Projects & Grants
| Application of fuzzy methods for evaluating competencies and developing an adaptive web III | |
|---|---|
| Project Id | SGS02/ÚVAFM/20 |
| Main solver | RNDr. Bogdan Walek, Ph.D. |
| Period | 1/2020 - 12/2020 |
| Provider | Specifický VŠ výzkum |
| State | finished |
| Anotation | The main goal of this project (follows up on the project from the last year) is design, implementation and validation of fuzzy approaches in the area of evaluating competencies and the area of development of an adaptive web. In the area of evaluating competencies, we will continue in development and validation of a system for evaluating the different characteristics and competencies of persons. We will focus on a data mining module for finding suitable competencies, loading them to the competency model and to verifying special person competencies (which do not occur in the competency model). We will also focus on an evaluation module for evaluating the most suitable job applicants and on a decision support module for managerial decisions for HR managers. In the area of adaptive web development, we will continue to design and implementation of a recommender system for recommending suitable content based on user preferences and user behavior on the web. We will also design a modified expert system based on current expert system for final ordering of recommended content items. We will also focus on study of current adaptive recommender systems, which continuously recommend suitable content based on dynamically changing user preferences during work with the system. Attention will be also focused on design of adaptive recommender system which is able to dynamically work with changing user preferences during work with the system. We will also focus on extending the hierarchical system for optimizing the dynamic system of traffic crossroad control and verification of the system on various types of crossroads. The project will continue in the results and experience gained in the design and implementation of various fuzzy expert systems in previous years. |
