A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data

In certain areas like Network Based Control Systems, Communication Systems and Medical Diagnosis there are problems that are encountered. The problems that are encountered are either recurrent or new ones. Recurrent problems have well defined structured solutions and they also represent majority of...

Full description

Saved in:
Bibliographic Details
Main Author: Africa, Aaron Don M.
Format: text
Published: Animo Repository 2016
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2961
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-3960
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-39602021-11-18T00:55:39Z A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data Africa, Aaron Don M. In certain areas like Network Based Control Systems, Communication Systems and Medical Diagnosis there are problems that are encountered. The problems that are encountered are either recurrent or new ones. Recurrent problems have well defined structured solutions and they also represent majority of the problems. The new ones do not yet have solutions and requires investigations to discover their roots. New problems are not the primary concern in most systems since they rarely occur. The major concerns are the recurrent problems; they are often mistaken as new ones. The solutions to new problems are rediscovered after much trial and error in which time is wasted costing the company valuable resources. An Expert System can be used for problems that keep on occurring. This system can reproduce a valuable technician’s. The system can give an accurate recommendation on the source of the problem for effective troubleshooting before going to the mobilization of resources. One predicament in Expert Systems is that their knowledge base may contain numerous data and suggest different types of solutions to a certain problem. The Expert System may have narrowed out the cause of the problem but it still must give a weight to the ones it has suggested to what the most probable cause. This paper proposes a Conflict Resolution methodology using Logic Scoring of Preference which can be used in several applications like Expert Systems. A sample application is also shown in the medical field. This will greatly help for the user to sequence its diagnostic procedures and solve a problem efficiently. © Research India Publications. 2016-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2961 Faculty Research Work Animo Repository Expert systems (Computer science) Decision support systems Artificial intelligence—Medical applications Electrical and Computer Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Expert systems (Computer science)
Decision support systems
Artificial intelligence—Medical applications
Electrical and Computer Engineering
spellingShingle Expert systems (Computer science)
Decision support systems
Artificial intelligence—Medical applications
Electrical and Computer Engineering
Africa, Aaron Don M.
A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data
description In certain areas like Network Based Control Systems, Communication Systems and Medical Diagnosis there are problems that are encountered. The problems that are encountered are either recurrent or new ones. Recurrent problems have well defined structured solutions and they also represent majority of the problems. The new ones do not yet have solutions and requires investigations to discover their roots. New problems are not the primary concern in most systems since they rarely occur. The major concerns are the recurrent problems; they are often mistaken as new ones. The solutions to new problems are rediscovered after much trial and error in which time is wasted costing the company valuable resources. An Expert System can be used for problems that keep on occurring. This system can reproduce a valuable technician’s. The system can give an accurate recommendation on the source of the problem for effective troubleshooting before going to the mobilization of resources. One predicament in Expert Systems is that their knowledge base may contain numerous data and suggest different types of solutions to a certain problem. The Expert System may have narrowed out the cause of the problem but it still must give a weight to the ones it has suggested to what the most probable cause. This paper proposes a Conflict Resolution methodology using Logic Scoring of Preference which can be used in several applications like Expert Systems. A sample application is also shown in the medical field. This will greatly help for the user to sequence its diagnostic procedures and solve a problem efficiently. © Research India Publications.
format text
author Africa, Aaron Don M.
author_facet Africa, Aaron Don M.
author_sort Africa, Aaron Don M.
title A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data
title_short A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data
title_full A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data
title_fullStr A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data
title_full_unstemmed A mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data
title_sort mathematical conflict resolution methodology using logic scoring of preference sampled in a theoretical medical data
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/2961
_version_ 1718383283627098112