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VisiRule Published Papers

VisiRule has been used in many different applications in industry, academia and research. This page features papers published which describe how VisiRule and other LPA software tools are used to create interesting applications.

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Covid Decision Support Expert System in VisiRule

Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19

Describes how a decision tree was constructed using VisiRule to build a stratified framework for a chatbot application and interaction with users.

Authors

Dillon Chrimes

Pages

12

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Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

Farmed fish disease diagnosis is an important problem in the fish farming industry, affecting quality of production and financial losses. In this paper, the authors present a web-based intelligent system that tackles the problem of fish disease diagnosis. 

Authors

Konstantinos Kovas,Ioannis Hatzilygeroudis,Konstantinos Dimitropoulos,Georgios Spiliopoulos,Konstantinos Poulos,Evi Abatzidou,Theofanis Aravanis,Aristeidis Ilias,Grigorios Kanlis and John A. Theodorou

Pages

27

Covid Expert System in VisiRule

Decision-Support Expert System to Assess Severe COVID-19

Describes how the VisiRule application can provide modeling aspects as well as provide insight into the type of data required for a decision-support tool for severe COVID-19 assessments

Authors

Dillon Chrimes*, Hamid Zamani, Clive Spenser and Alan Westwood

Pages

24

Ulcer Expert System in VisiRule

Nurse-led Design and Development of an Expert System for Pressure Ulcer Management

This paper describes a user-centered design approach involving nurses, to develop a prototype expert system for modelling CPGs for Pressure Ulcer management.using VisiRule

Authors

Dympna O'Sullivan, Technological University Dublin

Pages

7

GIS Expert System in VisiRule

A decision support framework to assess and prioritize recovery actions for salmon in the Puget Sound

Presents a spatial decision support framework for the Tulalip Tribes’ Harmonization Initiative

Authors

Philip Murphy, Gregory R. Blair, Sono Hashisaki

Pages

24

PTI Expert System in VisiRule

A Rule-Based System for Human Performance Evaluation: A Case Study

The rule-based expert system improves the quality of traditional decision-making as designed rules provide a visual, transparent, and accurate comparison of observed values with the expected values.

Authors

Iva Mikulic, Dragutin Lisjak and Nedeljko Štefanic

Pages

18

DMSCM Expert System.png

AI Assisted Decision Making Model for Supply Chain Management

Describes how a Decision Making Model for Supply Chain Management (DMSCM) has been created utilising man-made brainpower framework shells VisiRule and Flex.

Authors

Jinka Sreedhar, Narender Chinthamu, Guna Sankar Doguparthy, Birendra Kumar Chauhan, P. Sujatha, M.B. Chandak, Vilis Pawar

Pages

8

Zemela Expert System

Personal Assistant Supporting Diagnosis of Livestock Poisoning

This paper presents a personal assistant that is
able to support veterinarians in diagnosing livestock poisoning.

Authors

Veneta Tabakova-Komsalova; Stanimir Stoyanov; Lyubka Doukovska; Ivan Stoyanov, Stoyan Cherecharov

Pages

4

RSA Expert System in VisiRule

Artificial Intelligent Rule-Based Optimization for Course Allocation Challenges

This paper looks into effectiveness involving in the allocating the teachers to the relevant courses,

Authors

Ismail Olaniyi MURAINA and SEGBENU JOSEPH ZOSU

Pages

7

Selection of Research Design Expert System in VisiRule

Researchers’ Artificial Intelligence Expert System Rule-Based Decision Making Using VisiRule

The RDS Expert serves as a guide for researchers to use in making good decision regarding the type of research design fit their studies.

Authors

Ismail Olaniyi MURAINA and Imran Ademola ADELEKE

Pages

8

Decision Making Machine Learning Chart

The use of VisiRule (Artificial Intelligent Based Expert System) was employed to give directional path ways to the selection of appropriate algorithms from supervised and unsupervised machine learning to different classification methods, regression methods, clustering approaches, dimensionality reduction methods, and association rules.

Authors

Ismail Olaniyi MURAINA*, Moses Adeolu AGOI , Benjamin Oghomena OMOROJOR , Akeem Ademola ADEDOKUN & Rasheed Olatunde AJETUNMOBI

Pages

8

Selection of Machine Learning Algorithms in VisiRule

The study also uses VisiRule software to model series of successful channels to arrive at a good decision-making means.

Authors

Ismail Olaniyi MURAINA and Moses Adeolu AGOI

Pages

8

COPD Lung Disease Expert System

Chronic obstructive lung disease “expert system”: validation of a predictive tool for assisting diagnosis

The ES presented here (COLDES) is a safe and robust supporting tool for COLD diagnosis in primary care settings.

Authors

Fulvio Braido, Pierachille Santus, Angelo Guido Corsico, Fabiano Di Marco, Giovanni Melioli, Nicola Scichilone, Paolo Solidoro

Pages

7

Business Planning Expert System in VisiRule

AN EXPERT SYSTEM FOR SUPPORTING STRATEGIC BUSINESS DECISIONS

This study presents a computerized rule based expert systemthat can be used by managers in the business world to increase their companies’ profitability.

