Expert System Tools for Construction Planning and Control

A prototype Expert System, able to assist gynaecologists in diagnosing and classifying cancer of the neck of the womb is designed and implemented. The system is implemented using NeuroShell, an Expert System Building Tool, based on Neural Networks. A neural model, which predicts the possible outcomes of colposcopy and biopsy, based on Pap test results, as well as on information from the patient record, is developed. Such a system is a very useful tool for physicians both as a training tool as well as a forecasting system, while it also has the capability of incorporating new knowledge, provided by each new case it is presented with. Furthermore, a number of different implementations are provided in order to evaluate a comparative study of their performance.

Expert systems in management and administration - are they really different from Decision Support Systems?

Expert systems (ES) are computer programs which make recommendations and draw conclusions from heuristic rules and from relationships derived out of human experience. A decision support system (DSS) is a computer-based management information system (MIS) linking one or more data bases to computer software for exploration and analysis of the data. Combined in a single system an ES and a DSS comprise an expert support system. A simple expert support system for use in fishery stock assessment and management is described. It demonstrates a number of practical benefits of the use of expert systems technology to implement and integrate some simple tasks, i.e., bioeconomic modelling, cost/benefit sampling analyses, and technical interpretation, namely: (1) the effects of different population structures and patterns of fishing on modelling results can be examined under the programmed guidance of the expert system; (2) the effects of different levels of sampling precision on modelling results can be similarly examined; (3) cost/benefit analyses of different sampling budgets can be examined; and (4) management advice specific to each sampling, surplus production (four different models), and net present value (NPV) case is given. An examination of the future of expert support systems in fishery stock assessment and management considers four possible levels of support, as follows: (1) to provide technical explanations, (2) to manage and catalog repetitive processes, (3) to guide “low-level decisions”, and (4) to contribute directly to strategic and policy decisions. Currently, movement in expert systems usage is toward so-called “embedded systems”, for example, an expert support system which comprises, in addition to computational models and databases, one or more expert systems. Problems related to the design and development of ESS for fishery stock assessment and management are challenging conceptual problems; the construction and programming of ESS are reasonably tractable tasks. Determining what an ESS will do is often the principle conceptual question. Expert support systems provide another tool for fishery stock assessment scientists and managers to increase their productivity.

This work presents an expert system for the planning of feeders in power distribution networks. The expert system was written in Turbo-Prolog (version 2.0) and aims to help and increase the efficiency of the design sectors of power distribution companies. The inference rules are based on planning strategies that take into account the quality of the power supplied and the lowest investment in infra-structure. The Load Flow program used is based on the Modified Decoupled Load Flow Method. The integration between the expert system and the Load Flow program is managed by the expert system itself, which is also responsible for automatic reconfiguration of feeders. The program PRODIS is user-friendly and allows easy data input of the parameters of the system and also performs error-checking. The resulting design is easily accessible by users. Planning results are presented.

Expert systems in agriculture and resource management

This paper looks at expert systems in management, by using a business game as an experimental vehicle. An expert system called EXGAME was developed to play a business game, which is normally played by students, with minimal human intervention. This paper concentrates on the effectiveness of EXGAME as compared with human players for tasks at different levels. EXGAME was able to replace human players in decision making at the operational level, and indeed outperform them. However, it proved to be impractical to replace human input at the strategic level. The paper also sheds some light on the problems of trying to build an expert system when there is no real expert. A combination of a modular knowledge-base structure and a process of ‘learning by experimentation’ was effective in this case; it is suggested that this may be an appropriate development strategy in other similar situations. © 1998 John Wiley & Sons, Ltd.

Based on the knowledge rule models and the analysis mathematical models, the two-level real-time expert control system (ECS) was established. With the self-learning ability in expert optimal mode, the expert system (ES) was developed to find the calcining zone's optimal temperature value. To optimize the process, the real-time control system (RTCS) was designed to realize the control of the feeding capacity and negative pressure by self-adjusting algorithm based on CARMA module and least square method. At present, the system was started to work on the stream, and the long-term application shows that it has high reliability and good practicability. Besides, the process and the product quality are developed, and the power is economized.

"Expert Systems in Economics, Banking and Management." Journal of the Operational Research Society, 42(4), p. 345

US reconfirms anti-dumping duties on Indian & Chinese carbazole violet

Automatic knowledge learning in an expert system for space management and planning

Delivered software is often late and over budget, while offering fewer features than requested by the user. Many software developers have difficulties establishing and adhering to a project plan and in delivering what the user wants within the budget and schedule. Developers also have difficulty in obtaining user involvement in the development process. This paper discusses a Web-enabled expert system, Project Management Advisor (PMA), which will provide alerts and corrective actions for some of the common problems that plague software development projects. PMA was developed as a part of a CyberCollaboratory built to facilitate collaborative project work. The development and evaluation of a collaborative generic expert system for identification and analysis of anomalies in project plan data is expected to be useful to many software development teams and managers in a wide variety of organizations PMA is a field prototype and was evaluated rising 11 real world project plans. The preliminary analysis of the findings is presented and discussed.

An integrated expert decision support system for agricultural management

Applications for expert systems are finding their way into every imaginable use. The expert system is a valuable tool, however, not to the exclusion of computer modeling techniques. Computer modeling and expert systems in water management have been used for over ten years to develop appropriate treatment recommendations and monitoring/control functions. Chemical treatment program development in recirculating cooling water, once-through scale inhibition, once-through corrosion control, and on-line real-time system monitoring play an increasingly important role in cooling water management practices.

Chapter 16 - Intelligent and knowledge-based waste management: smart decision-support system

This paper describes a cooperative expert system for managing the transmission expansion planning process, taking into account the selection of feasible transmission routes, as well as the definition of the expansion plan itself. The use of an expert system is proposed to create a planning environment, which can not only emulate the human expert reasoning, but also represent appropriately all heuristic knowledge related to this problem. The main point of this system is the fact that it is able to define feasible alternatives for the expansion of the electrical transmission system. Afterwards, the expert system executes a network flows program, which determines the minimum cost expansion plan. The developed prototype is tested with a realistic system of 500 busbars.