Fuzzy Cognitive Map-Based Conflict Control Model
Abstract
The Research work is concerned with fuzzy cognitive Maps based Conflict control Model. The objective of the work was to develop conflict control model using Fuzzy Cognitive map (FCM) and non–liner Hebbian learning (NHL) that will allow the user (or policy Makres) to optimize the environment factors which are major causative factor of the Tiv-Fulani in other to achieve peace. To achieve the objective, basic factors understood to be influential Tiv-Fulani conflict were to form FCM model that represent the conflict situation while NHL was used to find levels of influence between these environmental factor that will minimize the conflict and maximize peace. Also, causative analyze of some of the factors were carried out in other to know their level of significance to the conflict situation. Soft systems methodology (SSM) and Object Oriented Analysis and Design (OOAD) methodology were used in the design of the system , while the system was implemented with visual basic .Net (VB.NET) The result of the work showed that keeping certain factors within some threshold and ensuring these factors interact at particular levels will reduce conflict and bring peace.
Copyright © 2023 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0
If you like this article, see others like it:
- Implementation of an Academic Research Paper Plagiarism Checker System
- The Effect of Computerization of Library on Students Academy Performance
- Design and Implementation of Emerging Wireless Technology
- A Critical Analysis of the Impact of Twitter Ban on Government Transparency and Accountability
- The Effect of Information Systems on the Performance of E-commerce