Development Of Rule-based Expert System Research Articles

Development of Rule-Based Expert System for Variable Cost and Gross Profit Calculations of Agricultural Products: A Case Study

Cost and gross profit calculations of agricultural products are a comprehensive and difficult process. Many different parameters, such as soil cultivation, pruning, spraying, irrigation, storage, drying, harvesting, transportation, and marketing, need to be evaluated together. Currently, cost calculations of agricultural products are made with classical programs and simple mathematical methods. For this reason, the results vary depending on the person and organization making the evaluation. This creates some limitations, making cost planning, which is a dynamic process, unreliable. In the study, a rule-based expert system was developed for the cost and gross profit calculation of apricots. The expert system developed is called Apricot Information System (APRIS). The developed expert system aims to provide more accurate solutions by adding the precision and speed of the computer to the calculation process. The main contribution of this study is the development of a complete decision support set covering all processes from tillage to marketing and the design of rule-based user-system interaction. The designed system found the apricot variable cost calculation to be 1126.36 TL/da for 2020. This value largely overlaps with the values obtained from the field in the previous year. The developed expert system will be a platform that can be used in cost calculations of many agricultural products.

Development of rule-based expert system for conceptualisation of poster design

This study discusses development of rule-based expert system (R-ES) as a decision support for poster design conceptualisation. Users of the proposed expert system are novice poster designers while the experts are senior and professional poster designers. Development of R-ES is started by defining type of poster to be designed. Based on professional poster designer’s experiences, 5 types of poster have been proposed, which are advertising, information, movie, event and political poster. A knowledge-based system consists of IF-THEN rules have been developed by the experts to determine poster design concept that are colour combination, poster size, font type and size, expert note, and poster sample. Result of this study is an online expert system for conceptualisation of poster design that could be widely used by novice poster designers without constrained by space and time.

Development of Rule-based Expert System for Interpretative Report with Health Screening Tests

－Abstract－ Background：Interpretative reporting is an important aspect of laboratory medicine. The large menu of laboratory tests available today makes it increasingly difficult for the non-specialist to order and interpret all laboratory tests. The aim of this study was to determine the usefulness of an expert system to interpret laboratory tests and help physicians order the appropriate tests. Materials and Methods：In order to interpret laboratory tests, a rules-based expert system was developed. In this module, if-then rules were used to interpret the given test result patterns (e.g. urinalysis, anemia, hepatitis B virus, hypercholesterolemia, glucose, syphilis, and tumor markers) and select matching text elements. The system was used to evaluate 535 subjects who visited a health-check program. 1) Results：The overall abnormal rate was 50.5% in the expert system; 34% for cholesterol, 9.9% for urinalysis, 8.0% for anemia, 7.7% for thyroid function tests, 4.5% for tumor marker study, 4.7% for hepatitis virus antigen, 4.3% for serum glucose, and 1.1% for syphilis. Conclusion：These results indicate that the application of the expert system for the

A Gröbner bases-based shell for rule-based expert systems development

A Gröbner Basis of a polynomial ideal is a very special kind of basis. It characterises the ideal and can be calculated by an effective algorithm. It has been shown how it is possible to use Gröbner Bases to compute calculations in Boolean and multi-valued logics. We have extended this work to deal with consistency and knowledge extraction in Rule-Based Expert Systems. In this article, we briefly describe the applications already developed (Railway Interlockings, Medical Appropriateness Criteria), the ongoing development projects (Museums Management, Stock Investment Consulting) and research planned for the immediate future (a full Gröbner Bases-Based Shell for Rule-Based Expert System Development).

A prototype expert system for fishway design

The design of structures for fish passage in rivers and streams provides an opportunity to apply expert system concepts to a design problem. Fishways contribute to the sustainable development of water resources projects by providing a path that allows fish migrations to be maintained. A prototype expert system (FDES) has been developed to recommend the most suitable fishway type for given design conditions. A recommendation is provided on the basis of fishway hydraulics, fish passage performance, and cost requirements. Fishway design demands expertise in various scientific disciplines such as hydrology, hydraulics, and fish biology. Expert system technology may be used to reduce design time requirements and to serve as a teaching aid to inexperienced engineers by organizing and accessing the cumulative knowledge of the most experienced designers. The rule-based expert system development tool, VP-Expert, supplies the backward chaining control structure for accessing the knowledge within the prototype.

