An Overview of Intelligent Decision Systems

1989 ◽  
Vol 4 (3) ◽  
pp. 123-135
Author(s):  
Daniel T. Lee
Keyword(s):  
Knowledge Representation ◽  
System Integration ◽  
Systematic Analysis ◽  
Decision Systems ◽  
Intelligent Decision ◽  
Hybrid Knowledge ◽  
Modelling Techniques ◽  
The Subject ◽  
Intelligent Decision Systems ◽  
Major Emphasis

System integration has been the goal for both academicians and practitioners for more than two decades. Tremendous efforts have been made toward the achievement of a unifying theory or at least a framework in system integration. Unfortunately, the goal has not been achieved because of the dynamic nature of the subject. The purpose of this paper is to conduct a systematic analysis of the related subjects in system integration and to develop a framework which can be used to guide researchers and practitioners in system integration development. Traditional data modelling techniques and knowledge representation methodologies will be reviewed first. Major emphasis will be placed on object-oriented system integration and hybrid knowledge representation methods for developing an integrated intelligent decision system for next generation decision making.

Object-Oriented Application on Data Modelling and Knowledge Representation: A System Integration Approach

1989 ◽  
Vol 4 (4) ◽  
pp. 205-215
Author(s):  
Daniel T. Lee
Keyword(s):  
Knowledge Representation ◽  
System Integration ◽  
Object Oriented ◽  
Integrated Systems ◽  
Data Modelling ◽  
Integration Approach ◽  
Two Systems ◽  
Modelling Techniques ◽  
Modern Knowledge

Traditional data modelling techniques of DSS and modern knowledge representation methodologies of ES are inconsistent. A new unifying model is needed for integrating the two systems into a unified whole. After a brief review of data modelling techniques and knowledge representation methodologies, the unifying model will be described and integrated systems will be used to exemplify the usefulness of the unifying model.

scholarly journals Game Theory in Molecular Nanosensing System for Rapid Detection of Hg2+ in Aqueous Solutions

2018 ◽  
Vol 8 (12) ◽  
pp. 2530
Author(s):  
Nan Nie ◽  
Xin Zhang ◽  
Chu Fang ◽  
Qiu Zhu ◽  
Jiao Lu ◽  
...  
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Pond Water ◽  
Payoff Matrix ◽  
Proof Of Concept ◽  
Decision Systems ◽  
Theoretical System ◽  
Intelligent Decision ◽  
Simple Molecules ◽  
Intelligent Decision Systems

Game theory—the scientific study of interactive, rational decision making—describes the interaction of two or more players from macroscopic organisms to microscopic cellular and subcellular levels. Life based on molecules is the highest and most complex expression of molecular interactions. However, using simple molecules to expand game theory for molecular decision-making remains challenging. Herein, we demonstrate a proof-of-concept molecular game-theoretical system (molecular prisoner’s dilemma) that relies on formation of the thymine–Hg2+–thymine hairpin structure specifically induced by Hg2+ and fluorescence quenching and molecular adsorption capacities of cobalt oxyhydroxide (CoOOH) nanosheets, resulting in fluorescence intensity and distribution change of polythymine oligonucleotide 33-repeat thymines (T33). The “bait” molecule, T33, interacted with two molecular players, CoOOH and Hg2+, in different states (absence = silence and presence = betrayal), regarded as strategies. We created conflicts (sharing or self-interest) of fluorescence distribution of T33, quantifiable in a 2 × 2 payoff matrix. In addition, the molecular game-theoretical-system based on T33 and CoOOH was used for sensing Hg2+ over the range of 20 to 600 nM with the detection limit of 7.94 nM (3σ) and for determination of Hg2+ in pond water. Inspired by the proof-of-concept for molecular game theory, various molecular decision-making systems could be developed, which would help promote molecular information processing and generating novel molecular intelligent decision systems for environmental monitoring and molecular diagnosis and therapy.

Employing Intelligent Decision Systems to Aid in Information Technology Project Status Decisions

2010 ◽  
pp. 1-26 ◽  
Author(s):  
Anthony P. Barnes ◽  
Robert J. Hammell
Keyword(s):  
Information Technology ◽  
Case Based Reasoning ◽  
Decision Systems ◽  
Technology Project ◽  
Intelligent Decision ◽  
Management Perspective ◽  
The Status ◽  
Information Technology Project ◽  
Intelligent Decision Systems ◽  
Case Based

When a firm initiates and invests into an information technology (IT) project, it is usually with the intention of realizing benefits in the informational, strategic, transactional, and infrastructure objective areas of its IT portfolio (Weill & Broadbent, 1998). From the project management perspective, it is critical to know how the project is performing from the viewpoint of scope, schedule, cost, and other constraints. Lewis (2008) reports that 70% of IT-related projects do not meet their objective. This chapter examines the use of a case-based reasoning decision support architecture that provides a collaborative intelligent agent system to aid in recommending the status of a project using color indicators (Red, Yellow, Green) derived from the progress and condition of the project-related constraints.

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