Authors

İlter İrdesel, Gurdal Ertek, Neslihan Beyhan

Pages

20

Supply Chain Management Expert System in VisiRule

A decision-focused knowledge management framework to support collaborative decision making for lean supply chain management

A knowledge system for lean supply chain management (KSLSCM) has been developed using artificial intelligence system shells VisiRule and Flex. 

Authors

Shaofeng Liu, Mike Leat, Jonathan Moizer, Phil Megicks & Dulekha Kasturiratne

Pages

15

Nittaya.png

Visual Knowledge Mining and Utilization in the Inductive Expert System

We demonstrate in this paper that both model induction and model deployment can be done through the visual method using the KNIME and Win-Prolog tools for knowledge acquisition and knowledge deployment, respectively.

Authors

Kittisak Kerdprasop and Nittaya Kerdprasop

Pages

9

VisiRule and Data Mining

From Educational Data Mining Model to the Automated Knowledge Based System Construction

We demonstrate a case study in student loan payment decision using the visualized tools KNIME and WIN-PROLOG to generate a data mining model and a KBS shell, respectively

Authors

Kittisak Kerdprasop and Nittaya Kerdprasop

Pages

6

Intelligent Flowcharting

Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

In this paper, the authors discuss an traditional approach to combining two types of reasoning methodologies, Rule Based Reasoning (RBR) and Case Based Reasoning (CBR).

Authors

N. B. Bilgi and R. V. Kulkarni

Pages

8

Fraud Expert System

Using Rule Technology for Fraud Prevention in Government Insurance

We employ a knowledge engineering methodology to analyze the problem and construct the knowledge model, including the domain schema and rules.

Authors

Ching-Long Yeh , Kuo-Chung Lin, and Meng-Jong Kuan

Pages

11

KADs Exp Sym

Using CommonKADS Method to Build Prototype System in Medical Insurance Fraud Detection

In this paper, we used rule technology to improve the above inefficiency. We employ a knowledge engineering methodology to analyze problems and construct knowledge modesl, including the domain schema and rules.

Authors

Yao-Hsu Tsai, Chieh-Heng Ko, Kuo-Chung Lin

Pages

5

Allergy Testing Expert System

Allergenius, an expert system for the interpretation of allergen microarray results

We developed an ES, named Allergenius ®, to support the interpretation of allergy tests based on microarray technology (ImmunoCAP ISAC ®). The ES was implemented using Flex, a LPA Win-Prolog shell.

Authors

Melioli, Spenser et al

Pages

15

Eye Testing Expert System

Multilayered rule-based expert system for diagnosing uveitis

.In this paper, we design and build a rule based expert system to diagnose uveitis.

Authors

A.M. Mutawa, Mariam A. Alzuwawi

Pages

17

Al-Usouly Expert System

Al Usouly: An expert system in the origins of Islamic jurisprudence domain

This paper describes the deisgn and implementation of a knowledge-based expert system (Al-Uosly) to apply the origins of the Islamic jurisprudence domain to Quranic evidence alone. 

Authors

AM Mutawa, SM Al-Terkait

Pages

24

Landfill Expert System

Fuzzy logic based advisory for handling landfill operational problems for early warning and emergency response planning

This paper details the development of a fuzzy expert system for the proposed bioreactor landfill for city of Dehradun of Uttarakhand.

Authors

Ritesh Saini, Neelu J. Ahuja, Kanchan Deoli Bahukhandi

Pages

16

Bronze casting expert system

Internal Model Expert control for slow cooling rate bronze casting

This paper presents an expert system provided with an internal model, built out of generic visual commands (charts), to controls the process of bronze casting.

Authors

Marius M. Balas, Anamaria Sarbu, Marius Socaci

Pages

6

clothing expert system

Knowledge Acquisition Model for the Clothing Industry in México

This paper describes the creation of a Knowledge Acquisition Model for the Clothing Industry in México

Authors

K Santiago-Santiago

Pages

20

Statistical Expert System in VisiRule

Statistical Approaches and Decision Making Towards Bivariate and Multivariate Analyses with VisiRule

VisiRule was used as a decision enabling tool, presented graphically based on a logic programming model, to make viable
decision before a particular statistical data analysis is being used.

Authors

Ismail O. Muraina, Mukaila A. Rahman and Imran A. Adeleke

Pages

10

Wastewater Decision Support Expert System

Development of a modular Environmental Decision Support System for the Integrated Management of the Urban Wastewater Cycle at River Basin Scale

The project developed Environmental Decision Support System (EDSS) to optimise the integrated management of the UWS based on a rule based system. EDSS will allow proposing the best solution for each scenario focusing the attention on the water quality of the system. 

Authors

D. Murlà, A. Monistrol, Manel Poch, D. Sunyer

Pages

10

NED-2 overview

PROLOG/RDBMS Integration in the NED
Intelligent Information System

NED-2 evaluates forest inventories according to a set of predefined goals. By integrating third-party simulation and visualization packages, NED-2 allows the user to plan, predict, and assess forest treatment scenarios.

Authors

F. Maier, D. Nute, W. D. Potter, J. Wang, M. Twery, H. M. Rauscher, P. Knopp, S. Thomasma, M. Dass, and and H. Uchiyama

Pages

21

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