Expert system for ion chromatographic methods using dynamically coated ion-interaction separation

The development of an expert system is described for ion chromatographic methods which use ion-interaction chromatography as the separation technique. The object of the system is to help define appropriate starting conditions for the analysis of a desired group of ions. The system is implemented in a rule-based expert system development tool, Xi-Plus. Rules are used which act on certain properties of the sample and on the availability of instrumentation and accessories. With this information the method conditions can be defined for the column, detector and mobile phase. The expert system incorporates a module which allows the user to modify some of the rules in order to avoid problems which arise with expert systems which are too rigid. Many laboratories have their own preferences for columns, etc., which would be difficult for an expert system to predict. The rule change module therefore allows users to customise the system to their own requirements. Two approaches to the knowledge engineering process were employed. The first used the conventional approach of interrogation of an expert (in this case, P. R. Haddad). In the second approach, statistical analyses were applied to a previously compiled database of published ion chromatographic methods. The conclusions from these searches were then examined by the expert to define rules for the expert system. This paper describes this process of knowledge acquisition and some preliminary results on the use of the expert system.

Risk-based parameter selection for short-term reservoir operation

A methodology has been developed to determine the optimal operating horizon for short-term reservoir operation. The modelling procedure includes: (1) an adaptive forecasting algorithm; (2) a real-time reservoir operation model; (3) a multiobjective compromise programming algorithm. The compromise programming algorithm utilizes a multiobjective compromise between the conflicting objectives of hydrologic forecast reliability and reservoir operation penalties. The algorithm requires predetermined weights defining the relative importance of the two objectives. This paper presents a risk-based methodology developed to help a decision maker in selecting the appropriate weights. Reliability, vulnerability, and resiliency are used as three risk-based criteria for assisting in selection of the weights. The methodology is presented in the form of a rule-based system designed to aid the user in the selection process. The methodology is illustrated through an application of the technique to the operation of Green Reservoir in Kentucky. The reservoir model is implemented for four different historical periods and its performance in terms of total penalties, reliability, vulnerability, and resiliency is presented as a function of the multi-objective weighting parameters. The rule-based expert system is then used for deriving recommendations regarding the selection of appropriate weights. The paper also discusses the rule-based expert system development tool, used in this research.

An expert system for the selection of a suitable method for flow measurement in open channels

The science of stream gaging has evolved through the years, mainly from the experiences and innovations of its practitioners. Stream-gaging procedures are standardized on the national and international level. However, the selection of a suitable method for flow measurement is still a fairly complex process. The knowledge-based system described in the paper is designed to aid the user in the selection process. Two aspects of selection are considered: physical characteristics of the gaging site and available equipment and/or structures at the gaging site. The system has been designed for the potential use in Environment Canada. The paper also discusses the rule-based expert system development tool, VP-Expert. Final conclusion of the research presented in the paper is that the expert system technology may help in the surface flow measurement process. The application seems to be natural, since stream gaging procedures are mainly derived from actual practice and experience.

Applications of fuzzy sets to rule-based expert system development

In this paper, problems of implementing rule-based expert systems using fuzzy sets are considered. A fuzzy logic software development shell is used that allows inclusion of both crisp and fuzzy rules in decision making and process control problems. Results are given that compare this type of expert system to a human expert in some specific applications. Advantages and disadvantages of such systems are discussed.

Aircraft VSCF generator expert system

VSCF (variable-speed constant-frequency) electrical systems are designed using standard modules to reduce the manufacturing cost and improve the product quality and services. An expert system that automatically configures the modules required for a particular application is described. It is a rule-based synthesis system with a domain that encompasses the matrix of standard modules. The module functions include electrical generation, conversion, the control. All the modules must be placed in a proper package to fit the space available inside the particular airplane. The configuration system is built by using a rule-based expert system development tool, OPS5, in a VAX 11/750 computer. It has the domain-specific knowledge necessary to configure the generators embedded in its rulebased and exhibits expertise to place the modules in the proper arrangement based on customer specifications and design criteria. The system can also help the engineers and salespersons to determine the configuration at quotation time and to point out any new design which is required.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>