Construction of Fuzzy Database and Analysis Interface Using Fuzzy Graphs for Management System Operation Analysis
Author:
Affiliation:
1. Tokyo University of Technology, Japan
2. Kaetsu University, Japan
3. Toyo University, Japan
Abstract
Proper management is required to guarantee that an organization functions smoothly and continues to provide its services. Management systems, such as Information Security Management Systems (ISMS) and IT Service Management Systems (ITSMS), are typically applied to the entire organization, and such systems attempt to provide continual improvement. Efficient engagement with business operations is an issue; consequently, understanding and analyzing actual situations is required. The authors have been researching analysis methods using fuzzy theory, which enables imprecise expressions. By building a useful fuzzy database and realizing an analysis method for management system operations, the goal is to develop a useful tool for organizational management. In this paper, the authors describe the concept of fuzzy database construction, an analysis method, and a case study related to management system operations. Fuzzy graphs are used for visualization in the analysis to grasp the overall picture and characteristics of the management system.
Publisher
IGI Global
Subject
Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Science Applications,Software
Reference26 articles.
1. A Consideration on Emotional Topology: Verbal Data Processing and Representation Applied to Athlete Statements
2. A Consideration of Emotional Topology: Representing Psychological Transitions on a Two-Dimensional Map
3. Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure
4. ISO/IEC 20000-1:2011, Information Technology—Service Management—Part 1: Service Management System Requirements. (2011). International Organization for Standardization.
5. ISO/IEC 20000-1:2018, Information technology—Service management—Part 1: Service management system requirements. (2018). International Organization for Standardization.
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