TL;DR
This paper develops a general fuzzy system model based on fuzzy logic principles, introduces effectiveness measures, and demonstrates their application in mathematical modeling.
Contribution
It presents a novel general model for fuzzy systems and introduces new effectiveness measures, with practical application in mathematical modeling.
Findings
The model captures vagueness and uncertainty in system processes.
Three alternative effectiveness measures are proposed.
Application demonstrates the model's practical utility.
Abstract
We use princiles of fuzzy logic to develop a general model representing several processes in a system's operation characterized by a degree of vagueness and/or uncertainy. Further, we introduce three altenative measures of a fuzzy system's effectiveness connected to the above model. An applcation is also developed for the Mathematical Modelling process illustrating our results.
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Taxonomy
TopicsFuzzy Logic and Control Systems · Fuzzy Systems and Optimization · Multi-Criteria Decision Making