APPLICATION OF THE Z-IMPLICATION-BASED CONDITIONAL REASONING METHOD IN CONTROLLING THE AIR CONDITIONER REGULATOR

This article considers the issue of application of Z-implication-based conditional reasoning method in controlling an air conditioner. The goal is to automatically regulate the air conditioner, ensuring a constant room temperature. Experience with using household air conditioners shows that the process of cooling or heating the air in a room has some inertia. In order to take into account this feature of the air conditioner control process and to eliminate the additional costs associated with frequent switching between cooling and heating modes, the air conditioner controller should be considered as an output parameter. It is known from the scientific literature that empirical knowledge about the issue under consideration can be presented in the form of heuristic rules. In this case, the information used is of a probabilistic and imprecise nature. The processing of such information cannot be used by logical deduction methods. Currently, methods with relatively low computational complexity are used. In most cases, information is converted into fuzzy information. This is also characterized by information loss. Approaches based on the similarity measure are widely used in research. In this method, the similarity measure between the antecedent of the rule and the current input is calculated. Then the right-hand side is calculated, in which case a linear combination of weights is used for the right-hand side. However, this approach is strictly dependent on the description of the rules. Thus, the rules must be fully described, adding a rule does not cause a problem. In this approach, Z-information can be processed. However, if the given rules are not complete and correct, they lead to incorrect conclusions, the results become approximate, and extrapolation to new situations is not possible. This is not always possible. Logical deduction based on implication is an effective tool in this regard. This article uses Z-implication and Z-conditional reasoning for designing air conditioner regulator, which can take into account both probability and fuzzy uncertainty. Keywords: air conditioner, controller, fuzzy logic, Z-fuzzy implication, Z-conditional reasoning, lingustic terms, Z-rules.