies. Ontologies are generally defined as explicit human and computer shared views on the world of particular domains. In this paper, the potentials and benefits of using ontologies for policy deliberation processes are discussed. Previous work is then extended and synthesised to develop a deliberation ontology. The ontology aims to define the necessary semantics in order to structure and interrelate the stages and various activities of deliberation processes with legal information, participant stakeholders and their associated arguments. The practical implications of the proposed framework are illustrated.This work is funded by the European Commission under the 2006/1 eParticipation call