Applications of Fuzzy Cognitive maps

Applications of Fuzzy Cognitive maps

Fuzzy Cognitive Maps (FCM) are maps representing the person’s mental model that explains a given concept or process. Therefore, FCM is a semi-quantitative and dynamic method used to analyze and structure expert knowledge. Like other maps, FCM has several applications in our day-to-day operation. To better understand Fuzzy cognitive maps, this article will guide you through some of the typical uses of FCM.

1. Project Planning

Project planning involves sequential tasks and analysis of the system. In project planning, fuzzy cognitive mapping has vast applications. The technique offers ways of analyzing the mutual dependencies and other project variables. In addition, it promotes mapping the expected result of the project.

2. Product Planning

Fuzzy Cognitive mapping is helpful in product planning and decision-making. In business, product planning involves internalizing all the components and phases necessary to develop a given product. Fuzzy cognitive mapping aids in mapping decisions and steps to be followed when developing products. The cognitive maps describe the idea and steps essential in planning. As a bonus, the mapping process yields successful products.

3. Education

In education, the Fuzzy Cognitive mapping technique is used in mapping success factors. FCM helps in modeling success factors, which are used in Learning systems. In addition, FCM knowledge is used to make computerized teaching tools. Computerized teaching tools use the FCM knowledge to access and check whether the student understands.

4. Engineering Field

The Fuzzy Cognitive Mapping knowledge is critical in the engineering field. The techniques help map and model complex engineering systems, promoting reliability. In reliability engineering, FCM ensures the engineering equipment function without experiencing failures.

5. Robotic Engineering

Robotic Engineering is a sub-component of Fuzzy Cognitive mapping. It greatly impacts the process of modeling robots and controlling their function. FCM technique helps develop, design robotic machines, and predict robot decisions.

6. Expert System

Expert systems are computer programs that use AI and human behaviors to expertise a particular task. The knowledge of FCM can help make an Expert system.

Applications of Fuzzy Cognitive maps

7. Game Theory

In economics, the knowledge of FCM helps use game theory. Game theory is a branch of economics that provides techniques and tools for analyzing and making decisions. Therefore, FCM, a mapping model representing a person’s mental model, can be very important in Game theory.

8. IT Project Management
Several tools, techniques, and software are used in the management process of an IT project. One of the techniques that are used is Fuzzy cognitive mapping. Most management tools are FCM-Based, which helps in risk analysis and modeling. In addition, FCM knowledge is helpful in project documentation.

9. Medical

In the medical field, FCM is critical in modeling medical systems. The FCM technique is central in producing decision support systems that aid in providing a diagnosis. In addition, FCM-based systems are used in medical assessments.

 

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